linux/kernel/sched/topology.c

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License cleanup: add SPDX GPL-2.0 license identifier to files with no license Many source files in the tree are missing licensing information, which makes it harder for compliance tools to determine the correct license. By default all files without license information are under the default license of the kernel, which is GPL version 2. Update the files which contain no license information with the 'GPL-2.0' SPDX license identifier. The SPDX identifier is a legally binding shorthand, which can be used instead of the full boiler plate text. This patch is based on work done by Thomas Gleixner and Kate Stewart and Philippe Ombredanne. How this work was done: Patches were generated and checked against linux-4.14-rc6 for a subset of the use cases: - file had no licensing information it it. - file was a */uapi/* one with no licensing information in it, - file was a */uapi/* one with existing licensing information, Further patches will be generated in subsequent months to fix up cases where non-standard license headers were used, and references to license had to be inferred by heuristics based on keywords. The analysis to determine which SPDX License Identifier to be applied to a file was done in a spreadsheet of side by side results from of the output of two independent scanners (ScanCode & Windriver) producing SPDX tag:value files created by Philippe Ombredanne. Philippe prepared the base worksheet, and did an initial spot review of a few 1000 files. The 4.13 kernel was the starting point of the analysis with 60,537 files assessed. Kate Stewart did a file by file comparison of the scanner results in the spreadsheet to determine which SPDX license identifier(s) to be applied to the file. She confirmed any determination that was not immediately clear with lawyers working with the Linux Foundation. Criteria used to select files for SPDX license identifier tagging was: - Files considered eligible had to be source code files. - Make and config files were included as candidates if they contained >5 lines of source - File already had some variant of a license header in it (even if <5 lines). All documentation files were explicitly excluded. The following heuristics were used to determine which SPDX license identifiers to apply. - when both scanners couldn't find any license traces, file was considered to have no license information in it, and the top level COPYING file license applied. For non */uapi/* files that summary was: SPDX license identifier # files ---------------------------------------------------|------- GPL-2.0 11139 and resulted in the first patch in this series. If that file was a */uapi/* path one, it was "GPL-2.0 WITH Linux-syscall-note" otherwise it was "GPL-2.0". Results of that was: SPDX license identifier # files ---------------------------------------------------|------- GPL-2.0 WITH Linux-syscall-note 930 and resulted in the second patch in this series. - if a file had some form of licensing information in it, and was one of the */uapi/* ones, it was denoted with the Linux-syscall-note if any GPL family license was found in the file or had no licensing in it (per prior point). Results summary: SPDX license identifier # files ---------------------------------------------------|------ GPL-2.0 WITH Linux-syscall-note 270 GPL-2.0+ WITH Linux-syscall-note 169 ((GPL-2.0 WITH Linux-syscall-note) OR BSD-2-Clause) 21 ((GPL-2.0 WITH Linux-syscall-note) OR BSD-3-Clause) 17 LGPL-2.1+ WITH Linux-syscall-note 15 GPL-1.0+ WITH Linux-syscall-note 14 ((GPL-2.0+ WITH Linux-syscall-note) OR BSD-3-Clause) 5 LGPL-2.0+ WITH Linux-syscall-note 4 LGPL-2.1 WITH Linux-syscall-note 3 ((GPL-2.0 WITH Linux-syscall-note) OR MIT) 3 ((GPL-2.0 WITH Linux-syscall-note) AND MIT) 1 and that resulted in the third patch in this series. - when the two scanners agreed on the detected license(s), that became the concluded license(s). - when there was disagreement between the two scanners (one detected a license but the other didn't, or they both detected different licenses) a manual inspection of the file occurred. - In most cases a manual inspection of the information in the file resulted in a clear resolution of the license that should apply (and which scanner probably needed to revisit its heuristics). - When it was not immediately clear, the license identifier was confirmed with lawyers working with the Linux Foundation. - If there was any question as to the appropriate license identifier, the file was flagged for further research and to be revisited later in time. In total, over 70 hours of logged manual review was done on the spreadsheet to determine the SPDX license identifiers to apply to the source files by Kate, Philippe, Thomas and, in some cases, confirmation by lawyers working with the Linux Foundation. Kate also obtained a third independent scan of the 4.13 code base from FOSSology, and compared selected files where the other two scanners disagreed against that SPDX file, to see if there was new insights. The Windriver scanner is based on an older version of FOSSology in part, so they are related. Thomas did random spot checks in about 500 files from the spreadsheets for the uapi headers and agreed with SPDX license identifier in the files he inspected. For the non-uapi files Thomas did random spot checks in about 15000 files. In initial set of patches against 4.14-rc6, 3 files were found to have copy/paste license identifier errors, and have been fixed to reflect the correct identifier. Additionally Philippe spent 10 hours this week doing a detailed manual inspection and review of the 12,461 patched files from the initial patch version early this week with: - a full scancode scan run, collecting the matched texts, detected license ids and scores - reviewing anything where there was a license detected (about 500+ files) to ensure that the applied SPDX license was correct - reviewing anything where there was no detection but the patch license was not GPL-2.0 WITH Linux-syscall-note to ensure that the applied SPDX license was correct This produced a worksheet with 20 files needing minor correction. This worksheet was then exported into 3 different .csv files for the different types of files to be modified. These .csv files were then reviewed by Greg. Thomas wrote a script to parse the csv files and add the proper SPDX tag to the file, in the format that the file expected. This script was further refined by Greg based on the output to detect more types of files automatically and to distinguish between header and source .c files (which need different comment types.) Finally Greg ran the script using the .csv files to generate the patches. Reviewed-by: Kate Stewart <kstewart@linuxfoundation.org> Reviewed-by: Philippe Ombredanne <pombredanne@nexb.com> Reviewed-by: Thomas Gleixner <tglx@linutronix.de> Signed-off-by: Greg Kroah-Hartman <gregkh@linuxfoundation.org>
2017-11-01 14:07:57 +00:00
// SPDX-License-Identifier: GPL-2.0
/*
* Scheduler topology setup/handling methods
*/
#include <linux/bsearch.h>
DEFINE_MUTEX(sched_domains_mutex);
/* Protected by sched_domains_mutex: */
static cpumask_var_t sched_domains_tmpmask;
static cpumask_var_t sched_domains_tmpmask2;
#ifdef CONFIG_SCHED_DEBUG
static int __init sched_debug_setup(char *str)
{
sched_debug_verbose = true;
return 0;
}
early_param("sched_verbose", sched_debug_setup);
static inline bool sched_debug(void)
{
return sched_debug_verbose;
}
#define SD_FLAG(_name, mflags) [__##_name] = { .meta_flags = mflags, .name = #_name },
const struct sd_flag_debug sd_flag_debug[] = {
#include <linux/sched/sd_flags.h>
};
#undef SD_FLAG
static int sched_domain_debug_one(struct sched_domain *sd, int cpu, int level,
struct cpumask *groupmask)
{
struct sched_group *group = sd->groups;
unsigned long flags = sd->flags;
unsigned int idx;
cpumask_clear(groupmask);
printk(KERN_DEBUG "%*s domain-%d: ", level, "", level);
printk(KERN_CONT "span=%*pbl level=%s\n",
cpumask_pr_args(sched_domain_span(sd)), sd->name);
if (!cpumask_test_cpu(cpu, sched_domain_span(sd))) {
printk(KERN_ERR "ERROR: domain->span does not contain CPU%d\n", cpu);
}
if (group && !cpumask_test_cpu(cpu, sched_group_span(group))) {
printk(KERN_ERR "ERROR: domain->groups does not contain CPU%d\n", cpu);
}
for_each_set_bit(idx, &flags, __SD_FLAG_CNT) {
unsigned int flag = BIT(idx);
unsigned int meta_flags = sd_flag_debug[idx].meta_flags;
if ((meta_flags & SDF_SHARED_CHILD) && sd->child &&
!(sd->child->flags & flag))
printk(KERN_ERR "ERROR: flag %s set here but not in child\n",
sd_flag_debug[idx].name);
if ((meta_flags & SDF_SHARED_PARENT) && sd->parent &&
!(sd->parent->flags & flag))
printk(KERN_ERR "ERROR: flag %s set here but not in parent\n",
sd_flag_debug[idx].name);
}
printk(KERN_DEBUG "%*s groups:", level + 1, "");
do {
if (!group) {
printk("\n");
printk(KERN_ERR "ERROR: group is NULL\n");
break;
}
if (cpumask_empty(sched_group_span(group))) {
printk(KERN_CONT "\n");
printk(KERN_ERR "ERROR: empty group\n");
break;
}
if (!(sd->flags & SD_OVERLAP) &&
cpumask_intersects(groupmask, sched_group_span(group))) {
printk(KERN_CONT "\n");
printk(KERN_ERR "ERROR: repeated CPUs\n");
break;
}
cpumask_or(groupmask, groupmask, sched_group_span(group));
printk(KERN_CONT " %d:{ span=%*pbl",
group->sgc->id,
cpumask_pr_args(sched_group_span(group)));
if ((sd->flags & SD_OVERLAP) &&
!cpumask_equal(group_balance_mask(group), sched_group_span(group))) {
printk(KERN_CONT " mask=%*pbl",
cpumask_pr_args(group_balance_mask(group)));
}
if (group->sgc->capacity != SCHED_CAPACITY_SCALE)
printk(KERN_CONT " cap=%lu", group->sgc->capacity);
if (group == sd->groups && sd->child &&
!cpumask_equal(sched_domain_span(sd->child),
sched_group_span(group))) {
printk(KERN_ERR "ERROR: domain->groups does not match domain->child\n");
}
printk(KERN_CONT " }");
group = group->next;
if (group != sd->groups)
printk(KERN_CONT ",");
} while (group != sd->groups);
printk(KERN_CONT "\n");
if (!cpumask_equal(sched_domain_span(sd), groupmask))
printk(KERN_ERR "ERROR: groups don't span domain->span\n");
if (sd->parent &&
!cpumask_subset(groupmask, sched_domain_span(sd->parent)))
printk(KERN_ERR "ERROR: parent span is not a superset of domain->span\n");
return 0;
}
static void sched_domain_debug(struct sched_domain *sd, int cpu)
{
int level = 0;
if (!sched_debug_verbose)
return;
if (!sd) {
printk(KERN_DEBUG "CPU%d attaching NULL sched-domain.\n", cpu);
return;
}
printk(KERN_DEBUG "CPU%d attaching sched-domain(s):\n", cpu);
for (;;) {
if (sched_domain_debug_one(sd, cpu, level, sched_domains_tmpmask))
break;
level++;
sd = sd->parent;
if (!sd)
break;
}
}
#else /* !CONFIG_SCHED_DEBUG */
# define sched_debug_verbose 0
# define sched_domain_debug(sd, cpu) do { } while (0)
static inline bool sched_debug(void)
{
return false;
}
#endif /* CONFIG_SCHED_DEBUG */
/* Generate a mask of SD flags with the SDF_NEEDS_GROUPS metaflag */
#define SD_FLAG(name, mflags) (name * !!((mflags) & SDF_NEEDS_GROUPS)) |
static const unsigned int SD_DEGENERATE_GROUPS_MASK =
#include <linux/sched/sd_flags.h>
0;
#undef SD_FLAG
static int sd_degenerate(struct sched_domain *sd)
{
if (cpumask_weight(sched_domain_span(sd)) == 1)
return 1;
/* Following flags need at least 2 groups */
if ((sd->flags & SD_DEGENERATE_GROUPS_MASK) &&
(sd->groups != sd->groups->next))
return 0;
/* Following flags don't use groups */
if (sd->flags & (SD_WAKE_AFFINE))
return 0;
return 1;
}
static int
sd_parent_degenerate(struct sched_domain *sd, struct sched_domain *parent)
{
unsigned long cflags = sd->flags, pflags = parent->flags;
if (sd_degenerate(parent))
return 1;
if (!cpumask_equal(sched_domain_span(sd), sched_domain_span(parent)))
return 0;
/* Flags needing groups don't count if only 1 group in parent */
if (parent->groups == parent->groups->next)
pflags &= ~SD_DEGENERATE_GROUPS_MASK;
if (~cflags & pflags)
return 0;
return 1;
}
sched/topology: Make Energy Aware Scheduling depend on schedutil Energy Aware Scheduling (EAS) is designed with the assumption that frequencies of CPUs follow their utilization value. When using a CPUFreq governor other than schedutil, the chances of this assumption being true are small, if any. When schedutil is being used, EAS' predictions are at least consistent with the frequency requests. Although those requests have no guarantees to be honored by the hardware, they should at least guide DVFS in the right direction and provide some hope in regards to the EAS model being accurate. To make sure EAS is only used in a sane configuration, create a strong dependency on schedutil being used. Since having sugov compiled-in does not provide that guarantee, make CPUFreq call a scheduler function on governor changes hence letting it rebuild the scheduling domains, check the governors of the online CPUs, and enable/disable EAS accordingly. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Rafael J. Wysocki <rjw@rjwysocki.net> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-9-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:21 +00:00
#if defined(CONFIG_ENERGY_MODEL) && defined(CONFIG_CPU_FREQ_GOV_SCHEDUTIL)
DEFINE_STATIC_KEY_FALSE(sched_energy_present);
static unsigned int sysctl_sched_energy_aware = 1;
static DEFINE_MUTEX(sched_energy_mutex);
static bool sched_energy_update;
sched/topology: Make Energy Aware Scheduling depend on schedutil Energy Aware Scheduling (EAS) is designed with the assumption that frequencies of CPUs follow their utilization value. When using a CPUFreq governor other than schedutil, the chances of this assumption being true are small, if any. When schedutil is being used, EAS' predictions are at least consistent with the frequency requests. Although those requests have no guarantees to be honored by the hardware, they should at least guide DVFS in the right direction and provide some hope in regards to the EAS model being accurate. To make sure EAS is only used in a sane configuration, create a strong dependency on schedutil being used. Since having sugov compiled-in does not provide that guarantee, make CPUFreq call a scheduler function on governor changes hence letting it rebuild the scheduling domains, check the governors of the online CPUs, and enable/disable EAS accordingly. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Rafael J. Wysocki <rjw@rjwysocki.net> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-9-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:21 +00:00
sched/topology: Change behaviour of the 'sched_energy_aware' sysctl, based on the platform The 'sched_energy_aware' sysctl is available for the admin to disable/enable energy aware scheduling(EAS). EAS is enabled only if few conditions are met by the platform. They are, asymmetric CPU capacity, no SMT, schedutil CPUfreq governor, frequency invariant load tracking etc. A platform may boot without EAS capability, but could gain such capability at runtime. For example, changing/registering the cpufreq governor to schedutil. At present, though platform doesn't support EAS, this sysctl returns 1 and it ends up calling build_perf_domains on write to 1 and NOP when writing to 0. That is confusing and un-necessary. Desired behavior would be to have this sysctl to enable/disable the EAS on supported platform. On non-supported platform write to the sysctl would return not supported error and read of the sysctl would return empty. So sched_energy_aware returns empty - EAS is not possible at this moment This will include EAS capable platforms which have at least one EAS condition false during startup, e.g. not using the schedutil cpufreq governor sched_energy_aware returns 0 - EAS is supported but disabled by admin. sched_energy_aware returns 1 - EAS is supported and enabled. User can find out the reason why EAS is not possible by checking info messages. sched_is_eas_possible returns true if the platform can do EAS at this moment. Signed-off-by: Shrikanth Hegde <sshegde@linux.vnet.ibm.com> Signed-off-by: Ingo Molnar <mingo@kernel.org> Tested-by: Pierre Gondois <pierre.gondois@arm.com> Reviewed-by: Valentin Schneider <vschneid@redhat.com> Link: https://lore.kernel.org/r/20231009060037.170765-3-sshegde@linux.vnet.ibm.com
2023-10-09 06:00:37 +00:00
static bool sched_is_eas_possible(const struct cpumask *cpu_mask)
{
bool any_asym_capacity = false;
struct cpufreq_policy *policy;
struct cpufreq_governor *gov;
int i;
/* EAS is enabled for asymmetric CPU capacity topologies. */
for_each_cpu(i, cpu_mask) {
if (rcu_access_pointer(per_cpu(sd_asym_cpucapacity, i))) {
any_asym_capacity = true;
break;
}
}
if (!any_asym_capacity) {
if (sched_debug()) {
pr_info("rd %*pbl: Checking EAS, CPUs do not have asymmetric capacities\n",
cpumask_pr_args(cpu_mask));
}
return false;
}
/* EAS definitely does *not* handle SMT */
if (sched_smt_active()) {
if (sched_debug()) {
pr_info("rd %*pbl: Checking EAS, SMT is not supported\n",
cpumask_pr_args(cpu_mask));
}
return false;
}
if (!arch_scale_freq_invariant()) {
if (sched_debug()) {
pr_info("rd %*pbl: Checking EAS: frequency-invariant load tracking not yet supported",
cpumask_pr_args(cpu_mask));
}
return false;
}
/* Do not attempt EAS if schedutil is not being used. */
for_each_cpu(i, cpu_mask) {
policy = cpufreq_cpu_get(i);
if (!policy) {
if (sched_debug()) {
pr_info("rd %*pbl: Checking EAS, cpufreq policy not set for CPU: %d",
cpumask_pr_args(cpu_mask), i);
}
return false;
}
gov = policy->governor;
cpufreq_cpu_put(policy);
if (gov != &schedutil_gov) {
if (sched_debug()) {
pr_info("rd %*pbl: Checking EAS, schedutil is mandatory\n",
cpumask_pr_args(cpu_mask));
}
return false;
}
}
return true;
}
void rebuild_sched_domains_energy(void)
{
mutex_lock(&sched_energy_mutex);
sched_energy_update = true;
rebuild_sched_domains();
sched_energy_update = false;
mutex_unlock(&sched_energy_mutex);
}
sched/topology: Introduce a sysctl for Energy Aware Scheduling In its current state, Energy Aware Scheduling (EAS) starts automatically on asymmetric platforms having an Energy Model (EM). However, there are users who want to have an EM (for thermal management for example), but don't want EAS with it. In order to let users disable EAS explicitly, introduce a new sysctl called 'sched_energy_aware'. It is enabled by default so that EAS can start automatically on platforms where it makes sense. Flipping it to 0 rebuilds the scheduling domains and disables EAS. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: rjw@rjwysocki.net Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-11-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:23 +00:00
#ifdef CONFIG_PROC_SYSCTL
static int sched_energy_aware_handler(struct ctl_table *table, int write,
void *buffer, size_t *lenp, loff_t *ppos)
sched/topology: Introduce a sysctl for Energy Aware Scheduling In its current state, Energy Aware Scheduling (EAS) starts automatically on asymmetric platforms having an Energy Model (EM). However, there are users who want to have an EM (for thermal management for example), but don't want EAS with it. In order to let users disable EAS explicitly, introduce a new sysctl called 'sched_energy_aware'. It is enabled by default so that EAS can start automatically on platforms where it makes sense. Flipping it to 0 rebuilds the scheduling domains and disables EAS. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: rjw@rjwysocki.net Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-11-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:23 +00:00
{
int ret, state;
if (write && !capable(CAP_SYS_ADMIN))
return -EPERM;
sched/topology: Change behaviour of the 'sched_energy_aware' sysctl, based on the platform The 'sched_energy_aware' sysctl is available for the admin to disable/enable energy aware scheduling(EAS). EAS is enabled only if few conditions are met by the platform. They are, asymmetric CPU capacity, no SMT, schedutil CPUfreq governor, frequency invariant load tracking etc. A platform may boot without EAS capability, but could gain such capability at runtime. For example, changing/registering the cpufreq governor to schedutil. At present, though platform doesn't support EAS, this sysctl returns 1 and it ends up calling build_perf_domains on write to 1 and NOP when writing to 0. That is confusing and un-necessary. Desired behavior would be to have this sysctl to enable/disable the EAS on supported platform. On non-supported platform write to the sysctl would return not supported error and read of the sysctl would return empty. So sched_energy_aware returns empty - EAS is not possible at this moment This will include EAS capable platforms which have at least one EAS condition false during startup, e.g. not using the schedutil cpufreq governor sched_energy_aware returns 0 - EAS is supported but disabled by admin. sched_energy_aware returns 1 - EAS is supported and enabled. User can find out the reason why EAS is not possible by checking info messages. sched_is_eas_possible returns true if the platform can do EAS at this moment. Signed-off-by: Shrikanth Hegde <sshegde@linux.vnet.ibm.com> Signed-off-by: Ingo Molnar <mingo@kernel.org> Tested-by: Pierre Gondois <pierre.gondois@arm.com> Reviewed-by: Valentin Schneider <vschneid@redhat.com> Link: https://lore.kernel.org/r/20231009060037.170765-3-sshegde@linux.vnet.ibm.com
2023-10-09 06:00:37 +00:00
if (!sched_is_eas_possible(cpu_active_mask)) {
if (write) {
return -EOPNOTSUPP;
} else {
*lenp = 0;
return 0;
}
}
sched/topology: Introduce a sysctl for Energy Aware Scheduling In its current state, Energy Aware Scheduling (EAS) starts automatically on asymmetric platforms having an Energy Model (EM). However, there are users who want to have an EM (for thermal management for example), but don't want EAS with it. In order to let users disable EAS explicitly, introduce a new sysctl called 'sched_energy_aware'. It is enabled by default so that EAS can start automatically on platforms where it makes sense. Flipping it to 0 rebuilds the scheduling domains and disables EAS. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: rjw@rjwysocki.net Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-11-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:23 +00:00
ret = proc_dointvec_minmax(table, write, buffer, lenp, ppos);
if (!ret && write) {
state = static_branch_unlikely(&sched_energy_present);
if (state != sysctl_sched_energy_aware)
rebuild_sched_domains_energy();
sched/topology: Introduce a sysctl for Energy Aware Scheduling In its current state, Energy Aware Scheduling (EAS) starts automatically on asymmetric platforms having an Energy Model (EM). However, there are users who want to have an EM (for thermal management for example), but don't want EAS with it. In order to let users disable EAS explicitly, introduce a new sysctl called 'sched_energy_aware'. It is enabled by default so that EAS can start automatically on platforms where it makes sense. Flipping it to 0 rebuilds the scheduling domains and disables EAS. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: rjw@rjwysocki.net Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-11-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:23 +00:00
}
return ret;
}
static struct ctl_table sched_energy_aware_sysctls[] = {
{
.procname = "sched_energy_aware",
.data = &sysctl_sched_energy_aware,
.maxlen = sizeof(unsigned int),
.mode = 0644,
.proc_handler = sched_energy_aware_handler,
.extra1 = SYSCTL_ZERO,
.extra2 = SYSCTL_ONE,
},
{}
};
static int __init sched_energy_aware_sysctl_init(void)
{
register_sysctl_init("kernel", sched_energy_aware_sysctls);
return 0;
}
late_initcall(sched_energy_aware_sysctl_init);
sched/topology: Introduce a sysctl for Energy Aware Scheduling In its current state, Energy Aware Scheduling (EAS) starts automatically on asymmetric platforms having an Energy Model (EM). However, there are users who want to have an EM (for thermal management for example), but don't want EAS with it. In order to let users disable EAS explicitly, introduce a new sysctl called 'sched_energy_aware'. It is enabled by default so that EAS can start automatically on platforms where it makes sense. Flipping it to 0 rebuilds the scheduling domains and disables EAS. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: rjw@rjwysocki.net Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-11-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:23 +00:00
#endif
sched/topology: Reference the Energy Model of CPUs when available The existing scheduling domain hierarchy is defined to map to the cache topology of the system. However, Energy Aware Scheduling (EAS) requires more knowledge about the platform, and specifically needs to know about the span of Performance Domains (PD), which do not always align with caches. To address this issue, use the Energy Model (EM) of the system to extend the scheduler topology code with a representation of the PDs, alongside the scheduling domains. More specifically, a linked list of PDs is attached to each root domain. When multiple root domains are in use, each list contains only the PDs covering the CPUs of its root domain. If a PD spans over CPUs of multiple different root domains, it will be duplicated in all lists. The lists are fully maintained by the scheduler from partition_sched_domains() in order to cope with hotplug and cpuset changes. As for scheduling domains, the list are protected by RCU to ensure safe concurrent updates. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: rjw@rjwysocki.net Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-6-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:18 +00:00
static void free_pd(struct perf_domain *pd)
{
struct perf_domain *tmp;
while (pd) {
tmp = pd->next;
kfree(pd);
pd = tmp;
}
}
static struct perf_domain *find_pd(struct perf_domain *pd, int cpu)
{
while (pd) {
if (cpumask_test_cpu(cpu, perf_domain_span(pd)))
return pd;
pd = pd->next;
}
return NULL;
}
static struct perf_domain *pd_init(int cpu)
{
struct em_perf_domain *obj = em_cpu_get(cpu);
struct perf_domain *pd;
if (!obj) {
if (sched_debug())
pr_info("%s: no EM found for CPU%d\n", __func__, cpu);
return NULL;
}
pd = kzalloc(sizeof(*pd), GFP_KERNEL);
if (!pd)
return NULL;
pd->em_pd = obj;
return pd;
}
static void perf_domain_debug(const struct cpumask *cpu_map,
struct perf_domain *pd)
{
if (!sched_debug() || !pd)
return;
printk(KERN_DEBUG "root_domain %*pbl:", cpumask_pr_args(cpu_map));
while (pd) {
printk(KERN_CONT " pd%d:{ cpus=%*pbl nr_pstate=%d }",
sched/topology: Reference the Energy Model of CPUs when available The existing scheduling domain hierarchy is defined to map to the cache topology of the system. However, Energy Aware Scheduling (EAS) requires more knowledge about the platform, and specifically needs to know about the span of Performance Domains (PD), which do not always align with caches. To address this issue, use the Energy Model (EM) of the system to extend the scheduler topology code with a representation of the PDs, alongside the scheduling domains. More specifically, a linked list of PDs is attached to each root domain. When multiple root domains are in use, each list contains only the PDs covering the CPUs of its root domain. If a PD spans over CPUs of multiple different root domains, it will be duplicated in all lists. The lists are fully maintained by the scheduler from partition_sched_domains() in order to cope with hotplug and cpuset changes. As for scheduling domains, the list are protected by RCU to ensure safe concurrent updates. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: rjw@rjwysocki.net Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-6-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:18 +00:00
cpumask_first(perf_domain_span(pd)),
cpumask_pr_args(perf_domain_span(pd)),
em_pd_nr_perf_states(pd->em_pd));
sched/topology: Reference the Energy Model of CPUs when available The existing scheduling domain hierarchy is defined to map to the cache topology of the system. However, Energy Aware Scheduling (EAS) requires more knowledge about the platform, and specifically needs to know about the span of Performance Domains (PD), which do not always align with caches. To address this issue, use the Energy Model (EM) of the system to extend the scheduler topology code with a representation of the PDs, alongside the scheduling domains. More specifically, a linked list of PDs is attached to each root domain. When multiple root domains are in use, each list contains only the PDs covering the CPUs of its root domain. If a PD spans over CPUs of multiple different root domains, it will be duplicated in all lists. The lists are fully maintained by the scheduler from partition_sched_domains() in order to cope with hotplug and cpuset changes. As for scheduling domains, the list are protected by RCU to ensure safe concurrent updates. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: rjw@rjwysocki.net Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-6-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:18 +00:00
pd = pd->next;
}
printk(KERN_CONT "\n");
}
static void destroy_perf_domain_rcu(struct rcu_head *rp)
{
struct perf_domain *pd;
pd = container_of(rp, struct perf_domain, rcu);
free_pd(pd);
}
static void sched_energy_set(bool has_eas)
{
if (!has_eas && static_branch_unlikely(&sched_energy_present)) {
if (sched_debug())
pr_info("%s: stopping EAS\n", __func__);
static_branch_disable_cpuslocked(&sched_energy_present);
} else if (has_eas && !static_branch_unlikely(&sched_energy_present)) {
if (sched_debug())
pr_info("%s: starting EAS\n", __func__);
static_branch_enable_cpuslocked(&sched_energy_present);
}
}
sched/topology: Disable EAS on inappropriate platforms Energy Aware Scheduling (EAS) in its current form is most relevant on platforms with asymmetric CPU topologies (e.g. Arm big.LITTLE) since this is where there is a lot of potential for saving energy through scheduling. This is particularly true since the Energy Model only includes the active power costs of CPUs, hence not providing enough data to compare packing-vs-spreading strategies. As such, disable EAS on root domains where the SD_ASYM_CPUCAPACITY flag is not set. While at it, disable EAS on systems where the complexity of the Energy Model is too high since that could lead to unacceptable scheduling overhead. All in all, EAS can be used on a root domain if and only if: 1. an Energy Model is available; 2. the root domain has an asymmetric CPU capacity topology; 3. the complexity of the root domain's EM is low enough to keep scheduling overheads low. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: rjw@rjwysocki.net Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-8-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:20 +00:00
/*
* EAS can be used on a root domain if it meets all the following conditions:
* 1. an Energy Model (EM) is available;
* 2. the SD_ASYM_CPUCAPACITY flag is set in the sched_domain hierarchy.
* 3. no SMT is detected.
sched/topology: Remove the EM_MAX_COMPLEXITY limit The Energy Aware Scheduler (EAS) estimates the energy consumption of placing a task on different CPUs. The goal is to minimize this energy consumption. Estimating the energy of different task placements is increasingly complex with the size of the platform. To avoid having a slow wake-up path, EAS is only enabled if this complexity is low enough. The current complexity limit was set in: b68a4c0dba3b1 ("sched/topology: Disable EAS on inappropriate platforms") ... based on the first implementation of EAS, which was re-computing the power of the whole platform for each task placement scenario, see: 390031e4c309 ("sched/fair: Introduce an energy estimation helper function") ... but the complexity of EAS was reduced in: eb92692b2544d ("sched/fair: Speed-up energy-aware wake-ups") ... and find_energy_efficient_cpu() (feec) algorithm was updated in: 3e8c6c9aac42 ("sched/fair: Remove task_util from effective utilization in feec()") find_energy_efficient_cpu() (feec) is now doing: feec() \_ for_each_pd(pd) [0] // get max_spare_cap_cpu and compute_prev_delta \_ for_each_cpu(pd) [1] \_ eenv_pd_busy_time(pd) [2] \_ for_each_cpu(pd) // compute_energy(pd) without the task \_ eenv_pd_max_util(pd, -1) [3.0] \_ for_each_cpu(pd) \_ em_cpu_energy(pd, -1) \_ for_each_ps(pd) // compute_energy(pd) with the task on prev_cpu \_ eenv_pd_max_util(pd, prev_cpu) [3.1] \_ for_each_cpu(pd) \_ em_cpu_energy(pd, prev_cpu) \_ for_each_ps(pd) // compute_energy(pd) with the task on max_spare_cap_cpu \_ eenv_pd_max_util(pd, max_spare_cap_cpu) [3.2] \_ for_each_cpu(pd) \_ em_cpu_energy(pd, max_spare_cap_cpu) \_ for_each_ps(pd) [3.1] happens only once since prev_cpu is unique. With the same definitions for nr_pd, nr_cpus and nr_ps, the complexity is of: nr_pd * (2 * [nr_cpus in pd] + 2 * ([nr_cpus in pd] + [nr_ps in pd])) + ([nr_cpus in pd] + [nr_ps in pd]) [0] * ( [1] + [2] + [3.0] + [3.2] ) + [3.1] = nr_pd * (4 * [nr_cpus in pd] + 2 * [nr_ps in pd]) + [nr_cpus in prev pd] + nr_ps The complexity limit was set to 2048 in: b68a4c0dba3b1 ("sched/topology: Disable EAS on inappropriate platforms") ... to make "EAS usable up to 16 CPUs with per-CPU DVFS and less than 8 performance states each". For the same platform, the complexity would actually be of: 16 * (4 + 2 * 7) + 1 + 7 = 296 Since the EAS complexity was greatly reduced since the limit was introduced, bigger platforms can handle EAS. For instance, a platform with 112 CPUs with 7 performance states each would not reach it: 112 * (4 + 2 * 7) + 1 + 7 = 2024 To reflect this improvement in the underlying EAS code, remove the EAS complexity check. Note that a limit on the number of CPUs still holds against EM_MAX_NUM_CPUS to avoid overflows during the energy estimation. [ mingo: Updates to the changelog. ] Signed-off-by: Pierre Gondois <Pierre.Gondois@arm.com> Signed-off-by: Ingo Molnar <mingo@kernel.org> Reviewed-by: Lukasz Luba <lukasz.luba@arm.com> Reviewed-by: Dietmar Eggemann <dietmar.eggemann@arm.com> Link: https://lore.kernel.org/r/20231009060037.170765-2-sshegde@linux.vnet.ibm.com
2023-10-09 06:00:36 +00:00
* 4. schedutil is driving the frequency of all CPUs of the rd;
* 5. frequency invariance support is present;
sched/topology: Disable EAS on inappropriate platforms Energy Aware Scheduling (EAS) in its current form is most relevant on platforms with asymmetric CPU topologies (e.g. Arm big.LITTLE) since this is where there is a lot of potential for saving energy through scheduling. This is particularly true since the Energy Model only includes the active power costs of CPUs, hence not providing enough data to compare packing-vs-spreading strategies. As such, disable EAS on root domains where the SD_ASYM_CPUCAPACITY flag is not set. While at it, disable EAS on systems where the complexity of the Energy Model is too high since that could lead to unacceptable scheduling overhead. All in all, EAS can be used on a root domain if and only if: 1. an Energy Model is available; 2. the root domain has an asymmetric CPU capacity topology; 3. the complexity of the root domain's EM is low enough to keep scheduling overheads low. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: rjw@rjwysocki.net Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-8-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:20 +00:00
*/
static bool build_perf_domains(const struct cpumask *cpu_map)
sched/topology: Reference the Energy Model of CPUs when available The existing scheduling domain hierarchy is defined to map to the cache topology of the system. However, Energy Aware Scheduling (EAS) requires more knowledge about the platform, and specifically needs to know about the span of Performance Domains (PD), which do not always align with caches. To address this issue, use the Energy Model (EM) of the system to extend the scheduler topology code with a representation of the PDs, alongside the scheduling domains. More specifically, a linked list of PDs is attached to each root domain. When multiple root domains are in use, each list contains only the PDs covering the CPUs of its root domain. If a PD spans over CPUs of multiple different root domains, it will be duplicated in all lists. The lists are fully maintained by the scheduler from partition_sched_domains() in order to cope with hotplug and cpuset changes. As for scheduling domains, the list are protected by RCU to ensure safe concurrent updates. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: rjw@rjwysocki.net Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-6-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:18 +00:00
{
sched/topology: Remove the EM_MAX_COMPLEXITY limit The Energy Aware Scheduler (EAS) estimates the energy consumption of placing a task on different CPUs. The goal is to minimize this energy consumption. Estimating the energy of different task placements is increasingly complex with the size of the platform. To avoid having a slow wake-up path, EAS is only enabled if this complexity is low enough. The current complexity limit was set in: b68a4c0dba3b1 ("sched/topology: Disable EAS on inappropriate platforms") ... based on the first implementation of EAS, which was re-computing the power of the whole platform for each task placement scenario, see: 390031e4c309 ("sched/fair: Introduce an energy estimation helper function") ... but the complexity of EAS was reduced in: eb92692b2544d ("sched/fair: Speed-up energy-aware wake-ups") ... and find_energy_efficient_cpu() (feec) algorithm was updated in: 3e8c6c9aac42 ("sched/fair: Remove task_util from effective utilization in feec()") find_energy_efficient_cpu() (feec) is now doing: feec() \_ for_each_pd(pd) [0] // get max_spare_cap_cpu and compute_prev_delta \_ for_each_cpu(pd) [1] \_ eenv_pd_busy_time(pd) [2] \_ for_each_cpu(pd) // compute_energy(pd) without the task \_ eenv_pd_max_util(pd, -1) [3.0] \_ for_each_cpu(pd) \_ em_cpu_energy(pd, -1) \_ for_each_ps(pd) // compute_energy(pd) with the task on prev_cpu \_ eenv_pd_max_util(pd, prev_cpu) [3.1] \_ for_each_cpu(pd) \_ em_cpu_energy(pd, prev_cpu) \_ for_each_ps(pd) // compute_energy(pd) with the task on max_spare_cap_cpu \_ eenv_pd_max_util(pd, max_spare_cap_cpu) [3.2] \_ for_each_cpu(pd) \_ em_cpu_energy(pd, max_spare_cap_cpu) \_ for_each_ps(pd) [3.1] happens only once since prev_cpu is unique. With the same definitions for nr_pd, nr_cpus and nr_ps, the complexity is of: nr_pd * (2 * [nr_cpus in pd] + 2 * ([nr_cpus in pd] + [nr_ps in pd])) + ([nr_cpus in pd] + [nr_ps in pd]) [0] * ( [1] + [2] + [3.0] + [3.2] ) + [3.1] = nr_pd * (4 * [nr_cpus in pd] + 2 * [nr_ps in pd]) + [nr_cpus in prev pd] + nr_ps The complexity limit was set to 2048 in: b68a4c0dba3b1 ("sched/topology: Disable EAS on inappropriate platforms") ... to make "EAS usable up to 16 CPUs with per-CPU DVFS and less than 8 performance states each". For the same platform, the complexity would actually be of: 16 * (4 + 2 * 7) + 1 + 7 = 296 Since the EAS complexity was greatly reduced since the limit was introduced, bigger platforms can handle EAS. For instance, a platform with 112 CPUs with 7 performance states each would not reach it: 112 * (4 + 2 * 7) + 1 + 7 = 2024 To reflect this improvement in the underlying EAS code, remove the EAS complexity check. Note that a limit on the number of CPUs still holds against EM_MAX_NUM_CPUS to avoid overflows during the energy estimation. [ mingo: Updates to the changelog. ] Signed-off-by: Pierre Gondois <Pierre.Gondois@arm.com> Signed-off-by: Ingo Molnar <mingo@kernel.org> Reviewed-by: Lukasz Luba <lukasz.luba@arm.com> Reviewed-by: Dietmar Eggemann <dietmar.eggemann@arm.com> Link: https://lore.kernel.org/r/20231009060037.170765-2-sshegde@linux.vnet.ibm.com
2023-10-09 06:00:36 +00:00
int i;
sched/topology: Reference the Energy Model of CPUs when available The existing scheduling domain hierarchy is defined to map to the cache topology of the system. However, Energy Aware Scheduling (EAS) requires more knowledge about the platform, and specifically needs to know about the span of Performance Domains (PD), which do not always align with caches. To address this issue, use the Energy Model (EM) of the system to extend the scheduler topology code with a representation of the PDs, alongside the scheduling domains. More specifically, a linked list of PDs is attached to each root domain. When multiple root domains are in use, each list contains only the PDs covering the CPUs of its root domain. If a PD spans over CPUs of multiple different root domains, it will be duplicated in all lists. The lists are fully maintained by the scheduler from partition_sched_domains() in order to cope with hotplug and cpuset changes. As for scheduling domains, the list are protected by RCU to ensure safe concurrent updates. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: rjw@rjwysocki.net Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-6-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:18 +00:00
struct perf_domain *pd = NULL, *tmp;
int cpu = cpumask_first(cpu_map);
struct root_domain *rd = cpu_rq(cpu)->rd;
sched/topology: Disable EAS on inappropriate platforms Energy Aware Scheduling (EAS) in its current form is most relevant on platforms with asymmetric CPU topologies (e.g. Arm big.LITTLE) since this is where there is a lot of potential for saving energy through scheduling. This is particularly true since the Energy Model only includes the active power costs of CPUs, hence not providing enough data to compare packing-vs-spreading strategies. As such, disable EAS on root domains where the SD_ASYM_CPUCAPACITY flag is not set. While at it, disable EAS on systems where the complexity of the Energy Model is too high since that could lead to unacceptable scheduling overhead. All in all, EAS can be used on a root domain if and only if: 1. an Energy Model is available; 2. the root domain has an asymmetric CPU capacity topology; 3. the complexity of the root domain's EM is low enough to keep scheduling overheads low. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: rjw@rjwysocki.net Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-8-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:20 +00:00
sched/topology: Introduce a sysctl for Energy Aware Scheduling In its current state, Energy Aware Scheduling (EAS) starts automatically on asymmetric platforms having an Energy Model (EM). However, there are users who want to have an EM (for thermal management for example), but don't want EAS with it. In order to let users disable EAS explicitly, introduce a new sysctl called 'sched_energy_aware'. It is enabled by default so that EAS can start automatically on platforms where it makes sense. Flipping it to 0 rebuilds the scheduling domains and disables EAS. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: rjw@rjwysocki.net Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-11-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:23 +00:00
if (!sysctl_sched_energy_aware)
goto free;
sched/topology: Change behaviour of the 'sched_energy_aware' sysctl, based on the platform The 'sched_energy_aware' sysctl is available for the admin to disable/enable energy aware scheduling(EAS). EAS is enabled only if few conditions are met by the platform. They are, asymmetric CPU capacity, no SMT, schedutil CPUfreq governor, frequency invariant load tracking etc. A platform may boot without EAS capability, but could gain such capability at runtime. For example, changing/registering the cpufreq governor to schedutil. At present, though platform doesn't support EAS, this sysctl returns 1 and it ends up calling build_perf_domains on write to 1 and NOP when writing to 0. That is confusing and un-necessary. Desired behavior would be to have this sysctl to enable/disable the EAS on supported platform. On non-supported platform write to the sysctl would return not supported error and read of the sysctl would return empty. So sched_energy_aware returns empty - EAS is not possible at this moment This will include EAS capable platforms which have at least one EAS condition false during startup, e.g. not using the schedutil cpufreq governor sched_energy_aware returns 0 - EAS is supported but disabled by admin. sched_energy_aware returns 1 - EAS is supported and enabled. User can find out the reason why EAS is not possible by checking info messages. sched_is_eas_possible returns true if the platform can do EAS at this moment. Signed-off-by: Shrikanth Hegde <sshegde@linux.vnet.ibm.com> Signed-off-by: Ingo Molnar <mingo@kernel.org> Tested-by: Pierre Gondois <pierre.gondois@arm.com> Reviewed-by: Valentin Schneider <vschneid@redhat.com> Link: https://lore.kernel.org/r/20231009060037.170765-3-sshegde@linux.vnet.ibm.com
2023-10-09 06:00:37 +00:00
if (!sched_is_eas_possible(cpu_map))
sched/topology: Disable EAS on inappropriate platforms Energy Aware Scheduling (EAS) in its current form is most relevant on platforms with asymmetric CPU topologies (e.g. Arm big.LITTLE) since this is where there is a lot of potential for saving energy through scheduling. This is particularly true since the Energy Model only includes the active power costs of CPUs, hence not providing enough data to compare packing-vs-spreading strategies. As such, disable EAS on root domains where the SD_ASYM_CPUCAPACITY flag is not set. While at it, disable EAS on systems where the complexity of the Energy Model is too high since that could lead to unacceptable scheduling overhead. All in all, EAS can be used on a root domain if and only if: 1. an Energy Model is available; 2. the root domain has an asymmetric CPU capacity topology; 3. the complexity of the root domain's EM is low enough to keep scheduling overheads low. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: rjw@rjwysocki.net Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-8-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:20 +00:00
goto free;
sched/topology: Condition EAS enablement on FIE support In order to make accurate predictions across CPUs and for all performance states, Energy Aware Scheduling (EAS) needs frequency-invariant load tracking signals. EAS task placement aims to minimize energy consumption, and does so in part by limiting the search space to only CPUs with the highest spare capacity (CPU capacity - CPU utilization) in their performance domain. Those candidates are the placement choices that will keep frequency at its lowest possible and therefore save the most energy. But without frequency invariance, a CPU's utilization is relative to the CPU's current performance level, and not relative to its maximum performance level, which determines its capacity. As a result, it will fail to correctly indicate any potential spare capacity obtained by an increase in a CPU's performance level. Therefore, a non-invariant utilization signal would render the EAS task placement logic invalid. Now that we properly report support for the Frequency Invariance Engine (FIE) through arch_scale_freq_invariant() for arm and arm64 systems, while also ensuring a re-evaluation of the EAS use conditions for possible invariance status change, we can assert this is the case when initializing EAS. Warn and bail out otherwise. Suggested-by: Quentin Perret <qperret@google.com> Signed-off-by: Ionela Voinescu <ionela.voinescu@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20201027180713.7642-4-ionela.voinescu@arm.com
2020-10-27 18:07:13 +00:00
sched/topology: Reference the Energy Model of CPUs when available The existing scheduling domain hierarchy is defined to map to the cache topology of the system. However, Energy Aware Scheduling (EAS) requires more knowledge about the platform, and specifically needs to know about the span of Performance Domains (PD), which do not always align with caches. To address this issue, use the Energy Model (EM) of the system to extend the scheduler topology code with a representation of the PDs, alongside the scheduling domains. More specifically, a linked list of PDs is attached to each root domain. When multiple root domains are in use, each list contains only the PDs covering the CPUs of its root domain. If a PD spans over CPUs of multiple different root domains, it will be duplicated in all lists. The lists are fully maintained by the scheduler from partition_sched_domains() in order to cope with hotplug and cpuset changes. As for scheduling domains, the list are protected by RCU to ensure safe concurrent updates. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: rjw@rjwysocki.net Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-6-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:18 +00:00
for_each_cpu(i, cpu_map) {
/* Skip already covered CPUs. */
if (find_pd(pd, i))
continue;
/* Create the new pd and add it to the local list. */
tmp = pd_init(i);
if (!tmp)
goto free;
tmp->next = pd;
pd = tmp;
}
perf_domain_debug(cpu_map, pd);
/* Attach the new list of performance domains to the root domain. */
tmp = rd->pd;
rcu_assign_pointer(rd->pd, pd);
if (tmp)
call_rcu(&tmp->rcu, destroy_perf_domain_rcu);
return !!pd;
sched/topology: Reference the Energy Model of CPUs when available The existing scheduling domain hierarchy is defined to map to the cache topology of the system. However, Energy Aware Scheduling (EAS) requires more knowledge about the platform, and specifically needs to know about the span of Performance Domains (PD), which do not always align with caches. To address this issue, use the Energy Model (EM) of the system to extend the scheduler topology code with a representation of the PDs, alongside the scheduling domains. More specifically, a linked list of PDs is attached to each root domain. When multiple root domains are in use, each list contains only the PDs covering the CPUs of its root domain. If a PD spans over CPUs of multiple different root domains, it will be duplicated in all lists. The lists are fully maintained by the scheduler from partition_sched_domains() in order to cope with hotplug and cpuset changes. As for scheduling domains, the list are protected by RCU to ensure safe concurrent updates. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: rjw@rjwysocki.net Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-6-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:18 +00:00
free:
free_pd(pd);
tmp = rd->pd;
rcu_assign_pointer(rd->pd, NULL);
if (tmp)
call_rcu(&tmp->rcu, destroy_perf_domain_rcu);
return false;
sched/topology: Reference the Energy Model of CPUs when available The existing scheduling domain hierarchy is defined to map to the cache topology of the system. However, Energy Aware Scheduling (EAS) requires more knowledge about the platform, and specifically needs to know about the span of Performance Domains (PD), which do not always align with caches. To address this issue, use the Energy Model (EM) of the system to extend the scheduler topology code with a representation of the PDs, alongside the scheduling domains. More specifically, a linked list of PDs is attached to each root domain. When multiple root domains are in use, each list contains only the PDs covering the CPUs of its root domain. If a PD spans over CPUs of multiple different root domains, it will be duplicated in all lists. The lists are fully maintained by the scheduler from partition_sched_domains() in order to cope with hotplug and cpuset changes. As for scheduling domains, the list are protected by RCU to ensure safe concurrent updates. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: rjw@rjwysocki.net Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-6-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:18 +00:00
}
#else
static void free_pd(struct perf_domain *pd) { }
sched/topology: Make Energy Aware Scheduling depend on schedutil Energy Aware Scheduling (EAS) is designed with the assumption that frequencies of CPUs follow their utilization value. When using a CPUFreq governor other than schedutil, the chances of this assumption being true are small, if any. When schedutil is being used, EAS' predictions are at least consistent with the frequency requests. Although those requests have no guarantees to be honored by the hardware, they should at least guide DVFS in the right direction and provide some hope in regards to the EAS model being accurate. To make sure EAS is only used in a sane configuration, create a strong dependency on schedutil being used. Since having sugov compiled-in does not provide that guarantee, make CPUFreq call a scheduler function on governor changes hence letting it rebuild the scheduling domains, check the governors of the online CPUs, and enable/disable EAS accordingly. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Rafael J. Wysocki <rjw@rjwysocki.net> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-9-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:21 +00:00
#endif /* CONFIG_ENERGY_MODEL && CONFIG_CPU_FREQ_GOV_SCHEDUTIL*/
sched/topology: Reference the Energy Model of CPUs when available The existing scheduling domain hierarchy is defined to map to the cache topology of the system. However, Energy Aware Scheduling (EAS) requires more knowledge about the platform, and specifically needs to know about the span of Performance Domains (PD), which do not always align with caches. To address this issue, use the Energy Model (EM) of the system to extend the scheduler topology code with a representation of the PDs, alongside the scheduling domains. More specifically, a linked list of PDs is attached to each root domain. When multiple root domains are in use, each list contains only the PDs covering the CPUs of its root domain. If a PD spans over CPUs of multiple different root domains, it will be duplicated in all lists. The lists are fully maintained by the scheduler from partition_sched_domains() in order to cope with hotplug and cpuset changes. As for scheduling domains, the list are protected by RCU to ensure safe concurrent updates. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: rjw@rjwysocki.net Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-6-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:18 +00:00
static void free_rootdomain(struct rcu_head *rcu)
{
struct root_domain *rd = container_of(rcu, struct root_domain, rcu);
cpupri_cleanup(&rd->cpupri);
cpudl_cleanup(&rd->cpudl);
free_cpumask_var(rd->dlo_mask);
free_cpumask_var(rd->rto_mask);
free_cpumask_var(rd->online);
free_cpumask_var(rd->span);
sched/topology: Reference the Energy Model of CPUs when available The existing scheduling domain hierarchy is defined to map to the cache topology of the system. However, Energy Aware Scheduling (EAS) requires more knowledge about the platform, and specifically needs to know about the span of Performance Domains (PD), which do not always align with caches. To address this issue, use the Energy Model (EM) of the system to extend the scheduler topology code with a representation of the PDs, alongside the scheduling domains. More specifically, a linked list of PDs is attached to each root domain. When multiple root domains are in use, each list contains only the PDs covering the CPUs of its root domain. If a PD spans over CPUs of multiple different root domains, it will be duplicated in all lists. The lists are fully maintained by the scheduler from partition_sched_domains() in order to cope with hotplug and cpuset changes. As for scheduling domains, the list are protected by RCU to ensure safe concurrent updates. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: rjw@rjwysocki.net Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-6-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:18 +00:00
free_pd(rd->pd);
kfree(rd);
}
void rq_attach_root(struct rq *rq, struct root_domain *rd)
{
struct root_domain *old_rd = NULL;
struct rq_flags rf;
rq_lock_irqsave(rq, &rf);
if (rq->rd) {
old_rd = rq->rd;
if (cpumask_test_cpu(rq->cpu, old_rd->online))
set_rq_offline(rq);
cpumask_clear_cpu(rq->cpu, old_rd->span);
/*
* If we dont want to free the old_rd yet then
* set old_rd to NULL to skip the freeing later
* in this function:
*/
if (!atomic_dec_and_test(&old_rd->refcount))
old_rd = NULL;
}
atomic_inc(&rd->refcount);
rq->rd = rd;
cpumask_set_cpu(rq->cpu, rd->span);
if (cpumask_test_cpu(rq->cpu, cpu_active_mask))
set_rq_online(rq);
rq_unlock_irqrestore(rq, &rf);
if (old_rd)
call_rcu(&old_rd->rcu, free_rootdomain);
}
void sched_get_rd(struct root_domain *rd)
{
atomic_inc(&rd->refcount);
}
void sched_put_rd(struct root_domain *rd)
{
if (!atomic_dec_and_test(&rd->refcount))
return;
call_rcu(&rd->rcu, free_rootdomain);
}
static int init_rootdomain(struct root_domain *rd)
{
if (!zalloc_cpumask_var(&rd->span, GFP_KERNEL))
goto out;
if (!zalloc_cpumask_var(&rd->online, GFP_KERNEL))
goto free_span;
if (!zalloc_cpumask_var(&rd->dlo_mask, GFP_KERNEL))
goto free_online;
if (!zalloc_cpumask_var(&rd->rto_mask, GFP_KERNEL))
goto free_dlo_mask;
sched/rt: Simplify the IPI based RT balancing logic When a CPU lowers its priority (schedules out a high priority task for a lower priority one), a check is made to see if any other CPU has overloaded RT tasks (more than one). It checks the rto_mask to determine this and if so it will request to pull one of those tasks to itself if the non running RT task is of higher priority than the new priority of the next task to run on the current CPU. When we deal with large number of CPUs, the original pull logic suffered from large lock contention on a single CPU run queue, which caused a huge latency across all CPUs. This was caused by only having one CPU having overloaded RT tasks and a bunch of other CPUs lowering their priority. To solve this issue, commit: b6366f048e0c ("sched/rt: Use IPI to trigger RT task push migration instead of pulling") changed the way to request a pull. Instead of grabbing the lock of the overloaded CPU's runqueue, it simply sent an IPI to that CPU to do the work. Although the IPI logic worked very well in removing the large latency build up, it still could suffer from a large number of IPIs being sent to a single CPU. On a 80 CPU box, I measured over 200us of processing IPIs. Worse yet, when I tested this on a 120 CPU box, with a stress test that had lots of RT tasks scheduling on all CPUs, it actually triggered the hard lockup detector! One CPU had so many IPIs sent to it, and due to the restart mechanism that is triggered when the source run queue has a priority status change, the CPU spent minutes! processing the IPIs. Thinking about this further, I realized there's no reason for each run queue to send its own IPI. As all CPUs with overloaded tasks must be scanned regardless if there's one or many CPUs lowering their priority, because there's no current way to find the CPU with the highest priority task that can schedule to one of these CPUs, there really only needs to be one IPI being sent around at a time. This greatly simplifies the code! The new approach is to have each root domain have its own irq work, as the rto_mask is per root domain. The root domain has the following fields attached to it: rto_push_work - the irq work to process each CPU set in rto_mask rto_lock - the lock to protect some of the other rto fields rto_loop_start - an atomic that keeps contention down on rto_lock the first CPU scheduling in a lower priority task is the one to kick off the process. rto_loop_next - an atomic that gets incremented for each CPU that schedules in a lower priority task. rto_loop - a variable protected by rto_lock that is used to compare against rto_loop_next rto_cpu - The cpu to send the next IPI to, also protected by the rto_lock. When a CPU schedules in a lower priority task and wants to make sure overloaded CPUs know about it. It increments the rto_loop_next. Then it atomically sets rto_loop_start with a cmpxchg. If the old value is not "0", then it is done, as another CPU is kicking off the IPI loop. If the old value is "0", then it will take the rto_lock to synchronize with a possible IPI being sent around to the overloaded CPUs. If rto_cpu is greater than or equal to nr_cpu_ids, then there's either no IPI being sent around, or one is about to finish. Then rto_cpu is set to the first CPU in rto_mask and an IPI is sent to that CPU. If there's no CPUs set in rto_mask, then there's nothing to be done. When the CPU receives the IPI, it will first try to push any RT tasks that is queued on the CPU but can't run because a higher priority RT task is currently running on that CPU. Then it takes the rto_lock and looks for the next CPU in the rto_mask. If it finds one, it simply sends an IPI to that CPU and the process continues. If there's no more CPUs in the rto_mask, then rto_loop is compared with rto_loop_next. If they match, everything is done and the process is over. If they do not match, then a CPU scheduled in a lower priority task as the IPI was being passed around, and the process needs to start again. The first CPU in rto_mask is sent the IPI. This change removes this duplication of work in the IPI logic, and greatly lowers the latency caused by the IPIs. This removed the lockup happening on the 120 CPU machine. It also simplifies the code tremendously. What else could anyone ask for? Thanks to Peter Zijlstra for simplifying the rto_loop_start atomic logic and supplying me with the rto_start_trylock() and rto_start_unlock() helper functions. Signed-off-by: Steven Rostedt (VMware) <rostedt@goodmis.org> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Clark Williams <williams@redhat.com> Cc: Daniel Bristot de Oliveira <bristot@redhat.com> Cc: John Kacur <jkacur@redhat.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Scott Wood <swood@redhat.com> Cc: Thomas Gleixner <tglx@linutronix.de> Link: http://lkml.kernel.org/r/20170424114732.1aac6dc4@gandalf.local.home Signed-off-by: Ingo Molnar <mingo@kernel.org>
2017-10-06 18:05:04 +00:00
#ifdef HAVE_RT_PUSH_IPI
rd->rto_cpu = -1;
raw_spin_lock_init(&rd->rto_lock);
rd->rto_push_work = IRQ_WORK_INIT_HARD(rto_push_irq_work_func);
sched/rt: Simplify the IPI based RT balancing logic When a CPU lowers its priority (schedules out a high priority task for a lower priority one), a check is made to see if any other CPU has overloaded RT tasks (more than one). It checks the rto_mask to determine this and if so it will request to pull one of those tasks to itself if the non running RT task is of higher priority than the new priority of the next task to run on the current CPU. When we deal with large number of CPUs, the original pull logic suffered from large lock contention on a single CPU run queue, which caused a huge latency across all CPUs. This was caused by only having one CPU having overloaded RT tasks and a bunch of other CPUs lowering their priority. To solve this issue, commit: b6366f048e0c ("sched/rt: Use IPI to trigger RT task push migration instead of pulling") changed the way to request a pull. Instead of grabbing the lock of the overloaded CPU's runqueue, it simply sent an IPI to that CPU to do the work. Although the IPI logic worked very well in removing the large latency build up, it still could suffer from a large number of IPIs being sent to a single CPU. On a 80 CPU box, I measured over 200us of processing IPIs. Worse yet, when I tested this on a 120 CPU box, with a stress test that had lots of RT tasks scheduling on all CPUs, it actually triggered the hard lockup detector! One CPU had so many IPIs sent to it, and due to the restart mechanism that is triggered when the source run queue has a priority status change, the CPU spent minutes! processing the IPIs. Thinking about this further, I realized there's no reason for each run queue to send its own IPI. As all CPUs with overloaded tasks must be scanned regardless if there's one or many CPUs lowering their priority, because there's no current way to find the CPU with the highest priority task that can schedule to one of these CPUs, there really only needs to be one IPI being sent around at a time. This greatly simplifies the code! The new approach is to have each root domain have its own irq work, as the rto_mask is per root domain. The root domain has the following fields attached to it: rto_push_work - the irq work to process each CPU set in rto_mask rto_lock - the lock to protect some of the other rto fields rto_loop_start - an atomic that keeps contention down on rto_lock the first CPU scheduling in a lower priority task is the one to kick off the process. rto_loop_next - an atomic that gets incremented for each CPU that schedules in a lower priority task. rto_loop - a variable protected by rto_lock that is used to compare against rto_loop_next rto_cpu - The cpu to send the next IPI to, also protected by the rto_lock. When a CPU schedules in a lower priority task and wants to make sure overloaded CPUs know about it. It increments the rto_loop_next. Then it atomically sets rto_loop_start with a cmpxchg. If the old value is not "0", then it is done, as another CPU is kicking off the IPI loop. If the old value is "0", then it will take the rto_lock to synchronize with a possible IPI being sent around to the overloaded CPUs. If rto_cpu is greater than or equal to nr_cpu_ids, then there's either no IPI being sent around, or one is about to finish. Then rto_cpu is set to the first CPU in rto_mask and an IPI is sent to that CPU. If there's no CPUs set in rto_mask, then there's nothing to be done. When the CPU receives the IPI, it will first try to push any RT tasks that is queued on the CPU but can't run because a higher priority RT task is currently running on that CPU. Then it takes the rto_lock and looks for the next CPU in the rto_mask. If it finds one, it simply sends an IPI to that CPU and the process continues. If there's no more CPUs in the rto_mask, then rto_loop is compared with rto_loop_next. If they match, everything is done and the process is over. If they do not match, then a CPU scheduled in a lower priority task as the IPI was being passed around, and the process needs to start again. The first CPU in rto_mask is sent the IPI. This change removes this duplication of work in the IPI logic, and greatly lowers the latency caused by the IPIs. This removed the lockup happening on the 120 CPU machine. It also simplifies the code tremendously. What else could anyone ask for? Thanks to Peter Zijlstra for simplifying the rto_loop_start atomic logic and supplying me with the rto_start_trylock() and rto_start_unlock() helper functions. Signed-off-by: Steven Rostedt (VMware) <rostedt@goodmis.org> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Clark Williams <williams@redhat.com> Cc: Daniel Bristot de Oliveira <bristot@redhat.com> Cc: John Kacur <jkacur@redhat.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Scott Wood <swood@redhat.com> Cc: Thomas Gleixner <tglx@linutronix.de> Link: http://lkml.kernel.org/r/20170424114732.1aac6dc4@gandalf.local.home Signed-off-by: Ingo Molnar <mingo@kernel.org>
2017-10-06 18:05:04 +00:00
#endif
rd->visit_gen = 0;
init_dl_bw(&rd->dl_bw);
if (cpudl_init(&rd->cpudl) != 0)
goto free_rto_mask;
if (cpupri_init(&rd->cpupri) != 0)
goto free_cpudl;
return 0;
free_cpudl:
cpudl_cleanup(&rd->cpudl);
free_rto_mask:
free_cpumask_var(rd->rto_mask);
free_dlo_mask:
free_cpumask_var(rd->dlo_mask);
free_online:
free_cpumask_var(rd->online);
free_span:
free_cpumask_var(rd->span);
out:
return -ENOMEM;
}
/*
* By default the system creates a single root-domain with all CPUs as
* members (mimicking the global state we have today).
*/
struct root_domain def_root_domain;
void __init init_defrootdomain(void)
{
init_rootdomain(&def_root_domain);
atomic_set(&def_root_domain.refcount, 1);
}
static struct root_domain *alloc_rootdomain(void)
{
struct root_domain *rd;
rd = kzalloc(sizeof(*rd), GFP_KERNEL);
if (!rd)
return NULL;
if (init_rootdomain(rd) != 0) {
kfree(rd);
return NULL;
}
return rd;
}
static void free_sched_groups(struct sched_group *sg, int free_sgc)
{
struct sched_group *tmp, *first;
if (!sg)
return;
first = sg;
do {
tmp = sg->next;
if (free_sgc && atomic_dec_and_test(&sg->sgc->ref))
kfree(sg->sgc);
sched/topology: Fix memory leak in __sdt_alloc() Found this issue by kmemleak: the 'sg' and 'sgc' pointers from __sdt_alloc() might be leaked as each domain holds many groups' ref, but in destroy_sched_domain(), it only declined the first group ref. Onlining and offlining a CPU can trigger this leak, and cause OOM. Reproducer for my 6 CPUs machine: while true do echo 0 > /sys/devices/system/cpu/cpu5/online; echo 1 > /sys/devices/system/cpu/cpu5/online; done unreferenced object 0xffff88007d772a80 (size 64): comm "cpuhp/5", pid 39, jiffies 4294719962 (age 35.251s) hex dump (first 32 bytes): c0 22 77 7d 00 88 ff ff 02 00 00 00 01 00 00 00 ."w}............ 40 2a 77 7d 00 88 ff ff 00 00 00 00 00 00 00 00 @*w}............ backtrace: [<ffffffff8176525a>] kmemleak_alloc+0x4a/0xa0 [<ffffffff8121efe1>] __kmalloc_node+0xf1/0x280 [<ffffffff810d94a8>] build_sched_domains+0x1e8/0xf20 [<ffffffff810da674>] partition_sched_domains+0x304/0x360 [<ffffffff81139557>] cpuset_update_active_cpus+0x17/0x40 [<ffffffff810bdb2e>] sched_cpu_activate+0xae/0xc0 [<ffffffff810900e0>] cpuhp_invoke_callback+0x90/0x400 [<ffffffff81090597>] cpuhp_up_callbacks+0x37/0xb0 [<ffffffff81090887>] cpuhp_thread_fun+0xd7/0xf0 [<ffffffff810b37e0>] smpboot_thread_fn+0x110/0x160 [<ffffffff810af5d9>] kthread+0x109/0x140 [<ffffffff81770e45>] ret_from_fork+0x25/0x30 [<ffffffffffffffff>] 0xffffffffffffffff unreferenced object 0xffff88007d772a40 (size 64): comm "cpuhp/5", pid 39, jiffies 4294719962 (age 35.251s) hex dump (first 32 bytes): 03 00 00 00 00 00 00 00 00 04 00 00 00 00 00 00 ................ 00 04 00 00 00 00 00 00 4f 3c fc ff 00 00 00 00 ........O<...... backtrace: [<ffffffff8176525a>] kmemleak_alloc+0x4a/0xa0 [<ffffffff8121efe1>] __kmalloc_node+0xf1/0x280 [<ffffffff810da16d>] build_sched_domains+0xead/0xf20 [<ffffffff810da674>] partition_sched_domains+0x304/0x360 [<ffffffff81139557>] cpuset_update_active_cpus+0x17/0x40 [<ffffffff810bdb2e>] sched_cpu_activate+0xae/0xc0 [<ffffffff810900e0>] cpuhp_invoke_callback+0x90/0x400 [<ffffffff81090597>] cpuhp_up_callbacks+0x37/0xb0 [<ffffffff81090887>] cpuhp_thread_fun+0xd7/0xf0 [<ffffffff810b37e0>] smpboot_thread_fn+0x110/0x160 [<ffffffff810af5d9>] kthread+0x109/0x140 [<ffffffff81770e45>] ret_from_fork+0x25/0x30 [<ffffffffffffffff>] 0xffffffffffffffff Reported-by: Chunyu Hu <chuhu@redhat.com> Signed-off-by: Shu Wang <shuwang@redhat.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Acked-by: Chunyu Hu <chuhu@redhat.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: liwang@redhat.com Link: http://lkml.kernel.org/r/1502351536-9108-1-git-send-email-shuwang@redhat.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2017-08-10 07:52:16 +00:00
if (atomic_dec_and_test(&sg->ref))
kfree(sg);
sg = tmp;
} while (sg != first);
}
static void destroy_sched_domain(struct sched_domain *sd)
{
/*
* A normal sched domain may have multiple group references, an
* overlapping domain, having private groups, only one. Iterate,
* dropping group/capacity references, freeing where none remain.
*/
sched/topology: Fix memory leak in __sdt_alloc() Found this issue by kmemleak: the 'sg' and 'sgc' pointers from __sdt_alloc() might be leaked as each domain holds many groups' ref, but in destroy_sched_domain(), it only declined the first group ref. Onlining and offlining a CPU can trigger this leak, and cause OOM. Reproducer for my 6 CPUs machine: while true do echo 0 > /sys/devices/system/cpu/cpu5/online; echo 1 > /sys/devices/system/cpu/cpu5/online; done unreferenced object 0xffff88007d772a80 (size 64): comm "cpuhp/5", pid 39, jiffies 4294719962 (age 35.251s) hex dump (first 32 bytes): c0 22 77 7d 00 88 ff ff 02 00 00 00 01 00 00 00 ."w}............ 40 2a 77 7d 00 88 ff ff 00 00 00 00 00 00 00 00 @*w}............ backtrace: [<ffffffff8176525a>] kmemleak_alloc+0x4a/0xa0 [<ffffffff8121efe1>] __kmalloc_node+0xf1/0x280 [<ffffffff810d94a8>] build_sched_domains+0x1e8/0xf20 [<ffffffff810da674>] partition_sched_domains+0x304/0x360 [<ffffffff81139557>] cpuset_update_active_cpus+0x17/0x40 [<ffffffff810bdb2e>] sched_cpu_activate+0xae/0xc0 [<ffffffff810900e0>] cpuhp_invoke_callback+0x90/0x400 [<ffffffff81090597>] cpuhp_up_callbacks+0x37/0xb0 [<ffffffff81090887>] cpuhp_thread_fun+0xd7/0xf0 [<ffffffff810b37e0>] smpboot_thread_fn+0x110/0x160 [<ffffffff810af5d9>] kthread+0x109/0x140 [<ffffffff81770e45>] ret_from_fork+0x25/0x30 [<ffffffffffffffff>] 0xffffffffffffffff unreferenced object 0xffff88007d772a40 (size 64): comm "cpuhp/5", pid 39, jiffies 4294719962 (age 35.251s) hex dump (first 32 bytes): 03 00 00 00 00 00 00 00 00 04 00 00 00 00 00 00 ................ 00 04 00 00 00 00 00 00 4f 3c fc ff 00 00 00 00 ........O<...... backtrace: [<ffffffff8176525a>] kmemleak_alloc+0x4a/0xa0 [<ffffffff8121efe1>] __kmalloc_node+0xf1/0x280 [<ffffffff810da16d>] build_sched_domains+0xead/0xf20 [<ffffffff810da674>] partition_sched_domains+0x304/0x360 [<ffffffff81139557>] cpuset_update_active_cpus+0x17/0x40 [<ffffffff810bdb2e>] sched_cpu_activate+0xae/0xc0 [<ffffffff810900e0>] cpuhp_invoke_callback+0x90/0x400 [<ffffffff81090597>] cpuhp_up_callbacks+0x37/0xb0 [<ffffffff81090887>] cpuhp_thread_fun+0xd7/0xf0 [<ffffffff810b37e0>] smpboot_thread_fn+0x110/0x160 [<ffffffff810af5d9>] kthread+0x109/0x140 [<ffffffff81770e45>] ret_from_fork+0x25/0x30 [<ffffffffffffffff>] 0xffffffffffffffff Reported-by: Chunyu Hu <chuhu@redhat.com> Signed-off-by: Shu Wang <shuwang@redhat.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Acked-by: Chunyu Hu <chuhu@redhat.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: liwang@redhat.com Link: http://lkml.kernel.org/r/1502351536-9108-1-git-send-email-shuwang@redhat.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2017-08-10 07:52:16 +00:00
free_sched_groups(sd->groups, 1);
if (sd->shared && atomic_dec_and_test(&sd->shared->ref))
kfree(sd->shared);
kfree(sd);
}
static void destroy_sched_domains_rcu(struct rcu_head *rcu)
{
struct sched_domain *sd = container_of(rcu, struct sched_domain, rcu);
while (sd) {
struct sched_domain *parent = sd->parent;
destroy_sched_domain(sd);
sd = parent;
}
}
static void destroy_sched_domains(struct sched_domain *sd)
{
if (sd)
call_rcu(&sd->rcu, destroy_sched_domains_rcu);
}
/*
* Keep a special pointer to the highest sched_domain that has
* SD_SHARE_PKG_RESOURCE set (Last Level Cache Domain) for this
* allows us to avoid some pointer chasing select_idle_sibling().
*
* Also keep a unique ID per domain (we use the first CPU number in
* the cpumask of the domain), this allows us to quickly tell if
* two CPUs are in the same cache domain, see cpus_share_cache().
*/
sched_domain: Annotate RCU pointers properly The scheduler uses RCU API in various places to access sched_domain pointers. These cause sparse errors as below. Many new errors show up because of an annotation check I added to rcu_assign_pointer(). Let us annotate the pointers correctly which also will help sparse catch any potential future bugs. This fixes the following sparse errors: rt.c:1681:9: error: incompatible types in comparison expression deadline.c:1904:9: error: incompatible types in comparison expression core.c:519:9: error: incompatible types in comparison expression core.c:1634:17: error: incompatible types in comparison expression fair.c:6193:14: error: incompatible types in comparison expression fair.c:9883:22: error: incompatible types in comparison expression fair.c:9897:9: error: incompatible types in comparison expression sched.h:1287:9: error: incompatible types in comparison expression topology.c:612:9: error: incompatible types in comparison expression topology.c:615:9: error: incompatible types in comparison expression sched.h:1300:9: error: incompatible types in comparison expression topology.c:618:9: error: incompatible types in comparison expression sched.h:1287:9: error: incompatible types in comparison expression topology.c:621:9: error: incompatible types in comparison expression sched.h:1300:9: error: incompatible types in comparison expression topology.c:624:9: error: incompatible types in comparison expression topology.c:671:9: error: incompatible types in comparison expression stats.c:45:17: error: incompatible types in comparison expression fair.c:5998:15: error: incompatible types in comparison expression fair.c:5989:15: error: incompatible types in comparison expression fair.c:5998:15: error: incompatible types in comparison expression fair.c:5989:15: error: incompatible types in comparison expression fair.c:6120:19: error: incompatible types in comparison expression fair.c:6506:14: error: incompatible types in comparison expression fair.c:6515:14: error: incompatible types in comparison expression fair.c:6623:9: error: incompatible types in comparison expression fair.c:5970:17: error: incompatible types in comparison expression fair.c:8642:21: error: incompatible types in comparison expression fair.c:9253:9: error: incompatible types in comparison expression fair.c:9331:9: error: incompatible types in comparison expression fair.c:9519:15: error: incompatible types in comparison expression fair.c:9533:14: error: incompatible types in comparison expression fair.c:9542:14: error: incompatible types in comparison expression fair.c:9567:14: error: incompatible types in comparison expression fair.c:9597:14: error: incompatible types in comparison expression fair.c:9421:16: error: incompatible types in comparison expression fair.c:9421:16: error: incompatible types in comparison expression Signed-off-by: Joel Fernandes (Google) <joel@joelfernandes.org> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> [ From an RCU perspective. ] Reviewed-by: Paul E. McKenney <paulmck@linux.ibm.com> Cc: Josh Triplett <josh@joshtriplett.org> Cc: Lai Jiangshan <jiangshanlai@gmail.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Luc Van Oostenryck <luc.vanoostenryck@gmail.com> Cc: Mathieu Desnoyers <mathieu.desnoyers@efficios.com> Cc: Mike Galbraith <efault@gmx.de> Cc: Morten Rasmussen <morten.rasmussen@arm.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Steven Rostedt <rostedt@goodmis.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: keescook@chromium.org Cc: kernel-hardening@lists.openwall.com Cc: kernel-team@android.com Link: https://lkml.kernel.org/r/20190321003426.160260-3-joel@joelfernandes.org Signed-off-by: Ingo Molnar <mingo@kernel.org>
2019-03-21 00:34:24 +00:00
DEFINE_PER_CPU(struct sched_domain __rcu *, sd_llc);
DEFINE_PER_CPU(int, sd_llc_size);
DEFINE_PER_CPU(int, sd_llc_id);
DEFINE_PER_CPU(int, sd_share_id);
sched_domain: Annotate RCU pointers properly The scheduler uses RCU API in various places to access sched_domain pointers. These cause sparse errors as below. Many new errors show up because of an annotation check I added to rcu_assign_pointer(). Let us annotate the pointers correctly which also will help sparse catch any potential future bugs. This fixes the following sparse errors: rt.c:1681:9: error: incompatible types in comparison expression deadline.c:1904:9: error: incompatible types in comparison expression core.c:519:9: error: incompatible types in comparison expression core.c:1634:17: error: incompatible types in comparison expression fair.c:6193:14: error: incompatible types in comparison expression fair.c:9883:22: error: incompatible types in comparison expression fair.c:9897:9: error: incompatible types in comparison expression sched.h:1287:9: error: incompatible types in comparison expression topology.c:612:9: error: incompatible types in comparison expression topology.c:615:9: error: incompatible types in comparison expression sched.h:1300:9: error: incompatible types in comparison expression topology.c:618:9: error: incompatible types in comparison expression sched.h:1287:9: error: incompatible types in comparison expression topology.c:621:9: error: incompatible types in comparison expression sched.h:1300:9: error: incompatible types in comparison expression topology.c:624:9: error: incompatible types in comparison expression topology.c:671:9: error: incompatible types in comparison expression stats.c:45:17: error: incompatible types in comparison expression fair.c:5998:15: error: incompatible types in comparison expression fair.c:5989:15: error: incompatible types in comparison expression fair.c:5998:15: error: incompatible types in comparison expression fair.c:5989:15: error: incompatible types in comparison expression fair.c:6120:19: error: incompatible types in comparison expression fair.c:6506:14: error: incompatible types in comparison expression fair.c:6515:14: error: incompatible types in comparison expression fair.c:6623:9: error: incompatible types in comparison expression fair.c:5970:17: error: incompatible types in comparison expression fair.c:8642:21: error: incompatible types in comparison expression fair.c:9253:9: error: incompatible types in comparison expression fair.c:9331:9: error: incompatible types in comparison expression fair.c:9519:15: error: incompatible types in comparison expression fair.c:9533:14: error: incompatible types in comparison expression fair.c:9542:14: error: incompatible types in comparison expression fair.c:9567:14: error: incompatible types in comparison expression fair.c:9597:14: error: incompatible types in comparison expression fair.c:9421:16: error: incompatible types in comparison expression fair.c:9421:16: error: incompatible types in comparison expression Signed-off-by: Joel Fernandes (Google) <joel@joelfernandes.org> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> [ From an RCU perspective. ] Reviewed-by: Paul E. McKenney <paulmck@linux.ibm.com> Cc: Josh Triplett <josh@joshtriplett.org> Cc: Lai Jiangshan <jiangshanlai@gmail.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Luc Van Oostenryck <luc.vanoostenryck@gmail.com> Cc: Mathieu Desnoyers <mathieu.desnoyers@efficios.com> Cc: Mike Galbraith <efault@gmx.de> Cc: Morten Rasmussen <morten.rasmussen@arm.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Steven Rostedt <rostedt@goodmis.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: keescook@chromium.org Cc: kernel-hardening@lists.openwall.com Cc: kernel-team@android.com Link: https://lkml.kernel.org/r/20190321003426.160260-3-joel@joelfernandes.org Signed-off-by: Ingo Molnar <mingo@kernel.org>
2019-03-21 00:34:24 +00:00
DEFINE_PER_CPU(struct sched_domain_shared __rcu *, sd_llc_shared);
DEFINE_PER_CPU(struct sched_domain __rcu *, sd_numa);
DEFINE_PER_CPU(struct sched_domain __rcu *, sd_asym_packing);
DEFINE_PER_CPU(struct sched_domain __rcu *, sd_asym_cpucapacity);
sched/fair: Scan cluster before scanning LLC in wake-up path For platforms having clusters like Kunpeng920, CPUs within the same cluster have lower latency when synchronizing and accessing shared resources like cache. Thus, this patch tries to find an idle cpu within the cluster of the target CPU before scanning the whole LLC to gain lower latency. This will be implemented in 2 steps in select_idle_sibling(): 1. When the prev_cpu/recent_used_cpu are good wakeup candidates, use them if they're sharing cluster with the target CPU. Otherwise trying to scan for an idle CPU in the target's cluster. 2. Scanning the cluster prior to the LLC of the target CPU for an idle CPU to wakeup. Testing has been done on Kunpeng920 by pinning tasks to one numa and two numa. On Kunpeng920, Each numa has 8 clusters and each cluster has 4 CPUs. With this patch, We noticed enhancement on tbench and netperf within one numa or cross two numa on top of tip-sched-core commit 9b46f1abc6d4 ("sched/debug: Print 'tgid' in sched_show_task()") tbench results (node 0): baseline patched 1: 327.2833 372.4623 ( 13.80%) 4: 1320.5933 1479.8833 ( 12.06%) 8: 2638.4867 2921.5267 ( 10.73%) 16: 5282.7133 5891.5633 ( 11.53%) 32: 9810.6733 9877.3400 ( 0.68%) 64: 7408.9367 7447.9900 ( 0.53%) 128: 6203.2600 6191.6500 ( -0.19%) tbench results (node 0-1): baseline patched 1: 332.0433 372.7223 ( 12.25%) 4: 1325.4667 1477.6733 ( 11.48%) 8: 2622.9433 2897.9967 ( 10.49%) 16: 5218.6100 5878.2967 ( 12.64%) 32: 10211.7000 11494.4000 ( 12.56%) 64: 13313.7333 16740.0333 ( 25.74%) 128: 13959.1000 14533.9000 ( 4.12%) netperf results TCP_RR (node 0): baseline patched 1: 76546.5033 90649.9867 ( 18.42%) 4: 77292.4450 90932.7175 ( 17.65%) 8: 77367.7254 90882.3467 ( 17.47%) 16: 78519.9048 90938.8344 ( 15.82%) 32: 72169.5035 72851.6730 ( 0.95%) 64: 25911.2457 25882.2315 ( -0.11%) 128: 10752.6572 10768.6038 ( 0.15%) netperf results TCP_RR (node 0-1): baseline patched 1: 76857.6667 90892.2767 ( 18.26%) 4: 78236.6475 90767.3017 ( 16.02%) 8: 77929.6096 90684.1633 ( 16.37%) 16: 77438.5873 90502.5787 ( 16.87%) 32: 74205.6635 88301.5612 ( 19.00%) 64: 69827.8535 71787.6706 ( 2.81%) 128: 25281.4366 25771.3023 ( 1.94%) netperf results UDP_RR (node 0): baseline patched 1: 96869.8400 110800.8467 ( 14.38%) 4: 97744.9750 109680.5425 ( 12.21%) 8: 98783.9863 110409.9637 ( 11.77%) 16: 99575.0235 110636.2435 ( 11.11%) 32: 95044.7250 97622.8887 ( 2.71%) 64: 32925.2146 32644.4991 ( -0.85%) 128: 12859.2343 12824.0051 ( -0.27%) netperf results UDP_RR (node 0-1): baseline patched 1: 97202.4733 110190.1200 ( 13.36%) 4: 95954.0558 106245.7258 ( 10.73%) 8: 96277.1958 105206.5304 ( 9.27%) 16: 97692.7810 107927.2125 ( 10.48%) 32: 79999.6702 103550.2999 ( 29.44%) 64: 80592.7413 87284.0856 ( 8.30%) 128: 27701.5770 29914.5820 ( 7.99%) Note neither Kunpeng920 nor x86 Jacobsville supports SMT, so the SMT branch in the code has not been tested but it supposed to work. Chen Yu also noticed this will improve the performance of tbench and netperf on a 24 CPUs Jacobsville machine, there are 4 CPUs in one cluster sharing L2 Cache. [https://lore.kernel.org/lkml/Ytfjs+m1kUs0ScSn@worktop.programming.kicks-ass.net] Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Barry Song <song.bao.hua@hisilicon.com> Signed-off-by: Yicong Yang <yangyicong@hisilicon.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Tim Chen <tim.c.chen@linux.intel.com> Reviewed-by: Chen Yu <yu.c.chen@intel.com> Reviewed-by: Gautham R. Shenoy <gautham.shenoy@amd.com> Reviewed-by: Vincent Guittot <vincent.guittot@linaro.org> Tested-and-reviewed-by: Chen Yu <yu.c.chen@intel.com> Tested-by: Yicong Yang <yangyicong@hisilicon.com> Link: https://lkml.kernel.org/r/20231019033323.54147-3-yangyicong@huawei.com
2023-10-19 03:33:22 +00:00
DEFINE_STATIC_KEY_FALSE(sched_asym_cpucapacity);
sched/fair: Scan cluster before scanning LLC in wake-up path For platforms having clusters like Kunpeng920, CPUs within the same cluster have lower latency when synchronizing and accessing shared resources like cache. Thus, this patch tries to find an idle cpu within the cluster of the target CPU before scanning the whole LLC to gain lower latency. This will be implemented in 2 steps in select_idle_sibling(): 1. When the prev_cpu/recent_used_cpu are good wakeup candidates, use them if they're sharing cluster with the target CPU. Otherwise trying to scan for an idle CPU in the target's cluster. 2. Scanning the cluster prior to the LLC of the target CPU for an idle CPU to wakeup. Testing has been done on Kunpeng920 by pinning tasks to one numa and two numa. On Kunpeng920, Each numa has 8 clusters and each cluster has 4 CPUs. With this patch, We noticed enhancement on tbench and netperf within one numa or cross two numa on top of tip-sched-core commit 9b46f1abc6d4 ("sched/debug: Print 'tgid' in sched_show_task()") tbench results (node 0): baseline patched 1: 327.2833 372.4623 ( 13.80%) 4: 1320.5933 1479.8833 ( 12.06%) 8: 2638.4867 2921.5267 ( 10.73%) 16: 5282.7133 5891.5633 ( 11.53%) 32: 9810.6733 9877.3400 ( 0.68%) 64: 7408.9367 7447.9900 ( 0.53%) 128: 6203.2600 6191.6500 ( -0.19%) tbench results (node 0-1): baseline patched 1: 332.0433 372.7223 ( 12.25%) 4: 1325.4667 1477.6733 ( 11.48%) 8: 2622.9433 2897.9967 ( 10.49%) 16: 5218.6100 5878.2967 ( 12.64%) 32: 10211.7000 11494.4000 ( 12.56%) 64: 13313.7333 16740.0333 ( 25.74%) 128: 13959.1000 14533.9000 ( 4.12%) netperf results TCP_RR (node 0): baseline patched 1: 76546.5033 90649.9867 ( 18.42%) 4: 77292.4450 90932.7175 ( 17.65%) 8: 77367.7254 90882.3467 ( 17.47%) 16: 78519.9048 90938.8344 ( 15.82%) 32: 72169.5035 72851.6730 ( 0.95%) 64: 25911.2457 25882.2315 ( -0.11%) 128: 10752.6572 10768.6038 ( 0.15%) netperf results TCP_RR (node 0-1): baseline patched 1: 76857.6667 90892.2767 ( 18.26%) 4: 78236.6475 90767.3017 ( 16.02%) 8: 77929.6096 90684.1633 ( 16.37%) 16: 77438.5873 90502.5787 ( 16.87%) 32: 74205.6635 88301.5612 ( 19.00%) 64: 69827.8535 71787.6706 ( 2.81%) 128: 25281.4366 25771.3023 ( 1.94%) netperf results UDP_RR (node 0): baseline patched 1: 96869.8400 110800.8467 ( 14.38%) 4: 97744.9750 109680.5425 ( 12.21%) 8: 98783.9863 110409.9637 ( 11.77%) 16: 99575.0235 110636.2435 ( 11.11%) 32: 95044.7250 97622.8887 ( 2.71%) 64: 32925.2146 32644.4991 ( -0.85%) 128: 12859.2343 12824.0051 ( -0.27%) netperf results UDP_RR (node 0-1): baseline patched 1: 97202.4733 110190.1200 ( 13.36%) 4: 95954.0558 106245.7258 ( 10.73%) 8: 96277.1958 105206.5304 ( 9.27%) 16: 97692.7810 107927.2125 ( 10.48%) 32: 79999.6702 103550.2999 ( 29.44%) 64: 80592.7413 87284.0856 ( 8.30%) 128: 27701.5770 29914.5820 ( 7.99%) Note neither Kunpeng920 nor x86 Jacobsville supports SMT, so the SMT branch in the code has not been tested but it supposed to work. Chen Yu also noticed this will improve the performance of tbench and netperf on a 24 CPUs Jacobsville machine, there are 4 CPUs in one cluster sharing L2 Cache. [https://lore.kernel.org/lkml/Ytfjs+m1kUs0ScSn@worktop.programming.kicks-ass.net] Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Barry Song <song.bao.hua@hisilicon.com> Signed-off-by: Yicong Yang <yangyicong@hisilicon.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Tim Chen <tim.c.chen@linux.intel.com> Reviewed-by: Chen Yu <yu.c.chen@intel.com> Reviewed-by: Gautham R. Shenoy <gautham.shenoy@amd.com> Reviewed-by: Vincent Guittot <vincent.guittot@linaro.org> Tested-and-reviewed-by: Chen Yu <yu.c.chen@intel.com> Tested-by: Yicong Yang <yangyicong@hisilicon.com> Link: https://lkml.kernel.org/r/20231019033323.54147-3-yangyicong@huawei.com
2023-10-19 03:33:22 +00:00
DEFINE_STATIC_KEY_FALSE(sched_cluster_active);
static void update_top_cache_domain(int cpu)
{
struct sched_domain_shared *sds = NULL;
struct sched_domain *sd;
int id = cpu;
int size = 1;
sd = highest_flag_domain(cpu, SD_SHARE_PKG_RESOURCES);
if (sd) {
id = cpumask_first(sched_domain_span(sd));
size = cpumask_weight(sched_domain_span(sd));
sds = sd->shared;
}
rcu_assign_pointer(per_cpu(sd_llc, cpu), sd);
per_cpu(sd_llc_size, cpu) = size;
per_cpu(sd_llc_id, cpu) = id;
rcu_assign_pointer(per_cpu(sd_llc_shared, cpu), sds);
sd = lowest_flag_domain(cpu, SD_CLUSTER);
if (sd)
id = cpumask_first(sched_domain_span(sd));
/*
* This assignment should be placed after the sd_llc_id as
* we want this id equals to cluster id on cluster machines
* but equals to LLC id on non-Cluster machines.
*/
per_cpu(sd_share_id, cpu) = id;
sd = lowest_flag_domain(cpu, SD_NUMA);
rcu_assign_pointer(per_cpu(sd_numa, cpu), sd);
sd = highest_flag_domain(cpu, SD_ASYM_PACKING);
sched/topology: Add lowest CPU asymmetry sched_domain level pointer Add another member to the family of per-cpu sched_domain shortcut pointers. This one, sd_asym_cpucapacity, points to the lowest level at which the SD_ASYM_CPUCAPACITY flag is set. While at it, rename the sd_asym shortcut to sd_asym_packing to avoid confusions. Generally speaking, the largest opportunity to save energy via scheduling comes from a smarter exploitation of heterogeneous platforms (i.e. big.LITTLE). Consequently, the sd_asym_cpucapacity shortcut will be used at first as the lowest domain where Energy-Aware Scheduling (EAS) should be applied. For example, it is possible to apply EAS within a socket on a multi-socket system, as long as each socket has an asymmetric topology. Energy-aware cross-sockets wake-up balancing will only happen when the system is over-utilized, or this_cpu and prev_cpu are in different sockets. Suggested-by: Morten Rasmussen <morten.rasmussen@arm.com> Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: rjw@rjwysocki.net Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-7-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:19 +00:00
rcu_assign_pointer(per_cpu(sd_asym_packing, cpu), sd);
sched/topology: Rework CPU capacity asymmetry detection Currently the CPU capacity asymmetry detection, performed through asym_cpu_capacity_level, tries to identify the lowest topology level at which the highest CPU capacity is being observed, not necessarily finding the level at which all possible capacity values are visible to all CPUs, which might be bit problematic for some possible/valid asymmetric topologies i.e.: DIE [ ] MC [ ][ ] CPU [0] [1] [2] [3] [4] [5] [6] [7] Capacity |.....| |.....| |.....| |.....| L M B B Where: arch_scale_cpu_capacity(L) = 512 arch_scale_cpu_capacity(M) = 871 arch_scale_cpu_capacity(B) = 1024 In this particular case, the asymmetric topology level will point at MC, as all possible CPU masks for that level do cover the CPU with the highest capacity. It will work just fine for the first cluster, not so much for the second one though (consider the find_energy_efficient_cpu which might end up attempting the energy aware wake-up for a domain that does not see any asymmetry at all) Rework the way the capacity asymmetry levels are being detected, allowing to point to the lowest topology level (for a given CPU), where full set of available CPU capacities is visible to all CPUs within given domain. As a result, the per-cpu sd_asym_cpucapacity might differ across the domains. This will have an impact on EAS wake-up placement in a way that it might see different range of CPUs to be considered, depending on the given current and target CPUs. Additionally, those levels, where any range of asymmetry (not necessarily full) is being detected will get identified as well. The selected asymmetric topology level will be denoted by SD_ASYM_CPUCAPACITY_FULL sched domain flag whereas the 'sub-levels' would receive the already used SD_ASYM_CPUCAPACITY flag. This allows maintaining the current behaviour for asymmetric topologies, with misfit migration operating correctly on lower levels, if applicable, as any asymmetry is enough to trigger the misfit migration. The logic there relies on the SD_ASYM_CPUCAPACITY flag and does not relate to the full asymmetry level denoted by the sd_asym_cpucapacity pointer. Detecting the CPU capacity asymmetry is being based on a set of available CPU capacities for all possible CPUs. This data is being generated upon init and updated once CPU topology changes are being detected (through arch_update_cpu_topology). As such, any changes to identified CPU capacities (like initializing cpufreq) need to be explicitly advertised by corresponding archs to trigger rebuilding the data. Additional -dflags- parameter, used when building sched domains, has been removed as well, as the asymmetry flags are now being set directly in sd_init. Suggested-by: Peter Zijlstra <peterz@infradead.org> Suggested-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Beata Michalska <beata.michalska@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Valentin Schneider <valentin.schneider@arm.com> Reviewed-by: Dietmar Eggemann <dietmar.eggemann@arm.com> Tested-by: Valentin Schneider <valentin.schneider@arm.com> Link: https://lore.kernel.org/r/20210603140627.8409-3-beata.michalska@arm.com
2021-06-03 14:06:26 +00:00
sd = lowest_flag_domain(cpu, SD_ASYM_CPUCAPACITY_FULL);
sched/topology: Add lowest CPU asymmetry sched_domain level pointer Add another member to the family of per-cpu sched_domain shortcut pointers. This one, sd_asym_cpucapacity, points to the lowest level at which the SD_ASYM_CPUCAPACITY flag is set. While at it, rename the sd_asym shortcut to sd_asym_packing to avoid confusions. Generally speaking, the largest opportunity to save energy via scheduling comes from a smarter exploitation of heterogeneous platforms (i.e. big.LITTLE). Consequently, the sd_asym_cpucapacity shortcut will be used at first as the lowest domain where Energy-Aware Scheduling (EAS) should be applied. For example, it is possible to apply EAS within a socket on a multi-socket system, as long as each socket has an asymmetric topology. Energy-aware cross-sockets wake-up balancing will only happen when the system is over-utilized, or this_cpu and prev_cpu are in different sockets. Suggested-by: Morten Rasmussen <morten.rasmussen@arm.com> Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: rjw@rjwysocki.net Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-7-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:19 +00:00
rcu_assign_pointer(per_cpu(sd_asym_cpucapacity, cpu), sd);
}
/*
* Attach the domain 'sd' to 'cpu' as its base domain. Callers must
* hold the hotplug lock.
*/
static void
cpu_attach_domain(struct sched_domain *sd, struct root_domain *rd, int cpu)
{
struct rq *rq = cpu_rq(cpu);
struct sched_domain *tmp;
/* Remove the sched domains which do not contribute to scheduling. */
for (tmp = sd; tmp; ) {
struct sched_domain *parent = tmp->parent;
if (!parent)
break;
if (sd_parent_degenerate(tmp, parent)) {
tmp->parent = parent->parent;
if (parent->parent) {
parent->parent->child = tmp;
parent->parent->groups->flags = tmp->flags;
}
/*
* Transfer SD_PREFER_SIBLING down in case of a
* degenerate parent; the spans match for this
* so the property transfers.
*/
if (parent->flags & SD_PREFER_SIBLING)
tmp->flags |= SD_PREFER_SIBLING;
destroy_sched_domain(parent);
} else
tmp = tmp->parent;
}
if (sd && sd_degenerate(sd)) {
tmp = sd;
sd = sd->parent;
destroy_sched_domain(tmp);
if (sd) {
struct sched_group *sg = sd->groups;
/*
* sched groups hold the flags of the child sched
* domain for convenience. Clear such flags since
* the child is being destroyed.
*/
do {
sg->flags = 0;
} while (sg != sd->groups);
sd->child = NULL;
}
}
sched_domain_debug(sd, cpu);
rq_attach_root(rq, rd);
tmp = rq->sd;
rcu_assign_pointer(rq->sd, sd);
dirty_sched_domain_sysctl(cpu);
destroy_sched_domains(tmp);
update_top_cache_domain(cpu);
}
struct s_data {
struct sched_domain * __percpu *sd;
struct root_domain *rd;
};
enum s_alloc {
sa_rootdomain,
sa_sd,
sa_sd_storage,
sa_none,
};
/*
* Return the canonical balance CPU for this group, this is the first CPU
* of this group that's also in the balance mask.
*
* The balance mask are all those CPUs that could actually end up at this
* group. See build_balance_mask().
*
* Also see should_we_balance().
*/
int group_balance_cpu(struct sched_group *sg)
{
return cpumask_first(group_balance_mask(sg));
}
/*
* NUMA topology (first read the regular topology blurb below)
*
* Given a node-distance table, for example:
*
* node 0 1 2 3
* 0: 10 20 30 20
* 1: 20 10 20 30
* 2: 30 20 10 20
* 3: 20 30 20 10
*
* which represents a 4 node ring topology like:
*
* 0 ----- 1
* | |
* | |
* | |
* 3 ----- 2
*
* We want to construct domains and groups to represent this. The way we go
* about doing this is to build the domains on 'hops'. For each NUMA level we
* construct the mask of all nodes reachable in @level hops.
*
* For the above NUMA topology that gives 3 levels:
*
* NUMA-2 0-3 0-3 0-3 0-3
* groups: {0-1,3},{1-3} {0-2},{0,2-3} {1-3},{0-1,3} {0,2-3},{0-2}
*
* NUMA-1 0-1,3 0-2 1-3 0,2-3
* groups: {0},{1},{3} {0},{1},{2} {1},{2},{3} {0},{2},{3}
*
* NUMA-0 0 1 2 3
*
*
* As can be seen; things don't nicely line up as with the regular topology.
* When we iterate a domain in child domain chunks some nodes can be
* represented multiple times -- hence the "overlap" naming for this part of
* the topology.
*
* In order to minimize this overlap, we only build enough groups to cover the
* domain. For instance Node-0 NUMA-2 would only get groups: 0-1,3 and 1-3.
*
* Because:
*
* - the first group of each domain is its child domain; this
* gets us the first 0-1,3
* - the only uncovered node is 2, who's child domain is 1-3.
*
* However, because of the overlap, computing a unique CPU for each group is
* more complicated. Consider for instance the groups of NODE-1 NUMA-2, both
* groups include the CPUs of Node-0, while those CPUs would not in fact ever
* end up at those groups (they would end up in group: 0-1,3).
*
* To correct this we have to introduce the group balance mask. This mask
* will contain those CPUs in the group that can reach this group given the
* (child) domain tree.
*
* With this we can once again compute balance_cpu and sched_group_capacity
* relations.
*
* XXX include words on how balance_cpu is unique and therefore can be
* used for sched_group_capacity links.
*
*
* Another 'interesting' topology is:
*
* node 0 1 2 3
* 0: 10 20 20 30
* 1: 20 10 20 20
* 2: 20 20 10 20
* 3: 30 20 20 10
*
* Which looks a little like:
*
* 0 ----- 1
* | / |
* | / |
* | / |
* 2 ----- 3
*
* This topology is asymmetric, nodes 1,2 are fully connected, but nodes 0,3
* are not.
*
* This leads to a few particularly weird cases where the sched_domain's are
* not of the same number for each CPU. Consider:
*
* NUMA-2 0-3 0-3
* groups: {0-2},{1-3} {1-3},{0-2}
*
* NUMA-1 0-2 0-3 0-3 1-3
*
* NUMA-0 0 1 2 3
*
*/
/*
* Build the balance mask; it contains only those CPUs that can arrive at this
* group and should be considered to continue balancing.
*
* We do this during the group creation pass, therefore the group information
* isn't complete yet, however since each group represents a (child) domain we
* can fully construct this using the sched_domain bits (which are already
* complete).
*/
sched/topology: Fix overlapping sched_group_capacity When building the overlapping groups we need to attach a consistent sched_group_capacity structure. That is, all 'identical' sched_group's should have the _same_ sched_group_capacity. This can (once again) be demonstrated with a topology like: node 0 1 2 3 0: 10 20 30 20 1: 20 10 20 30 2: 30 20 10 20 3: 20 30 20 10 But we need at least 2 CPUs per node for this to show up, after all, if there is only one CPU per node, our CPU @i is per definition a unique CPU that reaches this domain (aka balance-cpu). Given the above NUMA topo and 2 CPUs per node: [] CPU0 attaching sched-domain(s): [] domain-0: span=0,4 level=DIE [] groups: 0:{ span=0 }, 4:{ span=4 } [] domain-1: span=0-1,3-5,7 level=NUMA [] groups: 0:{ span=0,4 mask=0,4 cap=2048 }, 1:{ span=1,5 mask=1,5 cap=2048 }, 3:{ span=3,7 mask=3,7 cap=2048 } [] domain-2: span=0-7 level=NUMA [] groups: 0:{ span=0-1,3-5,7 mask=0,4 cap=6144 }, 2:{ span=1-3,5-7 mask=2,6 cap=6144 } [] CPU1 attaching sched-domain(s): [] domain-0: span=1,5 level=DIE [] groups: 1:{ span=1 }, 5:{ span=5 } [] domain-1: span=0-2,4-6 level=NUMA [] groups: 1:{ span=1,5 mask=1,5 cap=2048 }, 2:{ span=2,6 mask=2,6 cap=2048 }, 4:{ span=0,4 mask=0,4 cap=2048 } [] domain-2: span=0-7 level=NUMA [] groups: 1:{ span=0-2,4-6 mask=1,5 cap=6144 }, 3:{ span=0,2-4,6-7 mask=3,7 cap=6144 } Observe how CPU0-domain1-group0 and CPU1-domain1-group4 are the 'same' but have a different id (0 vs 4). To fix this, use the group balance CPU to select the SGC. This means we have to compute the full mask for each CPU and require a second temporary mask to store the group mask in (it otherwise lives in the SGC). The fixed topology looks like: [] CPU0 attaching sched-domain(s): [] domain-0: span=0,4 level=DIE [] groups: 0:{ span=0 }, 4:{ span=4 } [] domain-1: span=0-1,3-5,7 level=NUMA [] groups: 0:{ span=0,4 mask=0,4 cap=2048 }, 1:{ span=1,5 mask=1,5 cap=2048 }, 3:{ span=3,7 mask=3,7 cap=2048 } [] domain-2: span=0-7 level=NUMA [] groups: 0:{ span=0-1,3-5,7 mask=0,4 cap=6144 }, 2:{ span=1-3,5-7 mask=2,6 cap=6144 } [] CPU1 attaching sched-domain(s): [] domain-0: span=1,5 level=DIE [] groups: 1:{ span=1 }, 5:{ span=5 } [] domain-1: span=0-2,4-6 level=NUMA [] groups: 1:{ span=1,5 mask=1,5 cap=2048 }, 2:{ span=2,6 mask=2,6 cap=2048 }, 0:{ span=0,4 mask=0,4 cap=2048 } [] domain-2: span=0-7 level=NUMA [] groups: 1:{ span=0-2,4-6 mask=1,5 cap=6144 }, 3:{ span=0,2-4,6-7 mask=3,7 cap=6144 } Debugged-by: Lauro Ramos Venancio <lvenanci@redhat.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: linux-kernel@vger.kernel.org Fixes: e3589f6c81e4 ("sched: Allow for overlapping sched_domain spans") Signed-off-by: Ingo Molnar <mingo@kernel.org>
2017-04-25 12:31:11 +00:00
static void
build_balance_mask(struct sched_domain *sd, struct sched_group *sg, struct cpumask *mask)
{
const struct cpumask *sg_span = sched_group_span(sg);
struct sd_data *sdd = sd->private;
struct sched_domain *sibling;
int i;
sched/topology: Fix overlapping sched_group_capacity When building the overlapping groups we need to attach a consistent sched_group_capacity structure. That is, all 'identical' sched_group's should have the _same_ sched_group_capacity. This can (once again) be demonstrated with a topology like: node 0 1 2 3 0: 10 20 30 20 1: 20 10 20 30 2: 30 20 10 20 3: 20 30 20 10 But we need at least 2 CPUs per node for this to show up, after all, if there is only one CPU per node, our CPU @i is per definition a unique CPU that reaches this domain (aka balance-cpu). Given the above NUMA topo and 2 CPUs per node: [] CPU0 attaching sched-domain(s): [] domain-0: span=0,4 level=DIE [] groups: 0:{ span=0 }, 4:{ span=4 } [] domain-1: span=0-1,3-5,7 level=NUMA [] groups: 0:{ span=0,4 mask=0,4 cap=2048 }, 1:{ span=1,5 mask=1,5 cap=2048 }, 3:{ span=3,7 mask=3,7 cap=2048 } [] domain-2: span=0-7 level=NUMA [] groups: 0:{ span=0-1,3-5,7 mask=0,4 cap=6144 }, 2:{ span=1-3,5-7 mask=2,6 cap=6144 } [] CPU1 attaching sched-domain(s): [] domain-0: span=1,5 level=DIE [] groups: 1:{ span=1 }, 5:{ span=5 } [] domain-1: span=0-2,4-6 level=NUMA [] groups: 1:{ span=1,5 mask=1,5 cap=2048 }, 2:{ span=2,6 mask=2,6 cap=2048 }, 4:{ span=0,4 mask=0,4 cap=2048 } [] domain-2: span=0-7 level=NUMA [] groups: 1:{ span=0-2,4-6 mask=1,5 cap=6144 }, 3:{ span=0,2-4,6-7 mask=3,7 cap=6144 } Observe how CPU0-domain1-group0 and CPU1-domain1-group4 are the 'same' but have a different id (0 vs 4). To fix this, use the group balance CPU to select the SGC. This means we have to compute the full mask for each CPU and require a second temporary mask to store the group mask in (it otherwise lives in the SGC). The fixed topology looks like: [] CPU0 attaching sched-domain(s): [] domain-0: span=0,4 level=DIE [] groups: 0:{ span=0 }, 4:{ span=4 } [] domain-1: span=0-1,3-5,7 level=NUMA [] groups: 0:{ span=0,4 mask=0,4 cap=2048 }, 1:{ span=1,5 mask=1,5 cap=2048 }, 3:{ span=3,7 mask=3,7 cap=2048 } [] domain-2: span=0-7 level=NUMA [] groups: 0:{ span=0-1,3-5,7 mask=0,4 cap=6144 }, 2:{ span=1-3,5-7 mask=2,6 cap=6144 } [] CPU1 attaching sched-domain(s): [] domain-0: span=1,5 level=DIE [] groups: 1:{ span=1 }, 5:{ span=5 } [] domain-1: span=0-2,4-6 level=NUMA [] groups: 1:{ span=1,5 mask=1,5 cap=2048 }, 2:{ span=2,6 mask=2,6 cap=2048 }, 0:{ span=0,4 mask=0,4 cap=2048 } [] domain-2: span=0-7 level=NUMA [] groups: 1:{ span=0-2,4-6 mask=1,5 cap=6144 }, 3:{ span=0,2-4,6-7 mask=3,7 cap=6144 } Debugged-by: Lauro Ramos Venancio <lvenanci@redhat.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: linux-kernel@vger.kernel.org Fixes: e3589f6c81e4 ("sched: Allow for overlapping sched_domain spans") Signed-off-by: Ingo Molnar <mingo@kernel.org>
2017-04-25 12:31:11 +00:00
cpumask_clear(mask);
for_each_cpu(i, sg_span) {
sibling = *per_cpu_ptr(sdd->sd, i);
sched/topology: Fix overlapping sched_group_mask The point of sched_group_mask is to select those CPUs from sched_group_cpus that can actually arrive at this balance domain. The current code gets it wrong, as can be readily demonstrated with a topology like: node 0 1 2 3 0: 10 20 30 20 1: 20 10 20 30 2: 30 20 10 20 3: 20 30 20 10 Where (for example) domain 1 on CPU1 ends up with a mask that includes CPU0: [] CPU1 attaching sched-domain: [] domain 0: span 0-2 level NUMA [] groups: 1 (mask: 1), 2, 0 [] domain 1: span 0-3 level NUMA [] groups: 0-2 (mask: 0-2) (cpu_capacity: 3072), 0,2-3 (cpu_capacity: 3072) This causes sched_balance_cpu() to compute the wrong CPU and consequently should_we_balance() will terminate early resulting in missed load-balance opportunities. The fixed topology looks like: [] CPU1 attaching sched-domain: [] domain 0: span 0-2 level NUMA [] groups: 1 (mask: 1), 2, 0 [] domain 1: span 0-3 level NUMA [] groups: 0-2 (mask: 1) (cpu_capacity: 3072), 0,2-3 (cpu_capacity: 3072) (note: this relies on OVERLAP domains to always have children, this is true because the regular topology domains are still here -- this is before degenerate trimming) Debugged-by: Lauro Ramos Venancio <lvenanci@redhat.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: linux-kernel@vger.kernel.org Cc: stable@vger.kernel.org Fixes: e3589f6c81e4 ("sched: Allow for overlapping sched_domain spans") Signed-off-by: Ingo Molnar <mingo@kernel.org>
2017-04-25 12:00:49 +00:00
/*
* Can happen in the asymmetric case, where these siblings are
* unused. The mask will not be empty because those CPUs that
* do have the top domain _should_ span the domain.
*/
if (!sibling->child)
continue;
/* If we would not end up here, we can't continue from here */
if (!cpumask_equal(sg_span, sched_domain_span(sibling->child)))
continue;
sched/topology: Fix overlapping sched_group_capacity When building the overlapping groups we need to attach a consistent sched_group_capacity structure. That is, all 'identical' sched_group's should have the _same_ sched_group_capacity. This can (once again) be demonstrated with a topology like: node 0 1 2 3 0: 10 20 30 20 1: 20 10 20 30 2: 30 20 10 20 3: 20 30 20 10 But we need at least 2 CPUs per node for this to show up, after all, if there is only one CPU per node, our CPU @i is per definition a unique CPU that reaches this domain (aka balance-cpu). Given the above NUMA topo and 2 CPUs per node: [] CPU0 attaching sched-domain(s): [] domain-0: span=0,4 level=DIE [] groups: 0:{ span=0 }, 4:{ span=4 } [] domain-1: span=0-1,3-5,7 level=NUMA [] groups: 0:{ span=0,4 mask=0,4 cap=2048 }, 1:{ span=1,5 mask=1,5 cap=2048 }, 3:{ span=3,7 mask=3,7 cap=2048 } [] domain-2: span=0-7 level=NUMA [] groups: 0:{ span=0-1,3-5,7 mask=0,4 cap=6144 }, 2:{ span=1-3,5-7 mask=2,6 cap=6144 } [] CPU1 attaching sched-domain(s): [] domain-0: span=1,5 level=DIE [] groups: 1:{ span=1 }, 5:{ span=5 } [] domain-1: span=0-2,4-6 level=NUMA [] groups: 1:{ span=1,5 mask=1,5 cap=2048 }, 2:{ span=2,6 mask=2,6 cap=2048 }, 4:{ span=0,4 mask=0,4 cap=2048 } [] domain-2: span=0-7 level=NUMA [] groups: 1:{ span=0-2,4-6 mask=1,5 cap=6144 }, 3:{ span=0,2-4,6-7 mask=3,7 cap=6144 } Observe how CPU0-domain1-group0 and CPU1-domain1-group4 are the 'same' but have a different id (0 vs 4). To fix this, use the group balance CPU to select the SGC. This means we have to compute the full mask for each CPU and require a second temporary mask to store the group mask in (it otherwise lives in the SGC). The fixed topology looks like: [] CPU0 attaching sched-domain(s): [] domain-0: span=0,4 level=DIE [] groups: 0:{ span=0 }, 4:{ span=4 } [] domain-1: span=0-1,3-5,7 level=NUMA [] groups: 0:{ span=0,4 mask=0,4 cap=2048 }, 1:{ span=1,5 mask=1,5 cap=2048 }, 3:{ span=3,7 mask=3,7 cap=2048 } [] domain-2: span=0-7 level=NUMA [] groups: 0:{ span=0-1,3-5,7 mask=0,4 cap=6144 }, 2:{ span=1-3,5-7 mask=2,6 cap=6144 } [] CPU1 attaching sched-domain(s): [] domain-0: span=1,5 level=DIE [] groups: 1:{ span=1 }, 5:{ span=5 } [] domain-1: span=0-2,4-6 level=NUMA [] groups: 1:{ span=1,5 mask=1,5 cap=2048 }, 2:{ span=2,6 mask=2,6 cap=2048 }, 0:{ span=0,4 mask=0,4 cap=2048 } [] domain-2: span=0-7 level=NUMA [] groups: 1:{ span=0-2,4-6 mask=1,5 cap=6144 }, 3:{ span=0,2-4,6-7 mask=3,7 cap=6144 } Debugged-by: Lauro Ramos Venancio <lvenanci@redhat.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: linux-kernel@vger.kernel.org Fixes: e3589f6c81e4 ("sched: Allow for overlapping sched_domain spans") Signed-off-by: Ingo Molnar <mingo@kernel.org>
2017-04-25 12:31:11 +00:00
cpumask_set_cpu(i, mask);
}
sched/topology: Fix overlapping sched_group_mask The point of sched_group_mask is to select those CPUs from sched_group_cpus that can actually arrive at this balance domain. The current code gets it wrong, as can be readily demonstrated with a topology like: node 0 1 2 3 0: 10 20 30 20 1: 20 10 20 30 2: 30 20 10 20 3: 20 30 20 10 Where (for example) domain 1 on CPU1 ends up with a mask that includes CPU0: [] CPU1 attaching sched-domain: [] domain 0: span 0-2 level NUMA [] groups: 1 (mask: 1), 2, 0 [] domain 1: span 0-3 level NUMA [] groups: 0-2 (mask: 0-2) (cpu_capacity: 3072), 0,2-3 (cpu_capacity: 3072) This causes sched_balance_cpu() to compute the wrong CPU and consequently should_we_balance() will terminate early resulting in missed load-balance opportunities. The fixed topology looks like: [] CPU1 attaching sched-domain: [] domain 0: span 0-2 level NUMA [] groups: 1 (mask: 1), 2, 0 [] domain 1: span 0-3 level NUMA [] groups: 0-2 (mask: 1) (cpu_capacity: 3072), 0,2-3 (cpu_capacity: 3072) (note: this relies on OVERLAP domains to always have children, this is true because the regular topology domains are still here -- this is before degenerate trimming) Debugged-by: Lauro Ramos Venancio <lvenanci@redhat.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: linux-kernel@vger.kernel.org Cc: stable@vger.kernel.org Fixes: e3589f6c81e4 ("sched: Allow for overlapping sched_domain spans") Signed-off-by: Ingo Molnar <mingo@kernel.org>
2017-04-25 12:00:49 +00:00
/* We must not have empty masks here */
sched/topology: Fix overlapping sched_group_capacity When building the overlapping groups we need to attach a consistent sched_group_capacity structure. That is, all 'identical' sched_group's should have the _same_ sched_group_capacity. This can (once again) be demonstrated with a topology like: node 0 1 2 3 0: 10 20 30 20 1: 20 10 20 30 2: 30 20 10 20 3: 20 30 20 10 But we need at least 2 CPUs per node for this to show up, after all, if there is only one CPU per node, our CPU @i is per definition a unique CPU that reaches this domain (aka balance-cpu). Given the above NUMA topo and 2 CPUs per node: [] CPU0 attaching sched-domain(s): [] domain-0: span=0,4 level=DIE [] groups: 0:{ span=0 }, 4:{ span=4 } [] domain-1: span=0-1,3-5,7 level=NUMA [] groups: 0:{ span=0,4 mask=0,4 cap=2048 }, 1:{ span=1,5 mask=1,5 cap=2048 }, 3:{ span=3,7 mask=3,7 cap=2048 } [] domain-2: span=0-7 level=NUMA [] groups: 0:{ span=0-1,3-5,7 mask=0,4 cap=6144 }, 2:{ span=1-3,5-7 mask=2,6 cap=6144 } [] CPU1 attaching sched-domain(s): [] domain-0: span=1,5 level=DIE [] groups: 1:{ span=1 }, 5:{ span=5 } [] domain-1: span=0-2,4-6 level=NUMA [] groups: 1:{ span=1,5 mask=1,5 cap=2048 }, 2:{ span=2,6 mask=2,6 cap=2048 }, 4:{ span=0,4 mask=0,4 cap=2048 } [] domain-2: span=0-7 level=NUMA [] groups: 1:{ span=0-2,4-6 mask=1,5 cap=6144 }, 3:{ span=0,2-4,6-7 mask=3,7 cap=6144 } Observe how CPU0-domain1-group0 and CPU1-domain1-group4 are the 'same' but have a different id (0 vs 4). To fix this, use the group balance CPU to select the SGC. This means we have to compute the full mask for each CPU and require a second temporary mask to store the group mask in (it otherwise lives in the SGC). The fixed topology looks like: [] CPU0 attaching sched-domain(s): [] domain-0: span=0,4 level=DIE [] groups: 0:{ span=0 }, 4:{ span=4 } [] domain-1: span=0-1,3-5,7 level=NUMA [] groups: 0:{ span=0,4 mask=0,4 cap=2048 }, 1:{ span=1,5 mask=1,5 cap=2048 }, 3:{ span=3,7 mask=3,7 cap=2048 } [] domain-2: span=0-7 level=NUMA [] groups: 0:{ span=0-1,3-5,7 mask=0,4 cap=6144 }, 2:{ span=1-3,5-7 mask=2,6 cap=6144 } [] CPU1 attaching sched-domain(s): [] domain-0: span=1,5 level=DIE [] groups: 1:{ span=1 }, 5:{ span=5 } [] domain-1: span=0-2,4-6 level=NUMA [] groups: 1:{ span=1,5 mask=1,5 cap=2048 }, 2:{ span=2,6 mask=2,6 cap=2048 }, 0:{ span=0,4 mask=0,4 cap=2048 } [] domain-2: span=0-7 level=NUMA [] groups: 1:{ span=0-2,4-6 mask=1,5 cap=6144 }, 3:{ span=0,2-4,6-7 mask=3,7 cap=6144 } Debugged-by: Lauro Ramos Venancio <lvenanci@redhat.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: linux-kernel@vger.kernel.org Fixes: e3589f6c81e4 ("sched: Allow for overlapping sched_domain spans") Signed-off-by: Ingo Molnar <mingo@kernel.org>
2017-04-25 12:31:11 +00:00
WARN_ON_ONCE(cpumask_empty(mask));
}
/*
* XXX: This creates per-node group entries; since the load-balancer will
* immediately access remote memory to construct this group's load-balance
* statistics having the groups node local is of dubious benefit.
*/
static struct sched_group *
build_group_from_child_sched_domain(struct sched_domain *sd, int cpu)
{
struct sched_group *sg;
struct cpumask *sg_span;
sg = kzalloc_node(sizeof(struct sched_group) + cpumask_size(),
GFP_KERNEL, cpu_to_node(cpu));
if (!sg)
return NULL;
sg_span = sched_group_span(sg);
if (sd->child) {
cpumask_copy(sg_span, sched_domain_span(sd->child));
sg->flags = sd->child->flags;
} else {
cpumask_copy(sg_span, sched_domain_span(sd));
}
sched/topology: Fix memory leak in __sdt_alloc() Found this issue by kmemleak: the 'sg' and 'sgc' pointers from __sdt_alloc() might be leaked as each domain holds many groups' ref, but in destroy_sched_domain(), it only declined the first group ref. Onlining and offlining a CPU can trigger this leak, and cause OOM. Reproducer for my 6 CPUs machine: while true do echo 0 > /sys/devices/system/cpu/cpu5/online; echo 1 > /sys/devices/system/cpu/cpu5/online; done unreferenced object 0xffff88007d772a80 (size 64): comm "cpuhp/5", pid 39, jiffies 4294719962 (age 35.251s) hex dump (first 32 bytes): c0 22 77 7d 00 88 ff ff 02 00 00 00 01 00 00 00 ."w}............ 40 2a 77 7d 00 88 ff ff 00 00 00 00 00 00 00 00 @*w}............ backtrace: [<ffffffff8176525a>] kmemleak_alloc+0x4a/0xa0 [<ffffffff8121efe1>] __kmalloc_node+0xf1/0x280 [<ffffffff810d94a8>] build_sched_domains+0x1e8/0xf20 [<ffffffff810da674>] partition_sched_domains+0x304/0x360 [<ffffffff81139557>] cpuset_update_active_cpus+0x17/0x40 [<ffffffff810bdb2e>] sched_cpu_activate+0xae/0xc0 [<ffffffff810900e0>] cpuhp_invoke_callback+0x90/0x400 [<ffffffff81090597>] cpuhp_up_callbacks+0x37/0xb0 [<ffffffff81090887>] cpuhp_thread_fun+0xd7/0xf0 [<ffffffff810b37e0>] smpboot_thread_fn+0x110/0x160 [<ffffffff810af5d9>] kthread+0x109/0x140 [<ffffffff81770e45>] ret_from_fork+0x25/0x30 [<ffffffffffffffff>] 0xffffffffffffffff unreferenced object 0xffff88007d772a40 (size 64): comm "cpuhp/5", pid 39, jiffies 4294719962 (age 35.251s) hex dump (first 32 bytes): 03 00 00 00 00 00 00 00 00 04 00 00 00 00 00 00 ................ 00 04 00 00 00 00 00 00 4f 3c fc ff 00 00 00 00 ........O<...... backtrace: [<ffffffff8176525a>] kmemleak_alloc+0x4a/0xa0 [<ffffffff8121efe1>] __kmalloc_node+0xf1/0x280 [<ffffffff810da16d>] build_sched_domains+0xead/0xf20 [<ffffffff810da674>] partition_sched_domains+0x304/0x360 [<ffffffff81139557>] cpuset_update_active_cpus+0x17/0x40 [<ffffffff810bdb2e>] sched_cpu_activate+0xae/0xc0 [<ffffffff810900e0>] cpuhp_invoke_callback+0x90/0x400 [<ffffffff81090597>] cpuhp_up_callbacks+0x37/0xb0 [<ffffffff81090887>] cpuhp_thread_fun+0xd7/0xf0 [<ffffffff810b37e0>] smpboot_thread_fn+0x110/0x160 [<ffffffff810af5d9>] kthread+0x109/0x140 [<ffffffff81770e45>] ret_from_fork+0x25/0x30 [<ffffffffffffffff>] 0xffffffffffffffff Reported-by: Chunyu Hu <chuhu@redhat.com> Signed-off-by: Shu Wang <shuwang@redhat.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Acked-by: Chunyu Hu <chuhu@redhat.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: liwang@redhat.com Link: http://lkml.kernel.org/r/1502351536-9108-1-git-send-email-shuwang@redhat.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2017-08-10 07:52:16 +00:00
atomic_inc(&sg->ref);
return sg;
}
static void init_overlap_sched_group(struct sched_domain *sd,
sched/topology: Fix overlapping sched_group_capacity When building the overlapping groups we need to attach a consistent sched_group_capacity structure. That is, all 'identical' sched_group's should have the _same_ sched_group_capacity. This can (once again) be demonstrated with a topology like: node 0 1 2 3 0: 10 20 30 20 1: 20 10 20 30 2: 30 20 10 20 3: 20 30 20 10 But we need at least 2 CPUs per node for this to show up, after all, if there is only one CPU per node, our CPU @i is per definition a unique CPU that reaches this domain (aka balance-cpu). Given the above NUMA topo and 2 CPUs per node: [] CPU0 attaching sched-domain(s): [] domain-0: span=0,4 level=DIE [] groups: 0:{ span=0 }, 4:{ span=4 } [] domain-1: span=0-1,3-5,7 level=NUMA [] groups: 0:{ span=0,4 mask=0,4 cap=2048 }, 1:{ span=1,5 mask=1,5 cap=2048 }, 3:{ span=3,7 mask=3,7 cap=2048 } [] domain-2: span=0-7 level=NUMA [] groups: 0:{ span=0-1,3-5,7 mask=0,4 cap=6144 }, 2:{ span=1-3,5-7 mask=2,6 cap=6144 } [] CPU1 attaching sched-domain(s): [] domain-0: span=1,5 level=DIE [] groups: 1:{ span=1 }, 5:{ span=5 } [] domain-1: span=0-2,4-6 level=NUMA [] groups: 1:{ span=1,5 mask=1,5 cap=2048 }, 2:{ span=2,6 mask=2,6 cap=2048 }, 4:{ span=0,4 mask=0,4 cap=2048 } [] domain-2: span=0-7 level=NUMA [] groups: 1:{ span=0-2,4-6 mask=1,5 cap=6144 }, 3:{ span=0,2-4,6-7 mask=3,7 cap=6144 } Observe how CPU0-domain1-group0 and CPU1-domain1-group4 are the 'same' but have a different id (0 vs 4). To fix this, use the group balance CPU to select the SGC. This means we have to compute the full mask for each CPU and require a second temporary mask to store the group mask in (it otherwise lives in the SGC). The fixed topology looks like: [] CPU0 attaching sched-domain(s): [] domain-0: span=0,4 level=DIE [] groups: 0:{ span=0 }, 4:{ span=4 } [] domain-1: span=0-1,3-5,7 level=NUMA [] groups: 0:{ span=0,4 mask=0,4 cap=2048 }, 1:{ span=1,5 mask=1,5 cap=2048 }, 3:{ span=3,7 mask=3,7 cap=2048 } [] domain-2: span=0-7 level=NUMA [] groups: 0:{ span=0-1,3-5,7 mask=0,4 cap=6144 }, 2:{ span=1-3,5-7 mask=2,6 cap=6144 } [] CPU1 attaching sched-domain(s): [] domain-0: span=1,5 level=DIE [] groups: 1:{ span=1 }, 5:{ span=5 } [] domain-1: span=0-2,4-6 level=NUMA [] groups: 1:{ span=1,5 mask=1,5 cap=2048 }, 2:{ span=2,6 mask=2,6 cap=2048 }, 0:{ span=0,4 mask=0,4 cap=2048 } [] domain-2: span=0-7 level=NUMA [] groups: 1:{ span=0-2,4-6 mask=1,5 cap=6144 }, 3:{ span=0,2-4,6-7 mask=3,7 cap=6144 } Debugged-by: Lauro Ramos Venancio <lvenanci@redhat.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: linux-kernel@vger.kernel.org Fixes: e3589f6c81e4 ("sched: Allow for overlapping sched_domain spans") Signed-off-by: Ingo Molnar <mingo@kernel.org>
2017-04-25 12:31:11 +00:00
struct sched_group *sg)
{
sched/topology: Fix overlapping sched_group_capacity When building the overlapping groups we need to attach a consistent sched_group_capacity structure. That is, all 'identical' sched_group's should have the _same_ sched_group_capacity. This can (once again) be demonstrated with a topology like: node 0 1 2 3 0: 10 20 30 20 1: 20 10 20 30 2: 30 20 10 20 3: 20 30 20 10 But we need at least 2 CPUs per node for this to show up, after all, if there is only one CPU per node, our CPU @i is per definition a unique CPU that reaches this domain (aka balance-cpu). Given the above NUMA topo and 2 CPUs per node: [] CPU0 attaching sched-domain(s): [] domain-0: span=0,4 level=DIE [] groups: 0:{ span=0 }, 4:{ span=4 } [] domain-1: span=0-1,3-5,7 level=NUMA [] groups: 0:{ span=0,4 mask=0,4 cap=2048 }, 1:{ span=1,5 mask=1,5 cap=2048 }, 3:{ span=3,7 mask=3,7 cap=2048 } [] domain-2: span=0-7 level=NUMA [] groups: 0:{ span=0-1,3-5,7 mask=0,4 cap=6144 }, 2:{ span=1-3,5-7 mask=2,6 cap=6144 } [] CPU1 attaching sched-domain(s): [] domain-0: span=1,5 level=DIE [] groups: 1:{ span=1 }, 5:{ span=5 } [] domain-1: span=0-2,4-6 level=NUMA [] groups: 1:{ span=1,5 mask=1,5 cap=2048 }, 2:{ span=2,6 mask=2,6 cap=2048 }, 4:{ span=0,4 mask=0,4 cap=2048 } [] domain-2: span=0-7 level=NUMA [] groups: 1:{ span=0-2,4-6 mask=1,5 cap=6144 }, 3:{ span=0,2-4,6-7 mask=3,7 cap=6144 } Observe how CPU0-domain1-group0 and CPU1-domain1-group4 are the 'same' but have a different id (0 vs 4). To fix this, use the group balance CPU to select the SGC. This means we have to compute the full mask for each CPU and require a second temporary mask to store the group mask in (it otherwise lives in the SGC). The fixed topology looks like: [] CPU0 attaching sched-domain(s): [] domain-0: span=0,4 level=DIE [] groups: 0:{ span=0 }, 4:{ span=4 } [] domain-1: span=0-1,3-5,7 level=NUMA [] groups: 0:{ span=0,4 mask=0,4 cap=2048 }, 1:{ span=1,5 mask=1,5 cap=2048 }, 3:{ span=3,7 mask=3,7 cap=2048 } [] domain-2: span=0-7 level=NUMA [] groups: 0:{ span=0-1,3-5,7 mask=0,4 cap=6144 }, 2:{ span=1-3,5-7 mask=2,6 cap=6144 } [] CPU1 attaching sched-domain(s): [] domain-0: span=1,5 level=DIE [] groups: 1:{ span=1 }, 5:{ span=5 } [] domain-1: span=0-2,4-6 level=NUMA [] groups: 1:{ span=1,5 mask=1,5 cap=2048 }, 2:{ span=2,6 mask=2,6 cap=2048 }, 0:{ span=0,4 mask=0,4 cap=2048 } [] domain-2: span=0-7 level=NUMA [] groups: 1:{ span=0-2,4-6 mask=1,5 cap=6144 }, 3:{ span=0,2-4,6-7 mask=3,7 cap=6144 } Debugged-by: Lauro Ramos Venancio <lvenanci@redhat.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: linux-kernel@vger.kernel.org Fixes: e3589f6c81e4 ("sched: Allow for overlapping sched_domain spans") Signed-off-by: Ingo Molnar <mingo@kernel.org>
2017-04-25 12:31:11 +00:00
struct cpumask *mask = sched_domains_tmpmask2;
struct sd_data *sdd = sd->private;
struct cpumask *sg_span;
sched/topology: Fix overlapping sched_group_capacity When building the overlapping groups we need to attach a consistent sched_group_capacity structure. That is, all 'identical' sched_group's should have the _same_ sched_group_capacity. This can (once again) be demonstrated with a topology like: node 0 1 2 3 0: 10 20 30 20 1: 20 10 20 30 2: 30 20 10 20 3: 20 30 20 10 But we need at least 2 CPUs per node for this to show up, after all, if there is only one CPU per node, our CPU @i is per definition a unique CPU that reaches this domain (aka balance-cpu). Given the above NUMA topo and 2 CPUs per node: [] CPU0 attaching sched-domain(s): [] domain-0: span=0,4 level=DIE [] groups: 0:{ span=0 }, 4:{ span=4 } [] domain-1: span=0-1,3-5,7 level=NUMA [] groups: 0:{ span=0,4 mask=0,4 cap=2048 }, 1:{ span=1,5 mask=1,5 cap=2048 }, 3:{ span=3,7 mask=3,7 cap=2048 } [] domain-2: span=0-7 level=NUMA [] groups: 0:{ span=0-1,3-5,7 mask=0,4 cap=6144 }, 2:{ span=1-3,5-7 mask=2,6 cap=6144 } [] CPU1 attaching sched-domain(s): [] domain-0: span=1,5 level=DIE [] groups: 1:{ span=1 }, 5:{ span=5 } [] domain-1: span=0-2,4-6 level=NUMA [] groups: 1:{ span=1,5 mask=1,5 cap=2048 }, 2:{ span=2,6 mask=2,6 cap=2048 }, 4:{ span=0,4 mask=0,4 cap=2048 } [] domain-2: span=0-7 level=NUMA [] groups: 1:{ span=0-2,4-6 mask=1,5 cap=6144 }, 3:{ span=0,2-4,6-7 mask=3,7 cap=6144 } Observe how CPU0-domain1-group0 and CPU1-domain1-group4 are the 'same' but have a different id (0 vs 4). To fix this, use the group balance CPU to select the SGC. This means we have to compute the full mask for each CPU and require a second temporary mask to store the group mask in (it otherwise lives in the SGC). The fixed topology looks like: [] CPU0 attaching sched-domain(s): [] domain-0: span=0,4 level=DIE [] groups: 0:{ span=0 }, 4:{ span=4 } [] domain-1: span=0-1,3-5,7 level=NUMA [] groups: 0:{ span=0,4 mask=0,4 cap=2048 }, 1:{ span=1,5 mask=1,5 cap=2048 }, 3:{ span=3,7 mask=3,7 cap=2048 } [] domain-2: span=0-7 level=NUMA [] groups: 0:{ span=0-1,3-5,7 mask=0,4 cap=6144 }, 2:{ span=1-3,5-7 mask=2,6 cap=6144 } [] CPU1 attaching sched-domain(s): [] domain-0: span=1,5 level=DIE [] groups: 1:{ span=1 }, 5:{ span=5 } [] domain-1: span=0-2,4-6 level=NUMA [] groups: 1:{ span=1,5 mask=1,5 cap=2048 }, 2:{ span=2,6 mask=2,6 cap=2048 }, 0:{ span=0,4 mask=0,4 cap=2048 } [] domain-2: span=0-7 level=NUMA [] groups: 1:{ span=0-2,4-6 mask=1,5 cap=6144 }, 3:{ span=0,2-4,6-7 mask=3,7 cap=6144 } Debugged-by: Lauro Ramos Venancio <lvenanci@redhat.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: linux-kernel@vger.kernel.org Fixes: e3589f6c81e4 ("sched: Allow for overlapping sched_domain spans") Signed-off-by: Ingo Molnar <mingo@kernel.org>
2017-04-25 12:31:11 +00:00
int cpu;
build_balance_mask(sd, sg, mask);
cpu = cpumask_first(mask);
sg->sgc = *per_cpu_ptr(sdd->sgc, cpu);
if (atomic_inc_return(&sg->sgc->ref) == 1)
cpumask_copy(group_balance_mask(sg), mask);
else
WARN_ON_ONCE(!cpumask_equal(group_balance_mask(sg), mask));
/*
* Initialize sgc->capacity such that even if we mess up the
* domains and no possible iteration will get us here, we won't
* die on a /0 trap.
*/
sg_span = sched_group_span(sg);
sg->sgc->capacity = SCHED_CAPACITY_SCALE * cpumask_weight(sg_span);
sg->sgc->min_capacity = SCHED_CAPACITY_SCALE;
sg->sgc->max_capacity = SCHED_CAPACITY_SCALE;
}
sched/topology: fix the issue groups don't span domain->span for NUMA diameter > 2 As long as NUMA diameter > 2, building sched_domain by sibling's child domain will definitely create a sched_domain with sched_group which will span out of the sched_domain: +------+ +------+ +-------+ +------+ | node | 12 |node | 20 | node | 12 |node | | 0 +---------+1 +--------+ 2 +-------+3 | +------+ +------+ +-------+ +------+ domain0 node0 node1 node2 node3 domain1 node0+1 node0+1 node2+3 node2+3 + domain2 node0+1+2 | group: node0+1 | group:node2+3 <-------------------+ when node2 is added into the domain2 of node0, kernel is using the child domain of node2's domain2, which is domain1(node2+3). Node 3 is outside the span of the domain including node0+1+2. This will make load_balance() run based on screwed avg_load and group_type in the sched_group spanning out of the sched_domain, and it also makes select_task_rq_fair() pick an idle CPU outside the sched_domain. Real servers which suffer from this problem include Kunpeng920 and 8-node Sun Fire X4600-M2, at least. Here we move to use the *child* domain of the *child* domain of node2's domain2 as the new added sched_group. At the same, we re-use the lower level sgc directly. +------+ +------+ +-------+ +------+ | node | 12 |node | 20 | node | 12 |node | | 0 +---------+1 +--------+ 2 +-------+3 | +------+ +------+ +-------+ +------+ domain0 node0 node1 +- node2 node3 | domain1 node0+1 node0+1 | node2+3 node2+3 | domain2 node0+1+2 | group: node0+1 | group:node2 <-------------------+ While the lower level sgc is re-used, this patch only changes the remote sched_groups for those sched_domains playing grandchild trick, therefore, sgc->next_update is still safe since it's only touched by CPUs that have the group span as local group. And sgc->imbalance is also safe because sd_parent remains the same in load_balance and LB only tries other CPUs from the local group. Moreover, since local groups are not touched, they are still getting roughly equal size in a TL. And should_we_balance() only matters with local groups, so the pull probability of those groups are still roughly equal. Tested by the below topology: qemu-system-aarch64 -M virt -nographic \ -smp cpus=8 \ -numa node,cpus=0-1,nodeid=0 \ -numa node,cpus=2-3,nodeid=1 \ -numa node,cpus=4-5,nodeid=2 \ -numa node,cpus=6-7,nodeid=3 \ -numa dist,src=0,dst=1,val=12 \ -numa dist,src=0,dst=2,val=20 \ -numa dist,src=0,dst=3,val=22 \ -numa dist,src=1,dst=2,val=22 \ -numa dist,src=2,dst=3,val=12 \ -numa dist,src=1,dst=3,val=24 \ -m 4G -cpu cortex-a57 -kernel arch/arm64/boot/Image w/o patch, we get lots of "groups don't span domain->span": [ 0.802139] CPU0 attaching sched-domain(s): [ 0.802193] domain-0: span=0-1 level=MC [ 0.802443] groups: 0:{ span=0 cap=1013 }, 1:{ span=1 cap=979 } [ 0.802693] domain-1: span=0-3 level=NUMA [ 0.802731] groups: 0:{ span=0-1 cap=1992 }, 2:{ span=2-3 cap=1943 } [ 0.802811] domain-2: span=0-5 level=NUMA [ 0.802829] groups: 0:{ span=0-3 cap=3935 }, 4:{ span=4-7 cap=3937 } [ 0.802881] ERROR: groups don't span domain->span [ 0.803058] domain-3: span=0-7 level=NUMA [ 0.803080] groups: 0:{ span=0-5 mask=0-1 cap=5843 }, 6:{ span=4-7 mask=6-7 cap=4077 } [ 0.804055] CPU1 attaching sched-domain(s): [ 0.804072] domain-0: span=0-1 level=MC [ 0.804096] groups: 1:{ span=1 cap=979 }, 0:{ span=0 cap=1013 } [ 0.804152] domain-1: span=0-3 level=NUMA [ 0.804170] groups: 0:{ span=0-1 cap=1992 }, 2:{ span=2-3 cap=1943 } [ 0.804219] domain-2: span=0-5 level=NUMA [ 0.804236] groups: 0:{ span=0-3 cap=3935 }, 4:{ span=4-7 cap=3937 } [ 0.804302] ERROR: groups don't span domain->span [ 0.804520] domain-3: span=0-7 level=NUMA [ 0.804546] groups: 0:{ span=0-5 mask=0-1 cap=5843 }, 6:{ span=4-7 mask=6-7 cap=4077 } [ 0.804677] CPU2 attaching sched-domain(s): [ 0.804687] domain-0: span=2-3 level=MC [ 0.804705] groups: 2:{ span=2 cap=934 }, 3:{ span=3 cap=1009 } [ 0.804754] domain-1: span=0-3 level=NUMA [ 0.804772] groups: 2:{ span=2-3 cap=1943 }, 0:{ span=0-1 cap=1992 } [ 0.804820] domain-2: span=0-5 level=NUMA [ 0.804836] groups: 2:{ span=0-3 mask=2-3 cap=3991 }, 4:{ span=0-1,4-7 mask=4-5 cap=5985 } [ 0.804944] ERROR: groups don't span domain->span [ 0.805108] domain-3: span=0-7 level=NUMA [ 0.805134] groups: 2:{ span=0-5 mask=2-3 cap=5899 }, 6:{ span=0-1,4-7 mask=6-7 cap=6125 } [ 0.805223] CPU3 attaching sched-domain(s): [ 0.805232] domain-0: span=2-3 level=MC [ 0.805249] groups: 3:{ span=3 cap=1009 }, 2:{ span=2 cap=934 } [ 0.805319] domain-1: span=0-3 level=NUMA [ 0.805336] groups: 2:{ span=2-3 cap=1943 }, 0:{ span=0-1 cap=1992 } [ 0.805383] domain-2: span=0-5 level=NUMA [ 0.805399] groups: 2:{ span=0-3 mask=2-3 cap=3991 }, 4:{ span=0-1,4-7 mask=4-5 cap=5985 } [ 0.805458] ERROR: groups don't span domain->span [ 0.805605] domain-3: span=0-7 level=NUMA [ 0.805626] groups: 2:{ span=0-5 mask=2-3 cap=5899 }, 6:{ span=0-1,4-7 mask=6-7 cap=6125 } [ 0.805712] CPU4 attaching sched-domain(s): [ 0.805721] domain-0: span=4-5 level=MC [ 0.805738] groups: 4:{ span=4 cap=984 }, 5:{ span=5 cap=924 } [ 0.805787] domain-1: span=4-7 level=NUMA [ 0.805803] groups: 4:{ span=4-5 cap=1908 }, 6:{ span=6-7 cap=2029 } [ 0.805851] domain-2: span=0-1,4-7 level=NUMA [ 0.805867] groups: 4:{ span=4-7 cap=3937 }, 0:{ span=0-3 cap=3935 } [ 0.805915] ERROR: groups don't span domain->span [ 0.806108] domain-3: span=0-7 level=NUMA [ 0.806130] groups: 4:{ span=0-1,4-7 mask=4-5 cap=5985 }, 2:{ span=0-3 mask=2-3 cap=3991 } [ 0.806214] CPU5 attaching sched-domain(s): [ 0.806222] domain-0: span=4-5 level=MC [ 0.806240] groups: 5:{ span=5 cap=924 }, 4:{ span=4 cap=984 } [ 0.806841] domain-1: span=4-7 level=NUMA [ 0.806866] groups: 4:{ span=4-5 cap=1908 }, 6:{ span=6-7 cap=2029 } [ 0.806934] domain-2: span=0-1,4-7 level=NUMA [ 0.806953] groups: 4:{ span=4-7 cap=3937 }, 0:{ span=0-3 cap=3935 } [ 0.807004] ERROR: groups don't span domain->span [ 0.807312] domain-3: span=0-7 level=NUMA [ 0.807386] groups: 4:{ span=0-1,4-7 mask=4-5 cap=5985 }, 2:{ span=0-3 mask=2-3 cap=3991 } [ 0.807686] CPU6 attaching sched-domain(s): [ 0.807710] domain-0: span=6-7 level=MC [ 0.807750] groups: 6:{ span=6 cap=1017 }, 7:{ span=7 cap=1012 } [ 0.807840] domain-1: span=4-7 level=NUMA [ 0.807870] groups: 6:{ span=6-7 cap=2029 }, 4:{ span=4-5 cap=1908 } [ 0.807952] domain-2: span=0-1,4-7 level=NUMA [ 0.807985] groups: 6:{ span=4-7 mask=6-7 cap=4077 }, 0:{ span=0-5 mask=0-1 cap=5843 } [ 0.808045] ERROR: groups don't span domain->span [ 0.808257] domain-3: span=0-7 level=NUMA [ 0.808571] groups: 6:{ span=0-1,4-7 mask=6-7 cap=6125 }, 2:{ span=0-5 mask=2-3 cap=5899 } [ 0.808848] CPU7 attaching sched-domain(s): [ 0.808860] domain-0: span=6-7 level=MC [ 0.808880] groups: 7:{ span=7 cap=1012 }, 6:{ span=6 cap=1017 } [ 0.808953] domain-1: span=4-7 level=NUMA [ 0.808974] groups: 6:{ span=6-7 cap=2029 }, 4:{ span=4-5 cap=1908 } [ 0.809034] domain-2: span=0-1,4-7 level=NUMA [ 0.809055] groups: 6:{ span=4-7 mask=6-7 cap=4077 }, 0:{ span=0-5 mask=0-1 cap=5843 } [ 0.809128] ERROR: groups don't span domain->span [ 0.810361] domain-3: span=0-7 level=NUMA [ 0.810400] groups: 6:{ span=0-1,4-7 mask=6-7 cap=5961 }, 2:{ span=0-5 mask=2-3 cap=5903 } w/ patch, we don't get "groups don't span domain->span" any more: [ 1.486271] CPU0 attaching sched-domain(s): [ 1.486820] domain-0: span=0-1 level=MC [ 1.500924] groups: 0:{ span=0 cap=980 }, 1:{ span=1 cap=994 } [ 1.515717] domain-1: span=0-3 level=NUMA [ 1.515903] groups: 0:{ span=0-1 cap=1974 }, 2:{ span=2-3 cap=1989 } [ 1.516989] domain-2: span=0-5 level=NUMA [ 1.517124] groups: 0:{ span=0-3 cap=3963 }, 4:{ span=4-5 cap=1949 } [ 1.517369] domain-3: span=0-7 level=NUMA [ 1.517423] groups: 0:{ span=0-5 mask=0-1 cap=5912 }, 6:{ span=4-7 mask=6-7 cap=4054 } [ 1.520027] CPU1 attaching sched-domain(s): [ 1.520097] domain-0: span=0-1 level=MC [ 1.520184] groups: 1:{ span=1 cap=994 }, 0:{ span=0 cap=980 } [ 1.520429] domain-1: span=0-3 level=NUMA [ 1.520487] groups: 0:{ span=0-1 cap=1974 }, 2:{ span=2-3 cap=1989 } [ 1.520687] domain-2: span=0-5 level=NUMA [ 1.520744] groups: 0:{ span=0-3 cap=3963 }, 4:{ span=4-5 cap=1949 } [ 1.520948] domain-3: span=0-7 level=NUMA [ 1.521038] groups: 0:{ span=0-5 mask=0-1 cap=5912 }, 6:{ span=4-7 mask=6-7 cap=4054 } [ 1.522068] CPU2 attaching sched-domain(s): [ 1.522348] domain-0: span=2-3 level=MC [ 1.522606] groups: 2:{ span=2 cap=1003 }, 3:{ span=3 cap=986 } [ 1.522832] domain-1: span=0-3 level=NUMA [ 1.522885] groups: 2:{ span=2-3 cap=1989 }, 0:{ span=0-1 cap=1974 } [ 1.523043] domain-2: span=0-5 level=NUMA [ 1.523092] groups: 2:{ span=0-3 mask=2-3 cap=4037 }, 4:{ span=4-5 cap=1949 } [ 1.523302] domain-3: span=0-7 level=NUMA [ 1.523352] groups: 2:{ span=0-5 mask=2-3 cap=5986 }, 6:{ span=0-1,4-7 mask=6-7 cap=6102 } [ 1.523748] CPU3 attaching sched-domain(s): [ 1.523774] domain-0: span=2-3 level=MC [ 1.523825] groups: 3:{ span=3 cap=986 }, 2:{ span=2 cap=1003 } [ 1.524009] domain-1: span=0-3 level=NUMA [ 1.524086] groups: 2:{ span=2-3 cap=1989 }, 0:{ span=0-1 cap=1974 } [ 1.524281] domain-2: span=0-5 level=NUMA [ 1.524331] groups: 2:{ span=0-3 mask=2-3 cap=4037 }, 4:{ span=4-5 cap=1949 } [ 1.524534] domain-3: span=0-7 level=NUMA [ 1.524586] groups: 2:{ span=0-5 mask=2-3 cap=5986 }, 6:{ span=0-1,4-7 mask=6-7 cap=6102 } [ 1.524847] CPU4 attaching sched-domain(s): [ 1.524873] domain-0: span=4-5 level=MC [ 1.524954] groups: 4:{ span=4 cap=958 }, 5:{ span=5 cap=991 } [ 1.525105] domain-1: span=4-7 level=NUMA [ 1.525153] groups: 4:{ span=4-5 cap=1949 }, 6:{ span=6-7 cap=2006 } [ 1.525368] domain-2: span=0-1,4-7 level=NUMA [ 1.525428] groups: 4:{ span=4-7 cap=3955 }, 0:{ span=0-1 cap=1974 } [ 1.532726] domain-3: span=0-7 level=NUMA [ 1.532811] groups: 4:{ span=0-1,4-7 mask=4-5 cap=6003 }, 2:{ span=0-3 mask=2-3 cap=4037 } [ 1.534125] CPU5 attaching sched-domain(s): [ 1.534159] domain-0: span=4-5 level=MC [ 1.534303] groups: 5:{ span=5 cap=991 }, 4:{ span=4 cap=958 } [ 1.534490] domain-1: span=4-7 level=NUMA [ 1.534572] groups: 4:{ span=4-5 cap=1949 }, 6:{ span=6-7 cap=2006 } [ 1.534734] domain-2: span=0-1,4-7 level=NUMA [ 1.534783] groups: 4:{ span=4-7 cap=3955 }, 0:{ span=0-1 cap=1974 } [ 1.536057] domain-3: span=0-7 level=NUMA [ 1.536430] groups: 4:{ span=0-1,4-7 mask=4-5 cap=6003 }, 2:{ span=0-3 mask=2-3 cap=3896 } [ 1.536815] CPU6 attaching sched-domain(s): [ 1.536846] domain-0: span=6-7 level=MC [ 1.536934] groups: 6:{ span=6 cap=1005 }, 7:{ span=7 cap=1001 } [ 1.537144] domain-1: span=4-7 level=NUMA [ 1.537262] groups: 6:{ span=6-7 cap=2006 }, 4:{ span=4-5 cap=1949 } [ 1.537553] domain-2: span=0-1,4-7 level=NUMA [ 1.537613] groups: 6:{ span=4-7 mask=6-7 cap=4054 }, 0:{ span=0-1 cap=1805 } [ 1.537872] domain-3: span=0-7 level=NUMA [ 1.537998] groups: 6:{ span=0-1,4-7 mask=6-7 cap=6102 }, 2:{ span=0-5 mask=2-3 cap=5845 } [ 1.538448] CPU7 attaching sched-domain(s): [ 1.538505] domain-0: span=6-7 level=MC [ 1.538586] groups: 7:{ span=7 cap=1001 }, 6:{ span=6 cap=1005 } [ 1.538746] domain-1: span=4-7 level=NUMA [ 1.538798] groups: 6:{ span=6-7 cap=2006 }, 4:{ span=4-5 cap=1949 } [ 1.539048] domain-2: span=0-1,4-7 level=NUMA [ 1.539111] groups: 6:{ span=4-7 mask=6-7 cap=4054 }, 0:{ span=0-1 cap=1805 } [ 1.539571] domain-3: span=0-7 level=NUMA [ 1.539610] groups: 6:{ span=0-1,4-7 mask=6-7 cap=6102 }, 2:{ span=0-5 mask=2-3 cap=5845 } Signed-off-by: Barry Song <song.bao.hua@hisilicon.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Reviewed-by: Valentin Schneider <valentin.schneider@arm.com> Tested-by: Meelis Roos <mroos@linux.ee> Link: https://lkml.kernel.org/r/20210224030944.15232-1-song.bao.hua@hisilicon.com
2021-02-24 03:09:44 +00:00
static struct sched_domain *
find_descended_sibling(struct sched_domain *sd, struct sched_domain *sibling)
{
/*
* The proper descendant would be the one whose child won't span out
* of sd
*/
while (sibling->child &&
!cpumask_subset(sched_domain_span(sibling->child),
sched_domain_span(sd)))
sibling = sibling->child;
/*
* As we are referencing sgc across different topology level, we need
* to go down to skip those sched_domains which don't contribute to
* scheduling because they will be degenerated in cpu_attach_domain
*/
while (sibling->child &&
cpumask_equal(sched_domain_span(sibling->child),
sched_domain_span(sibling)))
sibling = sibling->child;
return sibling;
}
static int
build_overlap_sched_groups(struct sched_domain *sd, int cpu)
{
struct sched_group *first = NULL, *last = NULL, *sg;
const struct cpumask *span = sched_domain_span(sd);
struct cpumask *covered = sched_domains_tmpmask;
struct sd_data *sdd = sd->private;
struct sched_domain *sibling;
int i;
cpumask_clear(covered);
for_each_cpu_wrap(i, span, cpu) {
struct cpumask *sg_span;
if (cpumask_test_cpu(i, covered))
continue;
sibling = *per_cpu_ptr(sdd->sd, i);
/*
* Asymmetric node setups can result in situations where the
* domain tree is of unequal depth, make sure to skip domains
* that already cover the entire range.
*
* In that case build_sched_domains() will have terminated the
* iteration early and our sibling sd spans will be empty.
* Domains should always include the CPU they're built on, so
* check that.
*/
if (!cpumask_test_cpu(i, sched_domain_span(sibling)))
continue;
sched/topology: fix the issue groups don't span domain->span for NUMA diameter > 2 As long as NUMA diameter > 2, building sched_domain by sibling's child domain will definitely create a sched_domain with sched_group which will span out of the sched_domain: +------+ +------+ +-------+ +------+ | node | 12 |node | 20 | node | 12 |node | | 0 +---------+1 +--------+ 2 +-------+3 | +------+ +------+ +-------+ +------+ domain0 node0 node1 node2 node3 domain1 node0+1 node0+1 node2+3 node2+3 + domain2 node0+1+2 | group: node0+1 | group:node2+3 <-------------------+ when node2 is added into the domain2 of node0, kernel is using the child domain of node2's domain2, which is domain1(node2+3). Node 3 is outside the span of the domain including node0+1+2. This will make load_balance() run based on screwed avg_load and group_type in the sched_group spanning out of the sched_domain, and it also makes select_task_rq_fair() pick an idle CPU outside the sched_domain. Real servers which suffer from this problem include Kunpeng920 and 8-node Sun Fire X4600-M2, at least. Here we move to use the *child* domain of the *child* domain of node2's domain2 as the new added sched_group. At the same, we re-use the lower level sgc directly. +------+ +------+ +-------+ +------+ | node | 12 |node | 20 | node | 12 |node | | 0 +---------+1 +--------+ 2 +-------+3 | +------+ +------+ +-------+ +------+ domain0 node0 node1 +- node2 node3 | domain1 node0+1 node0+1 | node2+3 node2+3 | domain2 node0+1+2 | group: node0+1 | group:node2 <-------------------+ While the lower level sgc is re-used, this patch only changes the remote sched_groups for those sched_domains playing grandchild trick, therefore, sgc->next_update is still safe since it's only touched by CPUs that have the group span as local group. And sgc->imbalance is also safe because sd_parent remains the same in load_balance and LB only tries other CPUs from the local group. Moreover, since local groups are not touched, they are still getting roughly equal size in a TL. And should_we_balance() only matters with local groups, so the pull probability of those groups are still roughly equal. Tested by the below topology: qemu-system-aarch64 -M virt -nographic \ -smp cpus=8 \ -numa node,cpus=0-1,nodeid=0 \ -numa node,cpus=2-3,nodeid=1 \ -numa node,cpus=4-5,nodeid=2 \ -numa node,cpus=6-7,nodeid=3 \ -numa dist,src=0,dst=1,val=12 \ -numa dist,src=0,dst=2,val=20 \ -numa dist,src=0,dst=3,val=22 \ -numa dist,src=1,dst=2,val=22 \ -numa dist,src=2,dst=3,val=12 \ -numa dist,src=1,dst=3,val=24 \ -m 4G -cpu cortex-a57 -kernel arch/arm64/boot/Image w/o patch, we get lots of "groups don't span domain->span": [ 0.802139] CPU0 attaching sched-domain(s): [ 0.802193] domain-0: span=0-1 level=MC [ 0.802443] groups: 0:{ span=0 cap=1013 }, 1:{ span=1 cap=979 } [ 0.802693] domain-1: span=0-3 level=NUMA [ 0.802731] groups: 0:{ span=0-1 cap=1992 }, 2:{ span=2-3 cap=1943 } [ 0.802811] domain-2: span=0-5 level=NUMA [ 0.802829] groups: 0:{ span=0-3 cap=3935 }, 4:{ span=4-7 cap=3937 } [ 0.802881] ERROR: groups don't span domain->span [ 0.803058] domain-3: span=0-7 level=NUMA [ 0.803080] groups: 0:{ span=0-5 mask=0-1 cap=5843 }, 6:{ span=4-7 mask=6-7 cap=4077 } [ 0.804055] CPU1 attaching sched-domain(s): [ 0.804072] domain-0: span=0-1 level=MC [ 0.804096] groups: 1:{ span=1 cap=979 }, 0:{ span=0 cap=1013 } [ 0.804152] domain-1: span=0-3 level=NUMA [ 0.804170] groups: 0:{ span=0-1 cap=1992 }, 2:{ span=2-3 cap=1943 } [ 0.804219] domain-2: span=0-5 level=NUMA [ 0.804236] groups: 0:{ span=0-3 cap=3935 }, 4:{ span=4-7 cap=3937 } [ 0.804302] ERROR: groups don't span domain->span [ 0.804520] domain-3: span=0-7 level=NUMA [ 0.804546] groups: 0:{ span=0-5 mask=0-1 cap=5843 }, 6:{ span=4-7 mask=6-7 cap=4077 } [ 0.804677] CPU2 attaching sched-domain(s): [ 0.804687] domain-0: span=2-3 level=MC [ 0.804705] groups: 2:{ span=2 cap=934 }, 3:{ span=3 cap=1009 } [ 0.804754] domain-1: span=0-3 level=NUMA [ 0.804772] groups: 2:{ span=2-3 cap=1943 }, 0:{ span=0-1 cap=1992 } [ 0.804820] domain-2: span=0-5 level=NUMA [ 0.804836] groups: 2:{ span=0-3 mask=2-3 cap=3991 }, 4:{ span=0-1,4-7 mask=4-5 cap=5985 } [ 0.804944] ERROR: groups don't span domain->span [ 0.805108] domain-3: span=0-7 level=NUMA [ 0.805134] groups: 2:{ span=0-5 mask=2-3 cap=5899 }, 6:{ span=0-1,4-7 mask=6-7 cap=6125 } [ 0.805223] CPU3 attaching sched-domain(s): [ 0.805232] domain-0: span=2-3 level=MC [ 0.805249] groups: 3:{ span=3 cap=1009 }, 2:{ span=2 cap=934 } [ 0.805319] domain-1: span=0-3 level=NUMA [ 0.805336] groups: 2:{ span=2-3 cap=1943 }, 0:{ span=0-1 cap=1992 } [ 0.805383] domain-2: span=0-5 level=NUMA [ 0.805399] groups: 2:{ span=0-3 mask=2-3 cap=3991 }, 4:{ span=0-1,4-7 mask=4-5 cap=5985 } [ 0.805458] ERROR: groups don't span domain->span [ 0.805605] domain-3: span=0-7 level=NUMA [ 0.805626] groups: 2:{ span=0-5 mask=2-3 cap=5899 }, 6:{ span=0-1,4-7 mask=6-7 cap=6125 } [ 0.805712] CPU4 attaching sched-domain(s): [ 0.805721] domain-0: span=4-5 level=MC [ 0.805738] groups: 4:{ span=4 cap=984 }, 5:{ span=5 cap=924 } [ 0.805787] domain-1: span=4-7 level=NUMA [ 0.805803] groups: 4:{ span=4-5 cap=1908 }, 6:{ span=6-7 cap=2029 } [ 0.805851] domain-2: span=0-1,4-7 level=NUMA [ 0.805867] groups: 4:{ span=4-7 cap=3937 }, 0:{ span=0-3 cap=3935 } [ 0.805915] ERROR: groups don't span domain->span [ 0.806108] domain-3: span=0-7 level=NUMA [ 0.806130] groups: 4:{ span=0-1,4-7 mask=4-5 cap=5985 }, 2:{ span=0-3 mask=2-3 cap=3991 } [ 0.806214] CPU5 attaching sched-domain(s): [ 0.806222] domain-0: span=4-5 level=MC [ 0.806240] groups: 5:{ span=5 cap=924 }, 4:{ span=4 cap=984 } [ 0.806841] domain-1: span=4-7 level=NUMA [ 0.806866] groups: 4:{ span=4-5 cap=1908 }, 6:{ span=6-7 cap=2029 } [ 0.806934] domain-2: span=0-1,4-7 level=NUMA [ 0.806953] groups: 4:{ span=4-7 cap=3937 }, 0:{ span=0-3 cap=3935 } [ 0.807004] ERROR: groups don't span domain->span [ 0.807312] domain-3: span=0-7 level=NUMA [ 0.807386] groups: 4:{ span=0-1,4-7 mask=4-5 cap=5985 }, 2:{ span=0-3 mask=2-3 cap=3991 } [ 0.807686] CPU6 attaching sched-domain(s): [ 0.807710] domain-0: span=6-7 level=MC [ 0.807750] groups: 6:{ span=6 cap=1017 }, 7:{ span=7 cap=1012 } [ 0.807840] domain-1: span=4-7 level=NUMA [ 0.807870] groups: 6:{ span=6-7 cap=2029 }, 4:{ span=4-5 cap=1908 } [ 0.807952] domain-2: span=0-1,4-7 level=NUMA [ 0.807985] groups: 6:{ span=4-7 mask=6-7 cap=4077 }, 0:{ span=0-5 mask=0-1 cap=5843 } [ 0.808045] ERROR: groups don't span domain->span [ 0.808257] domain-3: span=0-7 level=NUMA [ 0.808571] groups: 6:{ span=0-1,4-7 mask=6-7 cap=6125 }, 2:{ span=0-5 mask=2-3 cap=5899 } [ 0.808848] CPU7 attaching sched-domain(s): [ 0.808860] domain-0: span=6-7 level=MC [ 0.808880] groups: 7:{ span=7 cap=1012 }, 6:{ span=6 cap=1017 } [ 0.808953] domain-1: span=4-7 level=NUMA [ 0.808974] groups: 6:{ span=6-7 cap=2029 }, 4:{ span=4-5 cap=1908 } [ 0.809034] domain-2: span=0-1,4-7 level=NUMA [ 0.809055] groups: 6:{ span=4-7 mask=6-7 cap=4077 }, 0:{ span=0-5 mask=0-1 cap=5843 } [ 0.809128] ERROR: groups don't span domain->span [ 0.810361] domain-3: span=0-7 level=NUMA [ 0.810400] groups: 6:{ span=0-1,4-7 mask=6-7 cap=5961 }, 2:{ span=0-5 mask=2-3 cap=5903 } w/ patch, we don't get "groups don't span domain->span" any more: [ 1.486271] CPU0 attaching sched-domain(s): [ 1.486820] domain-0: span=0-1 level=MC [ 1.500924] groups: 0:{ span=0 cap=980 }, 1:{ span=1 cap=994 } [ 1.515717] domain-1: span=0-3 level=NUMA [ 1.515903] groups: 0:{ span=0-1 cap=1974 }, 2:{ span=2-3 cap=1989 } [ 1.516989] domain-2: span=0-5 level=NUMA [ 1.517124] groups: 0:{ span=0-3 cap=3963 }, 4:{ span=4-5 cap=1949 } [ 1.517369] domain-3: span=0-7 level=NUMA [ 1.517423] groups: 0:{ span=0-5 mask=0-1 cap=5912 }, 6:{ span=4-7 mask=6-7 cap=4054 } [ 1.520027] CPU1 attaching sched-domain(s): [ 1.520097] domain-0: span=0-1 level=MC [ 1.520184] groups: 1:{ span=1 cap=994 }, 0:{ span=0 cap=980 } [ 1.520429] domain-1: span=0-3 level=NUMA [ 1.520487] groups: 0:{ span=0-1 cap=1974 }, 2:{ span=2-3 cap=1989 } [ 1.520687] domain-2: span=0-5 level=NUMA [ 1.520744] groups: 0:{ span=0-3 cap=3963 }, 4:{ span=4-5 cap=1949 } [ 1.520948] domain-3: span=0-7 level=NUMA [ 1.521038] groups: 0:{ span=0-5 mask=0-1 cap=5912 }, 6:{ span=4-7 mask=6-7 cap=4054 } [ 1.522068] CPU2 attaching sched-domain(s): [ 1.522348] domain-0: span=2-3 level=MC [ 1.522606] groups: 2:{ span=2 cap=1003 }, 3:{ span=3 cap=986 } [ 1.522832] domain-1: span=0-3 level=NUMA [ 1.522885] groups: 2:{ span=2-3 cap=1989 }, 0:{ span=0-1 cap=1974 } [ 1.523043] domain-2: span=0-5 level=NUMA [ 1.523092] groups: 2:{ span=0-3 mask=2-3 cap=4037 }, 4:{ span=4-5 cap=1949 } [ 1.523302] domain-3: span=0-7 level=NUMA [ 1.523352] groups: 2:{ span=0-5 mask=2-3 cap=5986 }, 6:{ span=0-1,4-7 mask=6-7 cap=6102 } [ 1.523748] CPU3 attaching sched-domain(s): [ 1.523774] domain-0: span=2-3 level=MC [ 1.523825] groups: 3:{ span=3 cap=986 }, 2:{ span=2 cap=1003 } [ 1.524009] domain-1: span=0-3 level=NUMA [ 1.524086] groups: 2:{ span=2-3 cap=1989 }, 0:{ span=0-1 cap=1974 } [ 1.524281] domain-2: span=0-5 level=NUMA [ 1.524331] groups: 2:{ span=0-3 mask=2-3 cap=4037 }, 4:{ span=4-5 cap=1949 } [ 1.524534] domain-3: span=0-7 level=NUMA [ 1.524586] groups: 2:{ span=0-5 mask=2-3 cap=5986 }, 6:{ span=0-1,4-7 mask=6-7 cap=6102 } [ 1.524847] CPU4 attaching sched-domain(s): [ 1.524873] domain-0: span=4-5 level=MC [ 1.524954] groups: 4:{ span=4 cap=958 }, 5:{ span=5 cap=991 } [ 1.525105] domain-1: span=4-7 level=NUMA [ 1.525153] groups: 4:{ span=4-5 cap=1949 }, 6:{ span=6-7 cap=2006 } [ 1.525368] domain-2: span=0-1,4-7 level=NUMA [ 1.525428] groups: 4:{ span=4-7 cap=3955 }, 0:{ span=0-1 cap=1974 } [ 1.532726] domain-3: span=0-7 level=NUMA [ 1.532811] groups: 4:{ span=0-1,4-7 mask=4-5 cap=6003 }, 2:{ span=0-3 mask=2-3 cap=4037 } [ 1.534125] CPU5 attaching sched-domain(s): [ 1.534159] domain-0: span=4-5 level=MC [ 1.534303] groups: 5:{ span=5 cap=991 }, 4:{ span=4 cap=958 } [ 1.534490] domain-1: span=4-7 level=NUMA [ 1.534572] groups: 4:{ span=4-5 cap=1949 }, 6:{ span=6-7 cap=2006 } [ 1.534734] domain-2: span=0-1,4-7 level=NUMA [ 1.534783] groups: 4:{ span=4-7 cap=3955 }, 0:{ span=0-1 cap=1974 } [ 1.536057] domain-3: span=0-7 level=NUMA [ 1.536430] groups: 4:{ span=0-1,4-7 mask=4-5 cap=6003 }, 2:{ span=0-3 mask=2-3 cap=3896 } [ 1.536815] CPU6 attaching sched-domain(s): [ 1.536846] domain-0: span=6-7 level=MC [ 1.536934] groups: 6:{ span=6 cap=1005 }, 7:{ span=7 cap=1001 } [ 1.537144] domain-1: span=4-7 level=NUMA [ 1.537262] groups: 6:{ span=6-7 cap=2006 }, 4:{ span=4-5 cap=1949 } [ 1.537553] domain-2: span=0-1,4-7 level=NUMA [ 1.537613] groups: 6:{ span=4-7 mask=6-7 cap=4054 }, 0:{ span=0-1 cap=1805 } [ 1.537872] domain-3: span=0-7 level=NUMA [ 1.537998] groups: 6:{ span=0-1,4-7 mask=6-7 cap=6102 }, 2:{ span=0-5 mask=2-3 cap=5845 } [ 1.538448] CPU7 attaching sched-domain(s): [ 1.538505] domain-0: span=6-7 level=MC [ 1.538586] groups: 7:{ span=7 cap=1001 }, 6:{ span=6 cap=1005 } [ 1.538746] domain-1: span=4-7 level=NUMA [ 1.538798] groups: 6:{ span=6-7 cap=2006 }, 4:{ span=4-5 cap=1949 } [ 1.539048] domain-2: span=0-1,4-7 level=NUMA [ 1.539111] groups: 6:{ span=4-7 mask=6-7 cap=4054 }, 0:{ span=0-1 cap=1805 } [ 1.539571] domain-3: span=0-7 level=NUMA [ 1.539610] groups: 6:{ span=0-1,4-7 mask=6-7 cap=6102 }, 2:{ span=0-5 mask=2-3 cap=5845 } Signed-off-by: Barry Song <song.bao.hua@hisilicon.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Reviewed-by: Valentin Schneider <valentin.schneider@arm.com> Tested-by: Meelis Roos <mroos@linux.ee> Link: https://lkml.kernel.org/r/20210224030944.15232-1-song.bao.hua@hisilicon.com
2021-02-24 03:09:44 +00:00
/*
* Usually we build sched_group by sibling's child sched_domain
* But for machines whose NUMA diameter are 3 or above, we move
* to build sched_group by sibling's proper descendant's child
* domain because sibling's child sched_domain will span out of
* the sched_domain being built as below.
*
* Smallest diameter=3 topology is:
*
* node 0 1 2 3
* 0: 10 20 30 40
* 1: 20 10 20 30
* 2: 30 20 10 20
* 3: 40 30 20 10
*
* 0 --- 1 --- 2 --- 3
*
* NUMA-3 0-3 N/A N/A 0-3
* groups: {0-2},{1-3} {1-3},{0-2}
*
* NUMA-2 0-2 0-3 0-3 1-3
* groups: {0-1},{1-3} {0-2},{2-3} {1-3},{0-1} {2-3},{0-2}
*
* NUMA-1 0-1 0-2 1-3 2-3
* groups: {0},{1} {1},{2},{0} {2},{3},{1} {3},{2}
*
* NUMA-0 0 1 2 3
*
* The NUMA-2 groups for nodes 0 and 3 are obviously buggered, as the
* group span isn't a subset of the domain span.
*/
if (sibling->child &&
!cpumask_subset(sched_domain_span(sibling->child), span))
sibling = find_descended_sibling(sd, sibling);
sg = build_group_from_child_sched_domain(sibling, cpu);
if (!sg)
goto fail;
sg_span = sched_group_span(sg);
cpumask_or(covered, covered, sg_span);
sched/topology: fix the issue groups don't span domain->span for NUMA diameter > 2 As long as NUMA diameter > 2, building sched_domain by sibling's child domain will definitely create a sched_domain with sched_group which will span out of the sched_domain: +------+ +------+ +-------+ +------+ | node | 12 |node | 20 | node | 12 |node | | 0 +---------+1 +--------+ 2 +-------+3 | +------+ +------+ +-------+ +------+ domain0 node0 node1 node2 node3 domain1 node0+1 node0+1 node2+3 node2+3 + domain2 node0+1+2 | group: node0+1 | group:node2+3 <-------------------+ when node2 is added into the domain2 of node0, kernel is using the child domain of node2's domain2, which is domain1(node2+3). Node 3 is outside the span of the domain including node0+1+2. This will make load_balance() run based on screwed avg_load and group_type in the sched_group spanning out of the sched_domain, and it also makes select_task_rq_fair() pick an idle CPU outside the sched_domain. Real servers which suffer from this problem include Kunpeng920 and 8-node Sun Fire X4600-M2, at least. Here we move to use the *child* domain of the *child* domain of node2's domain2 as the new added sched_group. At the same, we re-use the lower level sgc directly. +------+ +------+ +-------+ +------+ | node | 12 |node | 20 | node | 12 |node | | 0 +---------+1 +--------+ 2 +-------+3 | +------+ +------+ +-------+ +------+ domain0 node0 node1 +- node2 node3 | domain1 node0+1 node0+1 | node2+3 node2+3 | domain2 node0+1+2 | group: node0+1 | group:node2 <-------------------+ While the lower level sgc is re-used, this patch only changes the remote sched_groups for those sched_domains playing grandchild trick, therefore, sgc->next_update is still safe since it's only touched by CPUs that have the group span as local group. And sgc->imbalance is also safe because sd_parent remains the same in load_balance and LB only tries other CPUs from the local group. Moreover, since local groups are not touched, they are still getting roughly equal size in a TL. And should_we_balance() only matters with local groups, so the pull probability of those groups are still roughly equal. Tested by the below topology: qemu-system-aarch64 -M virt -nographic \ -smp cpus=8 \ -numa node,cpus=0-1,nodeid=0 \ -numa node,cpus=2-3,nodeid=1 \ -numa node,cpus=4-5,nodeid=2 \ -numa node,cpus=6-7,nodeid=3 \ -numa dist,src=0,dst=1,val=12 \ -numa dist,src=0,dst=2,val=20 \ -numa dist,src=0,dst=3,val=22 \ -numa dist,src=1,dst=2,val=22 \ -numa dist,src=2,dst=3,val=12 \ -numa dist,src=1,dst=3,val=24 \ -m 4G -cpu cortex-a57 -kernel arch/arm64/boot/Image w/o patch, we get lots of "groups don't span domain->span": [ 0.802139] CPU0 attaching sched-domain(s): [ 0.802193] domain-0: span=0-1 level=MC [ 0.802443] groups: 0:{ span=0 cap=1013 }, 1:{ span=1 cap=979 } [ 0.802693] domain-1: span=0-3 level=NUMA [ 0.802731] groups: 0:{ span=0-1 cap=1992 }, 2:{ span=2-3 cap=1943 } [ 0.802811] domain-2: span=0-5 level=NUMA [ 0.802829] groups: 0:{ span=0-3 cap=3935 }, 4:{ span=4-7 cap=3937 } [ 0.802881] ERROR: groups don't span domain->span [ 0.803058] domain-3: span=0-7 level=NUMA [ 0.803080] groups: 0:{ span=0-5 mask=0-1 cap=5843 }, 6:{ span=4-7 mask=6-7 cap=4077 } [ 0.804055] CPU1 attaching sched-domain(s): [ 0.804072] domain-0: span=0-1 level=MC [ 0.804096] groups: 1:{ span=1 cap=979 }, 0:{ span=0 cap=1013 } [ 0.804152] domain-1: span=0-3 level=NUMA [ 0.804170] groups: 0:{ span=0-1 cap=1992 }, 2:{ span=2-3 cap=1943 } [ 0.804219] domain-2: span=0-5 level=NUMA [ 0.804236] groups: 0:{ span=0-3 cap=3935 }, 4:{ span=4-7 cap=3937 } [ 0.804302] ERROR: groups don't span domain->span [ 0.804520] domain-3: span=0-7 level=NUMA [ 0.804546] groups: 0:{ span=0-5 mask=0-1 cap=5843 }, 6:{ span=4-7 mask=6-7 cap=4077 } [ 0.804677] CPU2 attaching sched-domain(s): [ 0.804687] domain-0: span=2-3 level=MC [ 0.804705] groups: 2:{ span=2 cap=934 }, 3:{ span=3 cap=1009 } [ 0.804754] domain-1: span=0-3 level=NUMA [ 0.804772] groups: 2:{ span=2-3 cap=1943 }, 0:{ span=0-1 cap=1992 } [ 0.804820] domain-2: span=0-5 level=NUMA [ 0.804836] groups: 2:{ span=0-3 mask=2-3 cap=3991 }, 4:{ span=0-1,4-7 mask=4-5 cap=5985 } [ 0.804944] ERROR: groups don't span domain->span [ 0.805108] domain-3: span=0-7 level=NUMA [ 0.805134] groups: 2:{ span=0-5 mask=2-3 cap=5899 }, 6:{ span=0-1,4-7 mask=6-7 cap=6125 } [ 0.805223] CPU3 attaching sched-domain(s): [ 0.805232] domain-0: span=2-3 level=MC [ 0.805249] groups: 3:{ span=3 cap=1009 }, 2:{ span=2 cap=934 } [ 0.805319] domain-1: span=0-3 level=NUMA [ 0.805336] groups: 2:{ span=2-3 cap=1943 }, 0:{ span=0-1 cap=1992 } [ 0.805383] domain-2: span=0-5 level=NUMA [ 0.805399] groups: 2:{ span=0-3 mask=2-3 cap=3991 }, 4:{ span=0-1,4-7 mask=4-5 cap=5985 } [ 0.805458] ERROR: groups don't span domain->span [ 0.805605] domain-3: span=0-7 level=NUMA [ 0.805626] groups: 2:{ span=0-5 mask=2-3 cap=5899 }, 6:{ span=0-1,4-7 mask=6-7 cap=6125 } [ 0.805712] CPU4 attaching sched-domain(s): [ 0.805721] domain-0: span=4-5 level=MC [ 0.805738] groups: 4:{ span=4 cap=984 }, 5:{ span=5 cap=924 } [ 0.805787] domain-1: span=4-7 level=NUMA [ 0.805803] groups: 4:{ span=4-5 cap=1908 }, 6:{ span=6-7 cap=2029 } [ 0.805851] domain-2: span=0-1,4-7 level=NUMA [ 0.805867] groups: 4:{ span=4-7 cap=3937 }, 0:{ span=0-3 cap=3935 } [ 0.805915] ERROR: groups don't span domain->span [ 0.806108] domain-3: span=0-7 level=NUMA [ 0.806130] groups: 4:{ span=0-1,4-7 mask=4-5 cap=5985 }, 2:{ span=0-3 mask=2-3 cap=3991 } [ 0.806214] CPU5 attaching sched-domain(s): [ 0.806222] domain-0: span=4-5 level=MC [ 0.806240] groups: 5:{ span=5 cap=924 }, 4:{ span=4 cap=984 } [ 0.806841] domain-1: span=4-7 level=NUMA [ 0.806866] groups: 4:{ span=4-5 cap=1908 }, 6:{ span=6-7 cap=2029 } [ 0.806934] domain-2: span=0-1,4-7 level=NUMA [ 0.806953] groups: 4:{ span=4-7 cap=3937 }, 0:{ span=0-3 cap=3935 } [ 0.807004] ERROR: groups don't span domain->span [ 0.807312] domain-3: span=0-7 level=NUMA [ 0.807386] groups: 4:{ span=0-1,4-7 mask=4-5 cap=5985 }, 2:{ span=0-3 mask=2-3 cap=3991 } [ 0.807686] CPU6 attaching sched-domain(s): [ 0.807710] domain-0: span=6-7 level=MC [ 0.807750] groups: 6:{ span=6 cap=1017 }, 7:{ span=7 cap=1012 } [ 0.807840] domain-1: span=4-7 level=NUMA [ 0.807870] groups: 6:{ span=6-7 cap=2029 }, 4:{ span=4-5 cap=1908 } [ 0.807952] domain-2: span=0-1,4-7 level=NUMA [ 0.807985] groups: 6:{ span=4-7 mask=6-7 cap=4077 }, 0:{ span=0-5 mask=0-1 cap=5843 } [ 0.808045] ERROR: groups don't span domain->span [ 0.808257] domain-3: span=0-7 level=NUMA [ 0.808571] groups: 6:{ span=0-1,4-7 mask=6-7 cap=6125 }, 2:{ span=0-5 mask=2-3 cap=5899 } [ 0.808848] CPU7 attaching sched-domain(s): [ 0.808860] domain-0: span=6-7 level=MC [ 0.808880] groups: 7:{ span=7 cap=1012 }, 6:{ span=6 cap=1017 } [ 0.808953] domain-1: span=4-7 level=NUMA [ 0.808974] groups: 6:{ span=6-7 cap=2029 }, 4:{ span=4-5 cap=1908 } [ 0.809034] domain-2: span=0-1,4-7 level=NUMA [ 0.809055] groups: 6:{ span=4-7 mask=6-7 cap=4077 }, 0:{ span=0-5 mask=0-1 cap=5843 } [ 0.809128] ERROR: groups don't span domain->span [ 0.810361] domain-3: span=0-7 level=NUMA [ 0.810400] groups: 6:{ span=0-1,4-7 mask=6-7 cap=5961 }, 2:{ span=0-5 mask=2-3 cap=5903 } w/ patch, we don't get "groups don't span domain->span" any more: [ 1.486271] CPU0 attaching sched-domain(s): [ 1.486820] domain-0: span=0-1 level=MC [ 1.500924] groups: 0:{ span=0 cap=980 }, 1:{ span=1 cap=994 } [ 1.515717] domain-1: span=0-3 level=NUMA [ 1.515903] groups: 0:{ span=0-1 cap=1974 }, 2:{ span=2-3 cap=1989 } [ 1.516989] domain-2: span=0-5 level=NUMA [ 1.517124] groups: 0:{ span=0-3 cap=3963 }, 4:{ span=4-5 cap=1949 } [ 1.517369] domain-3: span=0-7 level=NUMA [ 1.517423] groups: 0:{ span=0-5 mask=0-1 cap=5912 }, 6:{ span=4-7 mask=6-7 cap=4054 } [ 1.520027] CPU1 attaching sched-domain(s): [ 1.520097] domain-0: span=0-1 level=MC [ 1.520184] groups: 1:{ span=1 cap=994 }, 0:{ span=0 cap=980 } [ 1.520429] domain-1: span=0-3 level=NUMA [ 1.520487] groups: 0:{ span=0-1 cap=1974 }, 2:{ span=2-3 cap=1989 } [ 1.520687] domain-2: span=0-5 level=NUMA [ 1.520744] groups: 0:{ span=0-3 cap=3963 }, 4:{ span=4-5 cap=1949 } [ 1.520948] domain-3: span=0-7 level=NUMA [ 1.521038] groups: 0:{ span=0-5 mask=0-1 cap=5912 }, 6:{ span=4-7 mask=6-7 cap=4054 } [ 1.522068] CPU2 attaching sched-domain(s): [ 1.522348] domain-0: span=2-3 level=MC [ 1.522606] groups: 2:{ span=2 cap=1003 }, 3:{ span=3 cap=986 } [ 1.522832] domain-1: span=0-3 level=NUMA [ 1.522885] groups: 2:{ span=2-3 cap=1989 }, 0:{ span=0-1 cap=1974 } [ 1.523043] domain-2: span=0-5 level=NUMA [ 1.523092] groups: 2:{ span=0-3 mask=2-3 cap=4037 }, 4:{ span=4-5 cap=1949 } [ 1.523302] domain-3: span=0-7 level=NUMA [ 1.523352] groups: 2:{ span=0-5 mask=2-3 cap=5986 }, 6:{ span=0-1,4-7 mask=6-7 cap=6102 } [ 1.523748] CPU3 attaching sched-domain(s): [ 1.523774] domain-0: span=2-3 level=MC [ 1.523825] groups: 3:{ span=3 cap=986 }, 2:{ span=2 cap=1003 } [ 1.524009] domain-1: span=0-3 level=NUMA [ 1.524086] groups: 2:{ span=2-3 cap=1989 }, 0:{ span=0-1 cap=1974 } [ 1.524281] domain-2: span=0-5 level=NUMA [ 1.524331] groups: 2:{ span=0-3 mask=2-3 cap=4037 }, 4:{ span=4-5 cap=1949 } [ 1.524534] domain-3: span=0-7 level=NUMA [ 1.524586] groups: 2:{ span=0-5 mask=2-3 cap=5986 }, 6:{ span=0-1,4-7 mask=6-7 cap=6102 } [ 1.524847] CPU4 attaching sched-domain(s): [ 1.524873] domain-0: span=4-5 level=MC [ 1.524954] groups: 4:{ span=4 cap=958 }, 5:{ span=5 cap=991 } [ 1.525105] domain-1: span=4-7 level=NUMA [ 1.525153] groups: 4:{ span=4-5 cap=1949 }, 6:{ span=6-7 cap=2006 } [ 1.525368] domain-2: span=0-1,4-7 level=NUMA [ 1.525428] groups: 4:{ span=4-7 cap=3955 }, 0:{ span=0-1 cap=1974 } [ 1.532726] domain-3: span=0-7 level=NUMA [ 1.532811] groups: 4:{ span=0-1,4-7 mask=4-5 cap=6003 }, 2:{ span=0-3 mask=2-3 cap=4037 } [ 1.534125] CPU5 attaching sched-domain(s): [ 1.534159] domain-0: span=4-5 level=MC [ 1.534303] groups: 5:{ span=5 cap=991 }, 4:{ span=4 cap=958 } [ 1.534490] domain-1: span=4-7 level=NUMA [ 1.534572] groups: 4:{ span=4-5 cap=1949 }, 6:{ span=6-7 cap=2006 } [ 1.534734] domain-2: span=0-1,4-7 level=NUMA [ 1.534783] groups: 4:{ span=4-7 cap=3955 }, 0:{ span=0-1 cap=1974 } [ 1.536057] domain-3: span=0-7 level=NUMA [ 1.536430] groups: 4:{ span=0-1,4-7 mask=4-5 cap=6003 }, 2:{ span=0-3 mask=2-3 cap=3896 } [ 1.536815] CPU6 attaching sched-domain(s): [ 1.536846] domain-0: span=6-7 level=MC [ 1.536934] groups: 6:{ span=6 cap=1005 }, 7:{ span=7 cap=1001 } [ 1.537144] domain-1: span=4-7 level=NUMA [ 1.537262] groups: 6:{ span=6-7 cap=2006 }, 4:{ span=4-5 cap=1949 } [ 1.537553] domain-2: span=0-1,4-7 level=NUMA [ 1.537613] groups: 6:{ span=4-7 mask=6-7 cap=4054 }, 0:{ span=0-1 cap=1805 } [ 1.537872] domain-3: span=0-7 level=NUMA [ 1.537998] groups: 6:{ span=0-1,4-7 mask=6-7 cap=6102 }, 2:{ span=0-5 mask=2-3 cap=5845 } [ 1.538448] CPU7 attaching sched-domain(s): [ 1.538505] domain-0: span=6-7 level=MC [ 1.538586] groups: 7:{ span=7 cap=1001 }, 6:{ span=6 cap=1005 } [ 1.538746] domain-1: span=4-7 level=NUMA [ 1.538798] groups: 6:{ span=6-7 cap=2006 }, 4:{ span=4-5 cap=1949 } [ 1.539048] domain-2: span=0-1,4-7 level=NUMA [ 1.539111] groups: 6:{ span=4-7 mask=6-7 cap=4054 }, 0:{ span=0-1 cap=1805 } [ 1.539571] domain-3: span=0-7 level=NUMA [ 1.539610] groups: 6:{ span=0-1,4-7 mask=6-7 cap=6102 }, 2:{ span=0-5 mask=2-3 cap=5845 } Signed-off-by: Barry Song <song.bao.hua@hisilicon.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Reviewed-by: Valentin Schneider <valentin.schneider@arm.com> Tested-by: Meelis Roos <mroos@linux.ee> Link: https://lkml.kernel.org/r/20210224030944.15232-1-song.bao.hua@hisilicon.com
2021-02-24 03:09:44 +00:00
init_overlap_sched_group(sibling, sg);
if (!first)
first = sg;
if (last)
last->next = sg;
last = sg;
last->next = first;
}
sd->groups = first;
return 0;
fail:
free_sched_groups(first, 0);
return -ENOMEM;
}
/*
* Package topology (also see the load-balance blurb in fair.c)
*
* The scheduler builds a tree structure to represent a number of important
* topology features. By default (default_topology[]) these include:
*
* - Simultaneous multithreading (SMT)
* - Multi-Core Cache (MC)
* - Package (PKG)
*
* Where the last one more or less denotes everything up to a NUMA node.
*
* The tree consists of 3 primary data structures:
*
* sched_domain -> sched_group -> sched_group_capacity
* ^ ^ ^ ^
* `-' `-'
*
* The sched_domains are per-CPU and have a two way link (parent & child) and
* denote the ever growing mask of CPUs belonging to that level of topology.
*
* Each sched_domain has a circular (double) linked list of sched_group's, each
* denoting the domains of the level below (or individual CPUs in case of the
* first domain level). The sched_group linked by a sched_domain includes the
* CPU of that sched_domain [*].
*
* Take for instance a 2 threaded, 2 core, 2 cache cluster part:
*
* CPU 0 1 2 3 4 5 6 7
*
* PKG [ ]
* MC [ ] [ ]
* SMT [ ] [ ] [ ] [ ]
*
* - or -
*
* PKG 0-7 0-7 0-7 0-7 0-7 0-7 0-7 0-7
* MC 0-3 0-3 0-3 0-3 4-7 4-7 4-7 4-7
* SMT 0-1 0-1 2-3 2-3 4-5 4-5 6-7 6-7
*
* CPU 0 1 2 3 4 5 6 7
*
* One way to think about it is: sched_domain moves you up and down among these
* topology levels, while sched_group moves you sideways through it, at child
* domain granularity.
*
* sched_group_capacity ensures each unique sched_group has shared storage.
*
* There are two related construction problems, both require a CPU that
* uniquely identify each group (for a given domain):
*
* - The first is the balance_cpu (see should_we_balance() and the
* load-balance blub in fair.c); for each group we only want 1 CPU to
* continue balancing at a higher domain.
*
* - The second is the sched_group_capacity; we want all identical groups
* to share a single sched_group_capacity.
*
* Since these topologies are exclusive by construction. That is, its
* impossible for an SMT thread to belong to multiple cores, and cores to
* be part of multiple caches. There is a very clear and unique location
* for each CPU in the hierarchy.
*
* Therefore computing a unique CPU for each group is trivial (the iteration
* mask is redundant and set all 1s; all CPUs in a group will end up at _that_
* group), we can simply pick the first CPU in each group.
*
*
* [*] in other words, the first group of each domain is its child domain.
*/
static struct sched_group *get_group(int cpu, struct sd_data *sdd)
{
struct sched_domain *sd = *per_cpu_ptr(sdd->sd, cpu);
struct sched_domain *child = sd->child;
struct sched_group *sg;
sched/topology: Skip duplicate group rewrites in build_sched_groups() While staring at build_sched_domains(), I realized that get_group() does several duplicate (thus useless) writes. If you take the Arm Juno r0 (LITTLEs = [0, 3, 4, 5], bigs = [1, 2]), the sched_group build flow would look like this: ('MC[cpu]->sg' means 'per_cpu_ptr(&tl->data->sg, cpu)' with 'tl == MC') build_sched_groups(MC[CPU0]->sd, CPU0) get_group(0) -> MC[CPU0]->sg get_group(3) -> MC[CPU3]->sg get_group(4) -> MC[CPU4]->sg get_group(5) -> MC[CPU5]->sg build_sched_groups(DIE[CPU0]->sd, CPU0) get_group(0) -> DIE[CPU0]->sg get_group(1) -> DIE[CPU1]->sg <=================+ | build_sched_groups(MC[CPU1]->sd, CPU1) | get_group(1) -> MC[CPU1]->sg | get_group(2) -> MC[CPU2]->sg | | build_sched_groups(DIE[CPU1]->sd, CPU1) ^ get_group(1) -> DIE[CPU1]->sg } We've set up these two up here! get_group(3) -> DIE[CPU0]->sg } From this point on, we will only use sched_groups that have been previously visited & initialized. The only new operation will be which group pointer we affect to sd->groups. On the Juno r0 we get 32 get_group() calls, every single one of them writing to a sched_group->cpumask. However, all of the data structures we need are set up after 8 visits (see above). Return early from get_group() if we've already visited (and thus initialized) the sched_group we're looking at. Overlapping domains are not affected as they do not use build_sched_groups(). Tested on a Juno and a 2 * (Xeon E5-2690) system. ( FWIW I initially checked the refs for both sg && sg->sgc, but figured if they weren't both 0 or > 1 then something must have gone wrong, so I threw in a WARN_ON(). ) No change in functionality intended. Signed-off-by: Valentin Schneider <valentin.schneider@arm.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: linux-kernel@vger.kernel.org Signed-off-by: Ingo Molnar <mingo@kernel.org>
2019-04-09 17:35:45 +00:00
bool already_visited;
if (child)
cpu = cpumask_first(sched_domain_span(child));
sg = *per_cpu_ptr(sdd->sg, cpu);
sg->sgc = *per_cpu_ptr(sdd->sgc, cpu);
sched/topology: Skip duplicate group rewrites in build_sched_groups() While staring at build_sched_domains(), I realized that get_group() does several duplicate (thus useless) writes. If you take the Arm Juno r0 (LITTLEs = [0, 3, 4, 5], bigs = [1, 2]), the sched_group build flow would look like this: ('MC[cpu]->sg' means 'per_cpu_ptr(&tl->data->sg, cpu)' with 'tl == MC') build_sched_groups(MC[CPU0]->sd, CPU0) get_group(0) -> MC[CPU0]->sg get_group(3) -> MC[CPU3]->sg get_group(4) -> MC[CPU4]->sg get_group(5) -> MC[CPU5]->sg build_sched_groups(DIE[CPU0]->sd, CPU0) get_group(0) -> DIE[CPU0]->sg get_group(1) -> DIE[CPU1]->sg <=================+ | build_sched_groups(MC[CPU1]->sd, CPU1) | get_group(1) -> MC[CPU1]->sg | get_group(2) -> MC[CPU2]->sg | | build_sched_groups(DIE[CPU1]->sd, CPU1) ^ get_group(1) -> DIE[CPU1]->sg } We've set up these two up here! get_group(3) -> DIE[CPU0]->sg } From this point on, we will only use sched_groups that have been previously visited & initialized. The only new operation will be which group pointer we affect to sd->groups. On the Juno r0 we get 32 get_group() calls, every single one of them writing to a sched_group->cpumask. However, all of the data structures we need are set up after 8 visits (see above). Return early from get_group() if we've already visited (and thus initialized) the sched_group we're looking at. Overlapping domains are not affected as they do not use build_sched_groups(). Tested on a Juno and a 2 * (Xeon E5-2690) system. ( FWIW I initially checked the refs for both sg && sg->sgc, but figured if they weren't both 0 or > 1 then something must have gone wrong, so I threw in a WARN_ON(). ) No change in functionality intended. Signed-off-by: Valentin Schneider <valentin.schneider@arm.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: linux-kernel@vger.kernel.org Signed-off-by: Ingo Molnar <mingo@kernel.org>
2019-04-09 17:35:45 +00:00
/* Increase refcounts for claim_allocations: */
already_visited = atomic_inc_return(&sg->ref) > 1;
/* sgc visits should follow a similar trend as sg */
WARN_ON(already_visited != (atomic_inc_return(&sg->sgc->ref) > 1));
/* If we have already visited that group, it's already initialized. */
if (already_visited)
return sg;
if (child) {
cpumask_copy(sched_group_span(sg), sched_domain_span(child));
cpumask_copy(group_balance_mask(sg), sched_group_span(sg));
sg->flags = child->flags;
} else {
cpumask_set_cpu(cpu, sched_group_span(sg));
cpumask_set_cpu(cpu, group_balance_mask(sg));
}
sg->sgc->capacity = SCHED_CAPACITY_SCALE * cpumask_weight(sched_group_span(sg));
sg->sgc->min_capacity = SCHED_CAPACITY_SCALE;
sg->sgc->max_capacity = SCHED_CAPACITY_SCALE;
return sg;
}
/*
* build_sched_groups will build a circular linked list of the groups
* covered by the given span, will set each group's ->cpumask correctly,
* and will initialize their ->sgc.
*
* Assumes the sched_domain tree is fully constructed
*/
static int
build_sched_groups(struct sched_domain *sd, int cpu)
{
struct sched_group *first = NULL, *last = NULL;
struct sd_data *sdd = sd->private;
const struct cpumask *span = sched_domain_span(sd);
struct cpumask *covered;
int i;
lockdep_assert_held(&sched_domains_mutex);
covered = sched_domains_tmpmask;
cpumask_clear(covered);
for_each_cpu_wrap(i, span, cpu) {
struct sched_group *sg;
if (cpumask_test_cpu(i, covered))
continue;
sg = get_group(i, sdd);
cpumask_or(covered, covered, sched_group_span(sg));
if (!first)
first = sg;
if (last)
last->next = sg;
last = sg;
}
last->next = first;
sd->groups = first;
return 0;
}
/*
* Initialize sched groups cpu_capacity.
*
* cpu_capacity indicates the capacity of sched group, which is used while
* distributing the load between different sched groups in a sched domain.
* Typically cpu_capacity for all the groups in a sched domain will be same
* unless there are asymmetries in the topology. If there are asymmetries,
* group having more cpu_capacity will pickup more load compared to the
* group having less cpu_capacity.
*/
static void init_sched_groups_capacity(int cpu, struct sched_domain *sd)
{
struct sched_group *sg = sd->groups;
struct cpumask *mask = sched_domains_tmpmask2;
WARN_ON(!sg);
do {
int cpu, cores = 0, max_cpu = -1;
sg->group_weight = cpumask_weight(sched_group_span(sg));
cpumask_copy(mask, sched_group_span(sg));
for_each_cpu(cpu, mask) {
cores++;
#ifdef CONFIG_SCHED_SMT
cpumask_andnot(mask, mask, cpu_smt_mask(cpu));
#endif
}
sg->cores = cores;
if (!(sd->flags & SD_ASYM_PACKING))
goto next;
for_each_cpu(cpu, sched_group_span(sg)) {
if (max_cpu < 0)
max_cpu = cpu;
else if (sched_asym_prefer(cpu, max_cpu))
max_cpu = cpu;
}
sg->asym_prefer_cpu = max_cpu;
next:
sg = sg->next;
} while (sg != sd->groups);
if (cpu != group_balance_cpu(sg))
return;
update_group_capacity(sd, cpu);
}
sched/topology: Rework CPU capacity asymmetry detection Currently the CPU capacity asymmetry detection, performed through asym_cpu_capacity_level, tries to identify the lowest topology level at which the highest CPU capacity is being observed, not necessarily finding the level at which all possible capacity values are visible to all CPUs, which might be bit problematic for some possible/valid asymmetric topologies i.e.: DIE [ ] MC [ ][ ] CPU [0] [1] [2] [3] [4] [5] [6] [7] Capacity |.....| |.....| |.....| |.....| L M B B Where: arch_scale_cpu_capacity(L) = 512 arch_scale_cpu_capacity(M) = 871 arch_scale_cpu_capacity(B) = 1024 In this particular case, the asymmetric topology level will point at MC, as all possible CPU masks for that level do cover the CPU with the highest capacity. It will work just fine for the first cluster, not so much for the second one though (consider the find_energy_efficient_cpu which might end up attempting the energy aware wake-up for a domain that does not see any asymmetry at all) Rework the way the capacity asymmetry levels are being detected, allowing to point to the lowest topology level (for a given CPU), where full set of available CPU capacities is visible to all CPUs within given domain. As a result, the per-cpu sd_asym_cpucapacity might differ across the domains. This will have an impact on EAS wake-up placement in a way that it might see different range of CPUs to be considered, depending on the given current and target CPUs. Additionally, those levels, where any range of asymmetry (not necessarily full) is being detected will get identified as well. The selected asymmetric topology level will be denoted by SD_ASYM_CPUCAPACITY_FULL sched domain flag whereas the 'sub-levels' would receive the already used SD_ASYM_CPUCAPACITY flag. This allows maintaining the current behaviour for asymmetric topologies, with misfit migration operating correctly on lower levels, if applicable, as any asymmetry is enough to trigger the misfit migration. The logic there relies on the SD_ASYM_CPUCAPACITY flag and does not relate to the full asymmetry level denoted by the sd_asym_cpucapacity pointer. Detecting the CPU capacity asymmetry is being based on a set of available CPU capacities for all possible CPUs. This data is being generated upon init and updated once CPU topology changes are being detected (through arch_update_cpu_topology). As such, any changes to identified CPU capacities (like initializing cpufreq) need to be explicitly advertised by corresponding archs to trigger rebuilding the data. Additional -dflags- parameter, used when building sched domains, has been removed as well, as the asymmetry flags are now being set directly in sd_init. Suggested-by: Peter Zijlstra <peterz@infradead.org> Suggested-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Beata Michalska <beata.michalska@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Valentin Schneider <valentin.schneider@arm.com> Reviewed-by: Dietmar Eggemann <dietmar.eggemann@arm.com> Tested-by: Valentin Schneider <valentin.schneider@arm.com> Link: https://lore.kernel.org/r/20210603140627.8409-3-beata.michalska@arm.com
2021-06-03 14:06:26 +00:00
/*
* Asymmetric CPU capacity bits
*/
struct asym_cap_data {
struct list_head link;
unsigned long capacity;
unsigned long cpus[];
};
/*
* Set of available CPUs grouped by their corresponding capacities
* Each list entry contains a CPU mask reflecting CPUs that share the same
* capacity.
* The lifespan of data is unlimited.
*/
static LIST_HEAD(asym_cap_list);
#define cpu_capacity_span(asym_data) to_cpumask((asym_data)->cpus)
/*
* Verify whether there is any CPU capacity asymmetry in a given sched domain.
* Provides sd_flags reflecting the asymmetry scope.
*/
static inline int
asym_cpu_capacity_classify(const struct cpumask *sd_span,
const struct cpumask *cpu_map)
{
struct asym_cap_data *entry;
int count = 0, miss = 0;
/*
* Count how many unique CPU capacities this domain spans across
* (compare sched_domain CPUs mask with ones representing available
* CPUs capacities). Take into account CPUs that might be offline:
* skip those.
*/
list_for_each_entry(entry, &asym_cap_list, link) {
if (cpumask_intersects(sd_span, cpu_capacity_span(entry)))
++count;
else if (cpumask_intersects(cpu_map, cpu_capacity_span(entry)))
++miss;
}
WARN_ON_ONCE(!count && !list_empty(&asym_cap_list));
/* No asymmetry detected */
if (count < 2)
return 0;
/* Some of the available CPU capacity values have not been detected */
if (miss)
return SD_ASYM_CPUCAPACITY;
/* Full asymmetry */
return SD_ASYM_CPUCAPACITY | SD_ASYM_CPUCAPACITY_FULL;
}
static inline void asym_cpu_capacity_update_data(int cpu)
{
unsigned long capacity = arch_scale_cpu_capacity(cpu);
struct asym_cap_data *entry = NULL;
list_for_each_entry(entry, &asym_cap_list, link) {
if (capacity == entry->capacity)
goto done;
}
entry = kzalloc(sizeof(*entry) + cpumask_size(), GFP_KERNEL);
if (WARN_ONCE(!entry, "Failed to allocate memory for asymmetry data\n"))
return;
entry->capacity = capacity;
list_add(&entry->link, &asym_cap_list);
done:
__cpumask_set_cpu(cpu, cpu_capacity_span(entry));
}
/*
* Build-up/update list of CPUs grouped by their capacities
* An update requires explicit request to rebuild sched domains
* with state indicating CPU topology changes.
*/
static void asym_cpu_capacity_scan(void)
{
struct asym_cap_data *entry, *next;
int cpu;
list_for_each_entry(entry, &asym_cap_list, link)
cpumask_clear(cpu_capacity_span(entry));
for_each_cpu_and(cpu, cpu_possible_mask, housekeeping_cpumask(HK_TYPE_DOMAIN))
sched/topology: Rework CPU capacity asymmetry detection Currently the CPU capacity asymmetry detection, performed through asym_cpu_capacity_level, tries to identify the lowest topology level at which the highest CPU capacity is being observed, not necessarily finding the level at which all possible capacity values are visible to all CPUs, which might be bit problematic for some possible/valid asymmetric topologies i.e.: DIE [ ] MC [ ][ ] CPU [0] [1] [2] [3] [4] [5] [6] [7] Capacity |.....| |.....| |.....| |.....| L M B B Where: arch_scale_cpu_capacity(L) = 512 arch_scale_cpu_capacity(M) = 871 arch_scale_cpu_capacity(B) = 1024 In this particular case, the asymmetric topology level will point at MC, as all possible CPU masks for that level do cover the CPU with the highest capacity. It will work just fine for the first cluster, not so much for the second one though (consider the find_energy_efficient_cpu which might end up attempting the energy aware wake-up for a domain that does not see any asymmetry at all) Rework the way the capacity asymmetry levels are being detected, allowing to point to the lowest topology level (for a given CPU), where full set of available CPU capacities is visible to all CPUs within given domain. As a result, the per-cpu sd_asym_cpucapacity might differ across the domains. This will have an impact on EAS wake-up placement in a way that it might see different range of CPUs to be considered, depending on the given current and target CPUs. Additionally, those levels, where any range of asymmetry (not necessarily full) is being detected will get identified as well. The selected asymmetric topology level will be denoted by SD_ASYM_CPUCAPACITY_FULL sched domain flag whereas the 'sub-levels' would receive the already used SD_ASYM_CPUCAPACITY flag. This allows maintaining the current behaviour for asymmetric topologies, with misfit migration operating correctly on lower levels, if applicable, as any asymmetry is enough to trigger the misfit migration. The logic there relies on the SD_ASYM_CPUCAPACITY flag and does not relate to the full asymmetry level denoted by the sd_asym_cpucapacity pointer. Detecting the CPU capacity asymmetry is being based on a set of available CPU capacities for all possible CPUs. This data is being generated upon init and updated once CPU topology changes are being detected (through arch_update_cpu_topology). As such, any changes to identified CPU capacities (like initializing cpufreq) need to be explicitly advertised by corresponding archs to trigger rebuilding the data. Additional -dflags- parameter, used when building sched domains, has been removed as well, as the asymmetry flags are now being set directly in sd_init. Suggested-by: Peter Zijlstra <peterz@infradead.org> Suggested-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Beata Michalska <beata.michalska@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Valentin Schneider <valentin.schneider@arm.com> Reviewed-by: Dietmar Eggemann <dietmar.eggemann@arm.com> Tested-by: Valentin Schneider <valentin.schneider@arm.com> Link: https://lore.kernel.org/r/20210603140627.8409-3-beata.michalska@arm.com
2021-06-03 14:06:26 +00:00
asym_cpu_capacity_update_data(cpu);
list_for_each_entry_safe(entry, next, &asym_cap_list, link) {
if (cpumask_empty(cpu_capacity_span(entry))) {
list_del(&entry->link);
kfree(entry);
}
}
/*
* Only one capacity value has been detected i.e. this system is symmetric.
* No need to keep this data around.
*/
if (list_is_singular(&asym_cap_list)) {
entry = list_first_entry(&asym_cap_list, typeof(*entry), link);
list_del(&entry->link);
kfree(entry);
}
}
/*
* Initializers for schedule domains
* Non-inlined to reduce accumulated stack pressure in build_sched_domains()
*/
static int default_relax_domain_level = -1;
int sched_domain_level_max;
static int __init setup_relax_domain_level(char *str)
{
if (kstrtoint(str, 0, &default_relax_domain_level))
pr_warn("Unable to set relax_domain_level\n");
return 1;
}
__setup("relax_domain_level=", setup_relax_domain_level);
static void set_domain_attribute(struct sched_domain *sd,
struct sched_domain_attr *attr)
{
int request;
if (!attr || attr->relax_domain_level < 0) {
if (default_relax_domain_level < 0)
return;
request = default_relax_domain_level;
} else
request = attr->relax_domain_level;
if (sd->level > request) {
/* Turn off idle balance on this domain: */
sd->flags &= ~(SD_BALANCE_WAKE|SD_BALANCE_NEWIDLE);
}
}
static void __sdt_free(const struct cpumask *cpu_map);
static int __sdt_alloc(const struct cpumask *cpu_map);
static void __free_domain_allocs(struct s_data *d, enum s_alloc what,
const struct cpumask *cpu_map)
{
switch (what) {
case sa_rootdomain:
if (!atomic_read(&d->rd->refcount))
free_rootdomain(&d->rd->rcu);
fallthrough;
case sa_sd:
free_percpu(d->sd);
fallthrough;
case sa_sd_storage:
__sdt_free(cpu_map);
fallthrough;
case sa_none:
break;
}
}
static enum s_alloc
__visit_domain_allocation_hell(struct s_data *d, const struct cpumask *cpu_map)
{
memset(d, 0, sizeof(*d));
if (__sdt_alloc(cpu_map))
return sa_sd_storage;
d->sd = alloc_percpu(struct sched_domain *);
if (!d->sd)
return sa_sd_storage;
d->rd = alloc_rootdomain();
if (!d->rd)
return sa_sd;
return sa_rootdomain;
}
/*
* NULL the sd_data elements we've used to build the sched_domain and
* sched_group structure so that the subsequent __free_domain_allocs()
* will not free the data we're using.
*/
static void claim_allocations(int cpu, struct sched_domain *sd)
{
struct sd_data *sdd = sd->private;
WARN_ON_ONCE(*per_cpu_ptr(sdd->sd, cpu) != sd);
*per_cpu_ptr(sdd->sd, cpu) = NULL;
if (atomic_read(&(*per_cpu_ptr(sdd->sds, cpu))->ref))
*per_cpu_ptr(sdd->sds, cpu) = NULL;
if (atomic_read(&(*per_cpu_ptr(sdd->sg, cpu))->ref))
*per_cpu_ptr(sdd->sg, cpu) = NULL;
if (atomic_read(&(*per_cpu_ptr(sdd->sgc, cpu))->ref))
*per_cpu_ptr(sdd->sgc, cpu) = NULL;
}
#ifdef CONFIG_NUMA
enum numa_topology_type sched_numa_topology_type;
static int sched_domains_numa_levels;
static int sched_domains_curr_level;
int sched_max_numa_distance;
static int *sched_domains_numa_distance;
static struct cpumask ***sched_domains_numa_masks;
#endif
/*
* SD_flags allowed in topology descriptions.
*
* These flags are purely descriptive of the topology and do not prescribe
* behaviour. Behaviour is artificial and mapped in the below sd_init()
* function:
*
* SD_SHARE_CPUCAPACITY - describes SMT topologies
* SD_SHARE_PKG_RESOURCES - describes shared caches
* SD_NUMA - describes NUMA topologies
*
* Odd one out, which beside describing the topology has a quirk also
* prescribes the desired behaviour that goes along with it:
*
* SD_ASYM_PACKING - describes SMT quirks
*/
#define TOPOLOGY_SD_FLAGS \
(SD_SHARE_CPUCAPACITY | \
SD_CLUSTER | \
SD_SHARE_PKG_RESOURCES | \
SD_NUMA | \
SD_ASYM_PACKING)
static struct sched_domain *
sd_init(struct sched_domain_topology_level *tl,
const struct cpumask *cpu_map,
sched/topology: Rework CPU capacity asymmetry detection Currently the CPU capacity asymmetry detection, performed through asym_cpu_capacity_level, tries to identify the lowest topology level at which the highest CPU capacity is being observed, not necessarily finding the level at which all possible capacity values are visible to all CPUs, which might be bit problematic for some possible/valid asymmetric topologies i.e.: DIE [ ] MC [ ][ ] CPU [0] [1] [2] [3] [4] [5] [6] [7] Capacity |.....| |.....| |.....| |.....| L M B B Where: arch_scale_cpu_capacity(L) = 512 arch_scale_cpu_capacity(M) = 871 arch_scale_cpu_capacity(B) = 1024 In this particular case, the asymmetric topology level will point at MC, as all possible CPU masks for that level do cover the CPU with the highest capacity. It will work just fine for the first cluster, not so much for the second one though (consider the find_energy_efficient_cpu which might end up attempting the energy aware wake-up for a domain that does not see any asymmetry at all) Rework the way the capacity asymmetry levels are being detected, allowing to point to the lowest topology level (for a given CPU), where full set of available CPU capacities is visible to all CPUs within given domain. As a result, the per-cpu sd_asym_cpucapacity might differ across the domains. This will have an impact on EAS wake-up placement in a way that it might see different range of CPUs to be considered, depending on the given current and target CPUs. Additionally, those levels, where any range of asymmetry (not necessarily full) is being detected will get identified as well. The selected asymmetric topology level will be denoted by SD_ASYM_CPUCAPACITY_FULL sched domain flag whereas the 'sub-levels' would receive the already used SD_ASYM_CPUCAPACITY flag. This allows maintaining the current behaviour for asymmetric topologies, with misfit migration operating correctly on lower levels, if applicable, as any asymmetry is enough to trigger the misfit migration. The logic there relies on the SD_ASYM_CPUCAPACITY flag and does not relate to the full asymmetry level denoted by the sd_asym_cpucapacity pointer. Detecting the CPU capacity asymmetry is being based on a set of available CPU capacities for all possible CPUs. This data is being generated upon init and updated once CPU topology changes are being detected (through arch_update_cpu_topology). As such, any changes to identified CPU capacities (like initializing cpufreq) need to be explicitly advertised by corresponding archs to trigger rebuilding the data. Additional -dflags- parameter, used when building sched domains, has been removed as well, as the asymmetry flags are now being set directly in sd_init. Suggested-by: Peter Zijlstra <peterz@infradead.org> Suggested-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Beata Michalska <beata.michalska@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Valentin Schneider <valentin.schneider@arm.com> Reviewed-by: Dietmar Eggemann <dietmar.eggemann@arm.com> Tested-by: Valentin Schneider <valentin.schneider@arm.com> Link: https://lore.kernel.org/r/20210603140627.8409-3-beata.michalska@arm.com
2021-06-03 14:06:26 +00:00
struct sched_domain *child, int cpu)
{
struct sd_data *sdd = &tl->data;
struct sched_domain *sd = *per_cpu_ptr(sdd->sd, cpu);
int sd_id, sd_weight, sd_flags = 0;
sched/topology: Rework CPU capacity asymmetry detection Currently the CPU capacity asymmetry detection, performed through asym_cpu_capacity_level, tries to identify the lowest topology level at which the highest CPU capacity is being observed, not necessarily finding the level at which all possible capacity values are visible to all CPUs, which might be bit problematic for some possible/valid asymmetric topologies i.e.: DIE [ ] MC [ ][ ] CPU [0] [1] [2] [3] [4] [5] [6] [7] Capacity |.....| |.....| |.....| |.....| L M B B Where: arch_scale_cpu_capacity(L) = 512 arch_scale_cpu_capacity(M) = 871 arch_scale_cpu_capacity(B) = 1024 In this particular case, the asymmetric topology level will point at MC, as all possible CPU masks for that level do cover the CPU with the highest capacity. It will work just fine for the first cluster, not so much for the second one though (consider the find_energy_efficient_cpu which might end up attempting the energy aware wake-up for a domain that does not see any asymmetry at all) Rework the way the capacity asymmetry levels are being detected, allowing to point to the lowest topology level (for a given CPU), where full set of available CPU capacities is visible to all CPUs within given domain. As a result, the per-cpu sd_asym_cpucapacity might differ across the domains. This will have an impact on EAS wake-up placement in a way that it might see different range of CPUs to be considered, depending on the given current and target CPUs. Additionally, those levels, where any range of asymmetry (not necessarily full) is being detected will get identified as well. The selected asymmetric topology level will be denoted by SD_ASYM_CPUCAPACITY_FULL sched domain flag whereas the 'sub-levels' would receive the already used SD_ASYM_CPUCAPACITY flag. This allows maintaining the current behaviour for asymmetric topologies, with misfit migration operating correctly on lower levels, if applicable, as any asymmetry is enough to trigger the misfit migration. The logic there relies on the SD_ASYM_CPUCAPACITY flag and does not relate to the full asymmetry level denoted by the sd_asym_cpucapacity pointer. Detecting the CPU capacity asymmetry is being based on a set of available CPU capacities for all possible CPUs. This data is being generated upon init and updated once CPU topology changes are being detected (through arch_update_cpu_topology). As such, any changes to identified CPU capacities (like initializing cpufreq) need to be explicitly advertised by corresponding archs to trigger rebuilding the data. Additional -dflags- parameter, used when building sched domains, has been removed as well, as the asymmetry flags are now being set directly in sd_init. Suggested-by: Peter Zijlstra <peterz@infradead.org> Suggested-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Beata Michalska <beata.michalska@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Valentin Schneider <valentin.schneider@arm.com> Reviewed-by: Dietmar Eggemann <dietmar.eggemann@arm.com> Tested-by: Valentin Schneider <valentin.schneider@arm.com> Link: https://lore.kernel.org/r/20210603140627.8409-3-beata.michalska@arm.com
2021-06-03 14:06:26 +00:00
struct cpumask *sd_span;
#ifdef CONFIG_NUMA
/*
* Ugly hack to pass state to sd_numa_mask()...
*/
sched_domains_curr_level = tl->numa_level;
#endif
sd_weight = cpumask_weight(tl->mask(cpu));
if (tl->sd_flags)
sd_flags = (*tl->sd_flags)();
if (WARN_ONCE(sd_flags & ~TOPOLOGY_SD_FLAGS,
"wrong sd_flags in topology description\n"))
sd_flags &= TOPOLOGY_SD_FLAGS;
*sd = (struct sched_domain){
.min_interval = sd_weight,
.max_interval = 2*sd_weight,
.busy_factor = 16,
.imbalance_pct = 117,
.cache_nice_tries = 0,
.flags = 1*SD_BALANCE_NEWIDLE
| 1*SD_BALANCE_EXEC
| 1*SD_BALANCE_FORK
| 0*SD_BALANCE_WAKE
| 1*SD_WAKE_AFFINE
| 0*SD_SHARE_CPUCAPACITY
| 0*SD_SHARE_PKG_RESOURCES
| 0*SD_SERIALIZE
| 1*SD_PREFER_SIBLING
| 0*SD_NUMA
| sd_flags
,
.last_balance = jiffies,
.balance_interval = sd_weight,
.max_newidle_lb_cost = 0,
.last_decay_max_lb_cost = jiffies,
.child = child,
#ifdef CONFIG_SCHED_DEBUG
.name = tl->name,
#endif
};
sched/topology: Rework CPU capacity asymmetry detection Currently the CPU capacity asymmetry detection, performed through asym_cpu_capacity_level, tries to identify the lowest topology level at which the highest CPU capacity is being observed, not necessarily finding the level at which all possible capacity values are visible to all CPUs, which might be bit problematic for some possible/valid asymmetric topologies i.e.: DIE [ ] MC [ ][ ] CPU [0] [1] [2] [3] [4] [5] [6] [7] Capacity |.....| |.....| |.....| |.....| L M B B Where: arch_scale_cpu_capacity(L) = 512 arch_scale_cpu_capacity(M) = 871 arch_scale_cpu_capacity(B) = 1024 In this particular case, the asymmetric topology level will point at MC, as all possible CPU masks for that level do cover the CPU with the highest capacity. It will work just fine for the first cluster, not so much for the second one though (consider the find_energy_efficient_cpu which might end up attempting the energy aware wake-up for a domain that does not see any asymmetry at all) Rework the way the capacity asymmetry levels are being detected, allowing to point to the lowest topology level (for a given CPU), where full set of available CPU capacities is visible to all CPUs within given domain. As a result, the per-cpu sd_asym_cpucapacity might differ across the domains. This will have an impact on EAS wake-up placement in a way that it might see different range of CPUs to be considered, depending on the given current and target CPUs. Additionally, those levels, where any range of asymmetry (not necessarily full) is being detected will get identified as well. The selected asymmetric topology level will be denoted by SD_ASYM_CPUCAPACITY_FULL sched domain flag whereas the 'sub-levels' would receive the already used SD_ASYM_CPUCAPACITY flag. This allows maintaining the current behaviour for asymmetric topologies, with misfit migration operating correctly on lower levels, if applicable, as any asymmetry is enough to trigger the misfit migration. The logic there relies on the SD_ASYM_CPUCAPACITY flag and does not relate to the full asymmetry level denoted by the sd_asym_cpucapacity pointer. Detecting the CPU capacity asymmetry is being based on a set of available CPU capacities for all possible CPUs. This data is being generated upon init and updated once CPU topology changes are being detected (through arch_update_cpu_topology). As such, any changes to identified CPU capacities (like initializing cpufreq) need to be explicitly advertised by corresponding archs to trigger rebuilding the data. Additional -dflags- parameter, used when building sched domains, has been removed as well, as the asymmetry flags are now being set directly in sd_init. Suggested-by: Peter Zijlstra <peterz@infradead.org> Suggested-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Beata Michalska <beata.michalska@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Valentin Schneider <valentin.schneider@arm.com> Reviewed-by: Dietmar Eggemann <dietmar.eggemann@arm.com> Tested-by: Valentin Schneider <valentin.schneider@arm.com> Link: https://lore.kernel.org/r/20210603140627.8409-3-beata.michalska@arm.com
2021-06-03 14:06:26 +00:00
sd_span = sched_domain_span(sd);
cpumask_and(sd_span, cpu_map, tl->mask(cpu));
sd_id = cpumask_first(sd_span);
sd->flags |= asym_cpu_capacity_classify(sd_span, cpu_map);
WARN_ONCE((sd->flags & (SD_SHARE_CPUCAPACITY | SD_ASYM_CPUCAPACITY)) ==
(SD_SHARE_CPUCAPACITY | SD_ASYM_CPUCAPACITY),
"CPU capacity asymmetry not supported on SMT\n");
/*
* Convert topological properties into behaviour.
*/
/* Don't attempt to spread across CPUs of different capacities. */
if ((sd->flags & SD_ASYM_CPUCAPACITY) && sd->child)
sd->child->flags &= ~SD_PREFER_SIBLING;
if (sd->flags & SD_SHARE_CPUCAPACITY) {
sd->imbalance_pct = 110;
} else if (sd->flags & SD_SHARE_PKG_RESOURCES) {
sd->imbalance_pct = 117;
sd->cache_nice_tries = 1;
#ifdef CONFIG_NUMA
} else if (sd->flags & SD_NUMA) {
sd->cache_nice_tries = 2;
sd->flags &= ~SD_PREFER_SIBLING;
sd->flags |= SD_SERIALIZE;
sched/topology: Improve load balancing on AMD EPYC systems SD_BALANCE_{FORK,EXEC} and SD_WAKE_AFFINE are stripped in sd_init() for any sched domains with a NUMA distance greater than 2 hops (RECLAIM_DISTANCE). The idea being that it's expensive to balance across domains that far apart. However, as is rather unfortunately explained in: commit 32e45ff43eaf ("mm: increase RECLAIM_DISTANCE to 30") the value for RECLAIM_DISTANCE is based on node distance tables from 2011-era hardware. Current AMD EPYC machines have the following NUMA node distances: node distances: node 0 1 2 3 4 5 6 7 0: 10 16 16 16 32 32 32 32 1: 16 10 16 16 32 32 32 32 2: 16 16 10 16 32 32 32 32 3: 16 16 16 10 32 32 32 32 4: 32 32 32 32 10 16 16 16 5: 32 32 32 32 16 10 16 16 6: 32 32 32 32 16 16 10 16 7: 32 32 32 32 16 16 16 10 where 2 hops is 32. The result is that the scheduler fails to load balance properly across NUMA nodes on different sockets -- 2 hops apart. For example, pinning 16 busy threads to NUMA nodes 0 (CPUs 0-7) and 4 (CPUs 32-39) like so, $ numactl -C 0-7,32-39 ./spinner 16 causes all threads to fork and remain on node 0 until the active balancer kicks in after a few seconds and forcibly moves some threads to node 4. Override node_reclaim_distance for AMD Zen. Signed-off-by: Matt Fleming <matt@codeblueprint.co.uk> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Acked-by: Mel Gorman <mgorman@techsingularity.net> Cc: Borislav Petkov <bp@alien8.de> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Rik van Riel <riel@surriel.com> Cc: Suravee.Suthikulpanit@amd.com Cc: Thomas Gleixner <tglx@linutronix.de> Cc: Thomas.Lendacky@amd.com Cc: Tony Luck <tony.luck@intel.com> Link: https://lkml.kernel.org/r/20190808195301.13222-3-matt@codeblueprint.co.uk Signed-off-by: Ingo Molnar <mingo@kernel.org>
2019-08-08 19:53:01 +00:00
if (sched_domains_numa_distance[tl->numa_level] > node_reclaim_distance) {
sd->flags &= ~(SD_BALANCE_EXEC |
SD_BALANCE_FORK |
SD_WAKE_AFFINE);
}
#endif
} else {
sd->cache_nice_tries = 1;
}
/*
* For all levels sharing cache; connect a sched_domain_shared
* instance.
*/
if (sd->flags & SD_SHARE_PKG_RESOURCES) {
sd->shared = *per_cpu_ptr(sdd->sds, sd_id);
atomic_inc(&sd->shared->ref);
atomic_set(&sd->shared->nr_busy_cpus, sd_weight);
}
sd->private = sdd;
return sd;
}
/*
* Topology list, bottom-up.
*/
static struct sched_domain_topology_level default_topology[] = {
#ifdef CONFIG_SCHED_SMT
{ cpu_smt_mask, cpu_smt_flags, SD_INIT_NAME(SMT) },
#endif
sched: Add cluster scheduler level in core and related Kconfig for ARM64 This patch adds scheduler level for clusters and automatically enables the load balance among clusters. It will directly benefit a lot of workload which loves more resources such as memory bandwidth, caches. Testing has widely been done in two different hardware configurations of Kunpeng920: 24 cores in one NUMA(6 clusters in each NUMA node); 32 cores in one NUMA(8 clusters in each NUMA node) Workload is running on either one NUMA node or four NUMA nodes, thus, this can estimate the effect of cluster spreading w/ and w/o NUMA load balance. * Stream benchmark: 4threads stream (on 1NUMA * 24cores = 24cores) stream stream w/o patch w/ patch MB/sec copy 29929.64 ( 0.00%) 32932.68 ( 10.03%) MB/sec scale 29861.10 ( 0.00%) 32710.58 ( 9.54%) MB/sec add 27034.42 ( 0.00%) 32400.68 ( 19.85%) MB/sec triad 27225.26 ( 0.00%) 31965.36 ( 17.41%) 6threads stream (on 1NUMA * 24cores = 24cores) stream stream w/o patch w/ patch MB/sec copy 40330.24 ( 0.00%) 42377.68 ( 5.08%) MB/sec scale 40196.42 ( 0.00%) 42197.90 ( 4.98%) MB/sec add 37427.00 ( 0.00%) 41960.78 ( 12.11%) MB/sec triad 37841.36 ( 0.00%) 42513.64 ( 12.35%) 12threads stream (on 1NUMA * 24cores = 24cores) stream stream w/o patch w/ patch MB/sec copy 52639.82 ( 0.00%) 53818.04 ( 2.24%) MB/sec scale 52350.30 ( 0.00%) 53253.38 ( 1.73%) MB/sec add 53607.68 ( 0.00%) 55198.82 ( 2.97%) MB/sec triad 54776.66 ( 0.00%) 56360.40 ( 2.89%) Thus, it could help memory-bound workload especially under medium load. Similar improvement is also seen in lkp-pbzip2: * lkp-pbzip2 benchmark 2-96 threads (on 4NUMA * 24cores = 96cores) lkp-pbzip2 lkp-pbzip2 w/o patch w/ patch Hmean tput-2 11062841.57 ( 0.00%) 11341817.51 * 2.52%* Hmean tput-5 26815503.70 ( 0.00%) 27412872.65 * 2.23%* Hmean tput-8 41873782.21 ( 0.00%) 43326212.92 * 3.47%* Hmean tput-12 61875980.48 ( 0.00%) 64578337.51 * 4.37%* Hmean tput-21 105814963.07 ( 0.00%) 111381851.01 * 5.26%* Hmean tput-30 150349470.98 ( 0.00%) 156507070.73 * 4.10%* Hmean tput-48 237195937.69 ( 0.00%) 242353597.17 * 2.17%* Hmean tput-79 360252509.37 ( 0.00%) 362635169.23 * 0.66%* Hmean tput-96 394571737.90 ( 0.00%) 400952978.48 * 1.62%* 2-24 threads (on 1NUMA * 24cores = 24cores) lkp-pbzip2 lkp-pbzip2 w/o patch w/ patch Hmean tput-2 11071705.49 ( 0.00%) 11296869.10 * 2.03%* Hmean tput-4 20782165.19 ( 0.00%) 21949232.15 * 5.62%* Hmean tput-6 30489565.14 ( 0.00%) 33023026.96 * 8.31%* Hmean tput-8 40376495.80 ( 0.00%) 42779286.27 * 5.95%* Hmean tput-12 61264033.85 ( 0.00%) 62995632.78 * 2.83%* Hmean tput-18 86697139.39 ( 0.00%) 86461545.74 ( -0.27%) Hmean tput-24 104854637.04 ( 0.00%) 104522649.46 * -0.32%* In the case of 6 threads and 8 threads, we see the greatest performance improvement. Similar improvement can be seen on lkp-pixz though the improvement is smaller: * lkp-pixz benchmark 2-24 threads lkp-pixz (on 1NUMA * 24cores = 24cores) lkp-pixz lkp-pixz w/o patch w/ patch Hmean tput-2 6486981.16 ( 0.00%) 6561515.98 * 1.15%* Hmean tput-4 11645766.38 ( 0.00%) 11614628.43 ( -0.27%) Hmean tput-6 15429943.96 ( 0.00%) 15957350.76 * 3.42%* Hmean tput-8 19974087.63 ( 0.00%) 20413746.98 * 2.20%* Hmean tput-12 28172068.18 ( 0.00%) 28751997.06 * 2.06%* Hmean tput-18 39413409.54 ( 0.00%) 39896830.55 * 1.23%* Hmean tput-24 49101815.85 ( 0.00%) 49418141.47 * 0.64%* * SPECrate benchmark 4,8,16 copies mcf_r(on 1NUMA * 32cores = 32cores) Base Base Run Time Rate ------- --------- 4 Copies w/o 580 (w/ 570) w/o 11.1 (w/ 11.3) 8 Copies w/o 647 (w/ 605) w/o 20.0 (w/ 21.4, +7%) 16 Copies w/o 844 (w/ 844) w/o 30.6 (w/ 30.6) 32 Copies(on 4NUMA * 32 cores = 128cores) [w/o patch] Base Base Base Benchmarks Copies Run Time Rate --------------- ------- --------- --------- 500.perlbench_r 32 584 87.2 * 502.gcc_r 32 503 90.2 * 505.mcf_r 32 745 69.4 * 520.omnetpp_r 32 1031 40.7 * 523.xalancbmk_r 32 597 56.6 * 525.x264_r 1 -- CE 531.deepsjeng_r 32 336 109 * 541.leela_r 32 556 95.4 * 548.exchange2_r 32 513 163 * 557.xz_r 32 530 65.2 * Est. SPECrate2017_int_base 80.3 [w/ patch] Base Base Base Benchmarks Copies Run Time Rate --------------- ------- --------- --------- 500.perlbench_r 32 580 87.8 (+0.688%) * 502.gcc_r 32 477 95.1 (+5.432%) * 505.mcf_r 32 644 80.3 (+13.574%) * 520.omnetpp_r 32 942 44.6 (+9.58%) * 523.xalancbmk_r 32 560 60.4 (+6.714%%) * 525.x264_r 1 -- CE 531.deepsjeng_r 32 337 109 (+0.000%) * 541.leela_r 32 554 95.6 (+0.210%) * 548.exchange2_r 32 515 163 (+0.000%) * 557.xz_r 32 524 66.0 (+1.227%) * Est. SPECrate2017_int_base 83.7 (+4.062%) On the other hand, it is slightly helpful to CPU-bound tasks like kernbench: * 24-96 threads kernbench (on 4NUMA * 24cores = 96cores) kernbench kernbench w/o cluster w/ cluster Min user-24 12054.67 ( 0.00%) 12024.19 ( 0.25%) Min syst-24 1751.51 ( 0.00%) 1731.68 ( 1.13%) Min elsp-24 600.46 ( 0.00%) 598.64 ( 0.30%) Min user-48 12361.93 ( 0.00%) 12315.32 ( 0.38%) Min syst-48 1917.66 ( 0.00%) 1892.73 ( 1.30%) Min elsp-48 333.96 ( 0.00%) 332.57 ( 0.42%) Min user-96 12922.40 ( 0.00%) 12921.17 ( 0.01%) Min syst-96 2143.94 ( 0.00%) 2110.39 ( 1.56%) Min elsp-96 211.22 ( 0.00%) 210.47 ( 0.36%) Amean user-24 12063.99 ( 0.00%) 12030.78 * 0.28%* Amean syst-24 1755.20 ( 0.00%) 1735.53 * 1.12%* Amean elsp-24 601.60 ( 0.00%) 600.19 ( 0.23%) Amean user-48 12362.62 ( 0.00%) 12315.56 * 0.38%* Amean syst-48 1921.59 ( 0.00%) 1894.95 * 1.39%* Amean elsp-48 334.10 ( 0.00%) 332.82 * 0.38%* Amean user-96 12925.27 ( 0.00%) 12922.63 ( 0.02%) Amean syst-96 2146.66 ( 0.00%) 2122.20 * 1.14%* Amean elsp-96 211.96 ( 0.00%) 211.79 ( 0.08%) Note this patch isn't an universal win, it might hurt those workload which can benefit from packing. Though tasks which want to take advantages of lower communication latency of one cluster won't necessarily been packed in one cluster while kernel is not aware of clusters, they have some chance to be randomly packed. But this patch will make them more likely spread. Signed-off-by: Barry Song <song.bao.hua@hisilicon.com> Tested-by: Yicong Yang <yangyicong@hisilicon.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org>
2021-09-24 08:51:03 +00:00
#ifdef CONFIG_SCHED_CLUSTER
{ cpu_clustergroup_mask, cpu_cluster_flags, SD_INIT_NAME(CLS) },
#endif
#ifdef CONFIG_SCHED_MC
{ cpu_coregroup_mask, cpu_core_flags, SD_INIT_NAME(MC) },
#endif
{ cpu_cpu_mask, SD_INIT_NAME(PKG) },
{ NULL, },
};
static struct sched_domain_topology_level *sched_domain_topology =
default_topology;
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
static struct sched_domain_topology_level *sched_domain_topology_saved;
#define for_each_sd_topology(tl) \
for (tl = sched_domain_topology; tl->mask; tl++)
void __init set_sched_topology(struct sched_domain_topology_level *tl)
{
if (WARN_ON_ONCE(sched_smp_initialized))
return;
sched_domain_topology = tl;
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
sched_domain_topology_saved = NULL;
}
#ifdef CONFIG_NUMA
static const struct cpumask *sd_numa_mask(int cpu)
{
return sched_domains_numa_masks[sched_domains_curr_level][cpu_to_node(cpu)];
}
static void sched_numa_warn(const char *str)
{
static int done = false;
int i,j;
if (done)
return;
done = true;
printk(KERN_WARNING "ERROR: %s\n\n", str);
for (i = 0; i < nr_node_ids; i++) {
printk(KERN_WARNING " ");
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
for (j = 0; j < nr_node_ids; j++) {
if (!node_state(i, N_CPU) || !node_state(j, N_CPU))
printk(KERN_CONT "(%02d) ", node_distance(i,j));
else
printk(KERN_CONT " %02d ", node_distance(i,j));
}
printk(KERN_CONT "\n");
}
printk(KERN_WARNING "\n");
}
bool find_numa_distance(int distance)
{
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
bool found = false;
int i, *distances;
if (distance == node_distance(0, 0))
return true;
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
rcu_read_lock();
distances = rcu_dereference(sched_domains_numa_distance);
if (!distances)
goto unlock;
for (i = 0; i < sched_domains_numa_levels; i++) {
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
if (distances[i] == distance) {
found = true;
break;
}
}
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
unlock:
rcu_read_unlock();
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
return found;
}
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
#define for_each_cpu_node_but(n, nbut) \
for_each_node_state(n, N_CPU) \
if (n == nbut) \
continue; \
else
/*
* A system can have three types of NUMA topology:
* NUMA_DIRECT: all nodes are directly connected, or not a NUMA system
* NUMA_GLUELESS_MESH: some nodes reachable through intermediary nodes
* NUMA_BACKPLANE: nodes can reach other nodes through a backplane
*
* The difference between a glueless mesh topology and a backplane
* topology lies in whether communication between not directly
* connected nodes goes through intermediary nodes (where programs
* could run), or through backplane controllers. This affects
* placement of programs.
*
* The type of topology can be discerned with the following tests:
* - If the maximum distance between any nodes is 1 hop, the system
* is directly connected.
* - If for two nodes A and B, located N > 1 hops away from each other,
* there is an intermediary node C, which is < N hops away from both
* nodes A and B, the system is a glueless mesh.
*/
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
static void init_numa_topology_type(int offline_node)
{
int a, b, c, n;
n = sched_max_numa_distance;
if (sched_domains_numa_levels <= 2) {
sched_numa_topology_type = NUMA_DIRECT;
return;
}
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
for_each_cpu_node_but(a, offline_node) {
for_each_cpu_node_but(b, offline_node) {
/* Find two nodes furthest removed from each other. */
if (node_distance(a, b) < n)
continue;
/* Is there an intermediary node between a and b? */
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
for_each_cpu_node_but(c, offline_node) {
if (node_distance(a, c) < n &&
node_distance(b, c) < n) {
sched_numa_topology_type =
NUMA_GLUELESS_MESH;
return;
}
}
sched_numa_topology_type = NUMA_BACKPLANE;
return;
}
}
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
pr_err("Failed to find a NUMA topology type, defaulting to DIRECT\n");
sched_numa_topology_type = NUMA_DIRECT;
}
sched/topology: Make sched_init_numa() use a set for the deduplicating sort The deduplicating sort in sched_init_numa() assumes that the first line in the distance table contains all unique values in the entire table. I've been trying to pen what this exactly means for the topology, but it's not straightforward. For instance, topology.c uses this example: node 0 1 2 3 0: 10 20 20 30 1: 20 10 20 20 2: 20 20 10 20 3: 30 20 20 10 0 ----- 1 | / | | / | | / | 2 ----- 3 Which works out just fine. However, if we swap nodes 0 and 1: 1 ----- 0 | / | | / | | / | 2 ----- 3 we get this distance table: node 0 1 2 3 0: 10 20 20 20 1: 20 10 20 30 2: 20 20 10 20 3: 20 30 20 10 Which breaks the deduplicating sort (non-representative first line). In this case this would just be a renumbering exercise, but it so happens that we can have a deduplicating sort that goes through the whole table in O(n²) at the extra cost of a temporary memory allocation (i.e. any form of set). The ACPI spec (SLIT) mentions distances are encoded on 8 bits. Following this, implement the set as a 256-bits bitmap. Should this not be satisfactory (i.e. we want to support 32-bit values), then we'll have to go for some other sparse set implementation. This has the added benefit of letting us allocate just the right amount of memory for sched_domains_numa_distance[], rather than an arbitrary (nr_node_ids + 1). Note: DT binding equivalent (distance-map) decodes distances as 32-bit values. Signed-off-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20210122123943.1217-2-valentin.schneider@arm.com
2021-01-22 12:39:43 +00:00
#define NR_DISTANCE_VALUES (1 << DISTANCE_BITS)
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
void sched_init_numa(int offline_node)
{
struct sched_domain_topology_level *tl;
sched/topology: Make sched_init_numa() use a set for the deduplicating sort The deduplicating sort in sched_init_numa() assumes that the first line in the distance table contains all unique values in the entire table. I've been trying to pen what this exactly means for the topology, but it's not straightforward. For instance, topology.c uses this example: node 0 1 2 3 0: 10 20 20 30 1: 20 10 20 20 2: 20 20 10 20 3: 30 20 20 10 0 ----- 1 | / | | / | | / | 2 ----- 3 Which works out just fine. However, if we swap nodes 0 and 1: 1 ----- 0 | / | | / | | / | 2 ----- 3 we get this distance table: node 0 1 2 3 0: 10 20 20 20 1: 20 10 20 30 2: 20 20 10 20 3: 20 30 20 10 Which breaks the deduplicating sort (non-representative first line). In this case this would just be a renumbering exercise, but it so happens that we can have a deduplicating sort that goes through the whole table in O(n²) at the extra cost of a temporary memory allocation (i.e. any form of set). The ACPI spec (SLIT) mentions distances are encoded on 8 bits. Following this, implement the set as a 256-bits bitmap. Should this not be satisfactory (i.e. we want to support 32-bit values), then we'll have to go for some other sparse set implementation. This has the added benefit of letting us allocate just the right amount of memory for sched_domains_numa_distance[], rather than an arbitrary (nr_node_ids + 1). Note: DT binding equivalent (distance-map) decodes distances as 32-bit values. Signed-off-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20210122123943.1217-2-valentin.schneider@arm.com
2021-01-22 12:39:43 +00:00
unsigned long *distance_map;
int nr_levels = 0;
int i, j;
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
int *distances;
struct cpumask ***masks;
sched/topology: Introduce NUMA identity node sched domain On AMD Family17h-based (EPYC) system, a logical NUMA node can contain upto 8 cores (16 threads) with the following topology. ---------------------------- C0 | T0 T1 | || | T0 T1 | C4 --------| || |-------- C1 | T0 T1 | L3 || L3 | T0 T1 | C5 --------| || |-------- C2 | T0 T1 | #0 || #1 | T0 T1 | C6 --------| || |-------- C3 | T0 T1 | || | T0 T1 | C7 ---------------------------- Here, there are 2 last-level (L3) caches per logical NUMA node. A socket can contain upto 4 NUMA nodes, and a system can support upto 2 sockets. With full system configuration, current scheduler creates 4 sched domains: domain0 SMT (span a core) domain1 MC (span a last-level-cache) domain2 NUMA (span a socket: 4 nodes) domain3 NUMA (span a system: 8 nodes) Note that there is no domain to represent cpus spaning a logical NUMA node. With this hierarchy of sched domains, the scheduler does not balance properly in the following cases: Case1: When running 8 tasks, a properly balanced system should schedule a task per logical NUMA node. This is not the case for the current scheduler. Case2: In some cases, threads are scheduled on the same cpu, while other cpus are idle. This results in run-to-run inconsistency. For example: taskset -c 0-7 sysbench --num-threads=8 --test=cpu \ --cpu-max-prime=100000 run Total execution time ranges from 25.1s to 33.5s depending on threads placement, where 25.1s is when all 8 threads are balanced properly on 8 cpus. Introducing NUMA identity node sched domain, which is based on how SRAT/SLIT table define a logical NUMA node. This results in the following hierarchy of sched domains on the same system described above. domain0 SMT (span a core) domain1 MC (span a last-level-cache) domain2 NODE (span a logical NUMA node) domain3 NUMA (span a socket: 4 nodes) domain4 NUMA (span a system: 8 nodes) This fixes the improper load balancing cases mentioned above. Signed-off-by: Suravee Suthikulpanit <suravee.suthikulpanit@amd.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: bp@suse.de Link: http://lkml.kernel.org/r/1504768805-46716-1-git-send-email-suravee.suthikulpanit@amd.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2017-09-07 07:20:05 +00:00
/*
* O(nr_nodes^2) deduplicating selection sort -- in order to find the
* unique distances in the node_distance() table.
*/
sched/topology: Make sched_init_numa() use a set for the deduplicating sort The deduplicating sort in sched_init_numa() assumes that the first line in the distance table contains all unique values in the entire table. I've been trying to pen what this exactly means for the topology, but it's not straightforward. For instance, topology.c uses this example: node 0 1 2 3 0: 10 20 20 30 1: 20 10 20 20 2: 20 20 10 20 3: 30 20 20 10 0 ----- 1 | / | | / | | / | 2 ----- 3 Which works out just fine. However, if we swap nodes 0 and 1: 1 ----- 0 | / | | / | | / | 2 ----- 3 we get this distance table: node 0 1 2 3 0: 10 20 20 20 1: 20 10 20 30 2: 20 20 10 20 3: 20 30 20 10 Which breaks the deduplicating sort (non-representative first line). In this case this would just be a renumbering exercise, but it so happens that we can have a deduplicating sort that goes through the whole table in O(n²) at the extra cost of a temporary memory allocation (i.e. any form of set). The ACPI spec (SLIT) mentions distances are encoded on 8 bits. Following this, implement the set as a 256-bits bitmap. Should this not be satisfactory (i.e. we want to support 32-bit values), then we'll have to go for some other sparse set implementation. This has the added benefit of letting us allocate just the right amount of memory for sched_domains_numa_distance[], rather than an arbitrary (nr_node_ids + 1). Note: DT binding equivalent (distance-map) decodes distances as 32-bit values. Signed-off-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20210122123943.1217-2-valentin.schneider@arm.com
2021-01-22 12:39:43 +00:00
distance_map = bitmap_alloc(NR_DISTANCE_VALUES, GFP_KERNEL);
if (!distance_map)
return;
bitmap_zero(distance_map, NR_DISTANCE_VALUES);
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
for_each_cpu_node_but(i, offline_node) {
for_each_cpu_node_but(j, offline_node) {
sched/topology: Make sched_init_numa() use a set for the deduplicating sort The deduplicating sort in sched_init_numa() assumes that the first line in the distance table contains all unique values in the entire table. I've been trying to pen what this exactly means for the topology, but it's not straightforward. For instance, topology.c uses this example: node 0 1 2 3 0: 10 20 20 30 1: 20 10 20 20 2: 20 20 10 20 3: 30 20 20 10 0 ----- 1 | / | | / | | / | 2 ----- 3 Which works out just fine. However, if we swap nodes 0 and 1: 1 ----- 0 | / | | / | | / | 2 ----- 3 we get this distance table: node 0 1 2 3 0: 10 20 20 20 1: 20 10 20 30 2: 20 20 10 20 3: 20 30 20 10 Which breaks the deduplicating sort (non-representative first line). In this case this would just be a renumbering exercise, but it so happens that we can have a deduplicating sort that goes through the whole table in O(n²) at the extra cost of a temporary memory allocation (i.e. any form of set). The ACPI spec (SLIT) mentions distances are encoded on 8 bits. Following this, implement the set as a 256-bits bitmap. Should this not be satisfactory (i.e. we want to support 32-bit values), then we'll have to go for some other sparse set implementation. This has the added benefit of letting us allocate just the right amount of memory for sched_domains_numa_distance[], rather than an arbitrary (nr_node_ids + 1). Note: DT binding equivalent (distance-map) decodes distances as 32-bit values. Signed-off-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20210122123943.1217-2-valentin.schneider@arm.com
2021-01-22 12:39:43 +00:00
int distance = node_distance(i, j);
sched/topology: Make sched_init_numa() use a set for the deduplicating sort The deduplicating sort in sched_init_numa() assumes that the first line in the distance table contains all unique values in the entire table. I've been trying to pen what this exactly means for the topology, but it's not straightforward. For instance, topology.c uses this example: node 0 1 2 3 0: 10 20 20 30 1: 20 10 20 20 2: 20 20 10 20 3: 30 20 20 10 0 ----- 1 | / | | / | | / | 2 ----- 3 Which works out just fine. However, if we swap nodes 0 and 1: 1 ----- 0 | / | | / | | / | 2 ----- 3 we get this distance table: node 0 1 2 3 0: 10 20 20 20 1: 20 10 20 30 2: 20 20 10 20 3: 20 30 20 10 Which breaks the deduplicating sort (non-representative first line). In this case this would just be a renumbering exercise, but it so happens that we can have a deduplicating sort that goes through the whole table in O(n²) at the extra cost of a temporary memory allocation (i.e. any form of set). The ACPI spec (SLIT) mentions distances are encoded on 8 bits. Following this, implement the set as a 256-bits bitmap. Should this not be satisfactory (i.e. we want to support 32-bit values), then we'll have to go for some other sparse set implementation. This has the added benefit of letting us allocate just the right amount of memory for sched_domains_numa_distance[], rather than an arbitrary (nr_node_ids + 1). Note: DT binding equivalent (distance-map) decodes distances as 32-bit values. Signed-off-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20210122123943.1217-2-valentin.schneider@arm.com
2021-01-22 12:39:43 +00:00
if (distance < LOCAL_DISTANCE || distance >= NR_DISTANCE_VALUES) {
sched_numa_warn("Invalid distance value range");
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
bitmap_free(distance_map);
sched/topology: Make sched_init_numa() use a set for the deduplicating sort The deduplicating sort in sched_init_numa() assumes that the first line in the distance table contains all unique values in the entire table. I've been trying to pen what this exactly means for the topology, but it's not straightforward. For instance, topology.c uses this example: node 0 1 2 3 0: 10 20 20 30 1: 20 10 20 20 2: 20 20 10 20 3: 30 20 20 10 0 ----- 1 | / | | / | | / | 2 ----- 3 Which works out just fine. However, if we swap nodes 0 and 1: 1 ----- 0 | / | | / | | / | 2 ----- 3 we get this distance table: node 0 1 2 3 0: 10 20 20 20 1: 20 10 20 30 2: 20 20 10 20 3: 20 30 20 10 Which breaks the deduplicating sort (non-representative first line). In this case this would just be a renumbering exercise, but it so happens that we can have a deduplicating sort that goes through the whole table in O(n²) at the extra cost of a temporary memory allocation (i.e. any form of set). The ACPI spec (SLIT) mentions distances are encoded on 8 bits. Following this, implement the set as a 256-bits bitmap. Should this not be satisfactory (i.e. we want to support 32-bit values), then we'll have to go for some other sparse set implementation. This has the added benefit of letting us allocate just the right amount of memory for sched_domains_numa_distance[], rather than an arbitrary (nr_node_ids + 1). Note: DT binding equivalent (distance-map) decodes distances as 32-bit values. Signed-off-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20210122123943.1217-2-valentin.schneider@arm.com
2021-01-22 12:39:43 +00:00
return;
}
sched/topology: Make sched_init_numa() use a set for the deduplicating sort The deduplicating sort in sched_init_numa() assumes that the first line in the distance table contains all unique values in the entire table. I've been trying to pen what this exactly means for the topology, but it's not straightforward. For instance, topology.c uses this example: node 0 1 2 3 0: 10 20 20 30 1: 20 10 20 20 2: 20 20 10 20 3: 30 20 20 10 0 ----- 1 | / | | / | | / | 2 ----- 3 Which works out just fine. However, if we swap nodes 0 and 1: 1 ----- 0 | / | | / | | / | 2 ----- 3 we get this distance table: node 0 1 2 3 0: 10 20 20 20 1: 20 10 20 30 2: 20 20 10 20 3: 20 30 20 10 Which breaks the deduplicating sort (non-representative first line). In this case this would just be a renumbering exercise, but it so happens that we can have a deduplicating sort that goes through the whole table in O(n²) at the extra cost of a temporary memory allocation (i.e. any form of set). The ACPI spec (SLIT) mentions distances are encoded on 8 bits. Following this, implement the set as a 256-bits bitmap. Should this not be satisfactory (i.e. we want to support 32-bit values), then we'll have to go for some other sparse set implementation. This has the added benefit of letting us allocate just the right amount of memory for sched_domains_numa_distance[], rather than an arbitrary (nr_node_ids + 1). Note: DT binding equivalent (distance-map) decodes distances as 32-bit values. Signed-off-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20210122123943.1217-2-valentin.schneider@arm.com
2021-01-22 12:39:43 +00:00
bitmap_set(distance_map, distance, 1);
}
sched/topology: Make sched_init_numa() use a set for the deduplicating sort The deduplicating sort in sched_init_numa() assumes that the first line in the distance table contains all unique values in the entire table. I've been trying to pen what this exactly means for the topology, but it's not straightforward. For instance, topology.c uses this example: node 0 1 2 3 0: 10 20 20 30 1: 20 10 20 20 2: 20 20 10 20 3: 30 20 20 10 0 ----- 1 | / | | / | | / | 2 ----- 3 Which works out just fine. However, if we swap nodes 0 and 1: 1 ----- 0 | / | | / | | / | 2 ----- 3 we get this distance table: node 0 1 2 3 0: 10 20 20 20 1: 20 10 20 30 2: 20 20 10 20 3: 20 30 20 10 Which breaks the deduplicating sort (non-representative first line). In this case this would just be a renumbering exercise, but it so happens that we can have a deduplicating sort that goes through the whole table in O(n²) at the extra cost of a temporary memory allocation (i.e. any form of set). The ACPI spec (SLIT) mentions distances are encoded on 8 bits. Following this, implement the set as a 256-bits bitmap. Should this not be satisfactory (i.e. we want to support 32-bit values), then we'll have to go for some other sparse set implementation. This has the added benefit of letting us allocate just the right amount of memory for sched_domains_numa_distance[], rather than an arbitrary (nr_node_ids + 1). Note: DT binding equivalent (distance-map) decodes distances as 32-bit values. Signed-off-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20210122123943.1217-2-valentin.schneider@arm.com
2021-01-22 12:39:43 +00:00
}
/*
* We can now figure out how many unique distance values there are and
* allocate memory accordingly.
*/
nr_levels = bitmap_weight(distance_map, NR_DISTANCE_VALUES);
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
distances = kcalloc(nr_levels, sizeof(int), GFP_KERNEL);
if (!distances) {
sched/topology: Make sched_init_numa() use a set for the deduplicating sort The deduplicating sort in sched_init_numa() assumes that the first line in the distance table contains all unique values in the entire table. I've been trying to pen what this exactly means for the topology, but it's not straightforward. For instance, topology.c uses this example: node 0 1 2 3 0: 10 20 20 30 1: 20 10 20 20 2: 20 20 10 20 3: 30 20 20 10 0 ----- 1 | / | | / | | / | 2 ----- 3 Which works out just fine. However, if we swap nodes 0 and 1: 1 ----- 0 | / | | / | | / | 2 ----- 3 we get this distance table: node 0 1 2 3 0: 10 20 20 20 1: 20 10 20 30 2: 20 20 10 20 3: 20 30 20 10 Which breaks the deduplicating sort (non-representative first line). In this case this would just be a renumbering exercise, but it so happens that we can have a deduplicating sort that goes through the whole table in O(n²) at the extra cost of a temporary memory allocation (i.e. any form of set). The ACPI spec (SLIT) mentions distances are encoded on 8 bits. Following this, implement the set as a 256-bits bitmap. Should this not be satisfactory (i.e. we want to support 32-bit values), then we'll have to go for some other sparse set implementation. This has the added benefit of letting us allocate just the right amount of memory for sched_domains_numa_distance[], rather than an arbitrary (nr_node_ids + 1). Note: DT binding equivalent (distance-map) decodes distances as 32-bit values. Signed-off-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20210122123943.1217-2-valentin.schneider@arm.com
2021-01-22 12:39:43 +00:00
bitmap_free(distance_map);
return;
}
sched/topology: Make sched_init_numa() use a set for the deduplicating sort The deduplicating sort in sched_init_numa() assumes that the first line in the distance table contains all unique values in the entire table. I've been trying to pen what this exactly means for the topology, but it's not straightforward. For instance, topology.c uses this example: node 0 1 2 3 0: 10 20 20 30 1: 20 10 20 20 2: 20 20 10 20 3: 30 20 20 10 0 ----- 1 | / | | / | | / | 2 ----- 3 Which works out just fine. However, if we swap nodes 0 and 1: 1 ----- 0 | / | | / | | / | 2 ----- 3 we get this distance table: node 0 1 2 3 0: 10 20 20 20 1: 20 10 20 30 2: 20 20 10 20 3: 20 30 20 10 Which breaks the deduplicating sort (non-representative first line). In this case this would just be a renumbering exercise, but it so happens that we can have a deduplicating sort that goes through the whole table in O(n²) at the extra cost of a temporary memory allocation (i.e. any form of set). The ACPI spec (SLIT) mentions distances are encoded on 8 bits. Following this, implement the set as a 256-bits bitmap. Should this not be satisfactory (i.e. we want to support 32-bit values), then we'll have to go for some other sparse set implementation. This has the added benefit of letting us allocate just the right amount of memory for sched_domains_numa_distance[], rather than an arbitrary (nr_node_ids + 1). Note: DT binding equivalent (distance-map) decodes distances as 32-bit values. Signed-off-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20210122123943.1217-2-valentin.schneider@arm.com
2021-01-22 12:39:43 +00:00
for (i = 0, j = 0; i < nr_levels; i++, j++) {
j = find_next_bit(distance_map, NR_DISTANCE_VALUES, j);
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
distances[i] = j;
sched/topology: Make sched_init_numa() use a set for the deduplicating sort The deduplicating sort in sched_init_numa() assumes that the first line in the distance table contains all unique values in the entire table. I've been trying to pen what this exactly means for the topology, but it's not straightforward. For instance, topology.c uses this example: node 0 1 2 3 0: 10 20 20 30 1: 20 10 20 20 2: 20 20 10 20 3: 30 20 20 10 0 ----- 1 | / | | / | | / | 2 ----- 3 Which works out just fine. However, if we swap nodes 0 and 1: 1 ----- 0 | / | | / | | / | 2 ----- 3 we get this distance table: node 0 1 2 3 0: 10 20 20 20 1: 20 10 20 30 2: 20 20 10 20 3: 20 30 20 10 Which breaks the deduplicating sort (non-representative first line). In this case this would just be a renumbering exercise, but it so happens that we can have a deduplicating sort that goes through the whole table in O(n²) at the extra cost of a temporary memory allocation (i.e. any form of set). The ACPI spec (SLIT) mentions distances are encoded on 8 bits. Following this, implement the set as a 256-bits bitmap. Should this not be satisfactory (i.e. we want to support 32-bit values), then we'll have to go for some other sparse set implementation. This has the added benefit of letting us allocate just the right amount of memory for sched_domains_numa_distance[], rather than an arbitrary (nr_node_ids + 1). Note: DT binding equivalent (distance-map) decodes distances as 32-bit values. Signed-off-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20210122123943.1217-2-valentin.schneider@arm.com
2021-01-22 12:39:43 +00:00
}
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
rcu_assign_pointer(sched_domains_numa_distance, distances);
sched/topology: Make sched_init_numa() use a set for the deduplicating sort The deduplicating sort in sched_init_numa() assumes that the first line in the distance table contains all unique values in the entire table. I've been trying to pen what this exactly means for the topology, but it's not straightforward. For instance, topology.c uses this example: node 0 1 2 3 0: 10 20 20 30 1: 20 10 20 20 2: 20 20 10 20 3: 30 20 20 10 0 ----- 1 | / | | / | | / | 2 ----- 3 Which works out just fine. However, if we swap nodes 0 and 1: 1 ----- 0 | / | | / | | / | 2 ----- 3 we get this distance table: node 0 1 2 3 0: 10 20 20 20 1: 20 10 20 30 2: 20 20 10 20 3: 20 30 20 10 Which breaks the deduplicating sort (non-representative first line). In this case this would just be a renumbering exercise, but it so happens that we can have a deduplicating sort that goes through the whole table in O(n²) at the extra cost of a temporary memory allocation (i.e. any form of set). The ACPI spec (SLIT) mentions distances are encoded on 8 bits. Following this, implement the set as a 256-bits bitmap. Should this not be satisfactory (i.e. we want to support 32-bit values), then we'll have to go for some other sparse set implementation. This has the added benefit of letting us allocate just the right amount of memory for sched_domains_numa_distance[], rather than an arbitrary (nr_node_ids + 1). Note: DT binding equivalent (distance-map) decodes distances as 32-bit values. Signed-off-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20210122123943.1217-2-valentin.schneider@arm.com
2021-01-22 12:39:43 +00:00
bitmap_free(distance_map);
/*
sched/topology: Make sched_init_numa() use a set for the deduplicating sort The deduplicating sort in sched_init_numa() assumes that the first line in the distance table contains all unique values in the entire table. I've been trying to pen what this exactly means for the topology, but it's not straightforward. For instance, topology.c uses this example: node 0 1 2 3 0: 10 20 20 30 1: 20 10 20 20 2: 20 20 10 20 3: 30 20 20 10 0 ----- 1 | / | | / | | / | 2 ----- 3 Which works out just fine. However, if we swap nodes 0 and 1: 1 ----- 0 | / | | / | | / | 2 ----- 3 we get this distance table: node 0 1 2 3 0: 10 20 20 20 1: 20 10 20 30 2: 20 20 10 20 3: 20 30 20 10 Which breaks the deduplicating sort (non-representative first line). In this case this would just be a renumbering exercise, but it so happens that we can have a deduplicating sort that goes through the whole table in O(n²) at the extra cost of a temporary memory allocation (i.e. any form of set). The ACPI spec (SLIT) mentions distances are encoded on 8 bits. Following this, implement the set as a 256-bits bitmap. Should this not be satisfactory (i.e. we want to support 32-bit values), then we'll have to go for some other sparse set implementation. This has the added benefit of letting us allocate just the right amount of memory for sched_domains_numa_distance[], rather than an arbitrary (nr_node_ids + 1). Note: DT binding equivalent (distance-map) decodes distances as 32-bit values. Signed-off-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20210122123943.1217-2-valentin.schneider@arm.com
2021-01-22 12:39:43 +00:00
* 'nr_levels' contains the number of unique distances
*
* The sched_domains_numa_distance[] array includes the actual distance
* numbers.
*/
/*
* Here, we should temporarily reset sched_domains_numa_levels to 0.
* If it fails to allocate memory for array sched_domains_numa_masks[][],
sched/topology: Make sched_init_numa() use a set for the deduplicating sort The deduplicating sort in sched_init_numa() assumes that the first line in the distance table contains all unique values in the entire table. I've been trying to pen what this exactly means for the topology, but it's not straightforward. For instance, topology.c uses this example: node 0 1 2 3 0: 10 20 20 30 1: 20 10 20 20 2: 20 20 10 20 3: 30 20 20 10 0 ----- 1 | / | | / | | / | 2 ----- 3 Which works out just fine. However, if we swap nodes 0 and 1: 1 ----- 0 | / | | / | | / | 2 ----- 3 we get this distance table: node 0 1 2 3 0: 10 20 20 20 1: 20 10 20 30 2: 20 20 10 20 3: 20 30 20 10 Which breaks the deduplicating sort (non-representative first line). In this case this would just be a renumbering exercise, but it so happens that we can have a deduplicating sort that goes through the whole table in O(n²) at the extra cost of a temporary memory allocation (i.e. any form of set). The ACPI spec (SLIT) mentions distances are encoded on 8 bits. Following this, implement the set as a 256-bits bitmap. Should this not be satisfactory (i.e. we want to support 32-bit values), then we'll have to go for some other sparse set implementation. This has the added benefit of letting us allocate just the right amount of memory for sched_domains_numa_distance[], rather than an arbitrary (nr_node_ids + 1). Note: DT binding equivalent (distance-map) decodes distances as 32-bit values. Signed-off-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20210122123943.1217-2-valentin.schneider@arm.com
2021-01-22 12:39:43 +00:00
* the array will contain less then 'nr_levels' members. This could be
* dangerous when we use it to iterate array sched_domains_numa_masks[][]
* in other functions.
*
sched/topology: Make sched_init_numa() use a set for the deduplicating sort The deduplicating sort in sched_init_numa() assumes that the first line in the distance table contains all unique values in the entire table. I've been trying to pen what this exactly means for the topology, but it's not straightforward. For instance, topology.c uses this example: node 0 1 2 3 0: 10 20 20 30 1: 20 10 20 20 2: 20 20 10 20 3: 30 20 20 10 0 ----- 1 | / | | / | | / | 2 ----- 3 Which works out just fine. However, if we swap nodes 0 and 1: 1 ----- 0 | / | | / | | / | 2 ----- 3 we get this distance table: node 0 1 2 3 0: 10 20 20 20 1: 20 10 20 30 2: 20 20 10 20 3: 20 30 20 10 Which breaks the deduplicating sort (non-representative first line). In this case this would just be a renumbering exercise, but it so happens that we can have a deduplicating sort that goes through the whole table in O(n²) at the extra cost of a temporary memory allocation (i.e. any form of set). The ACPI spec (SLIT) mentions distances are encoded on 8 bits. Following this, implement the set as a 256-bits bitmap. Should this not be satisfactory (i.e. we want to support 32-bit values), then we'll have to go for some other sparse set implementation. This has the added benefit of letting us allocate just the right amount of memory for sched_domains_numa_distance[], rather than an arbitrary (nr_node_ids + 1). Note: DT binding equivalent (distance-map) decodes distances as 32-bit values. Signed-off-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20210122123943.1217-2-valentin.schneider@arm.com
2021-01-22 12:39:43 +00:00
* We reset it to 'nr_levels' at the end of this function.
*/
sched_domains_numa_levels = 0;
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
masks = kzalloc(sizeof(void *) * nr_levels, GFP_KERNEL);
if (!masks)
return;
/*
* Now for each level, construct a mask per node which contains all
* CPUs of nodes that are that many hops away from us.
*/
sched/topology: Make sched_init_numa() use a set for the deduplicating sort The deduplicating sort in sched_init_numa() assumes that the first line in the distance table contains all unique values in the entire table. I've been trying to pen what this exactly means for the topology, but it's not straightforward. For instance, topology.c uses this example: node 0 1 2 3 0: 10 20 20 30 1: 20 10 20 20 2: 20 20 10 20 3: 30 20 20 10 0 ----- 1 | / | | / | | / | 2 ----- 3 Which works out just fine. However, if we swap nodes 0 and 1: 1 ----- 0 | / | | / | | / | 2 ----- 3 we get this distance table: node 0 1 2 3 0: 10 20 20 20 1: 20 10 20 30 2: 20 20 10 20 3: 20 30 20 10 Which breaks the deduplicating sort (non-representative first line). In this case this would just be a renumbering exercise, but it so happens that we can have a deduplicating sort that goes through the whole table in O(n²) at the extra cost of a temporary memory allocation (i.e. any form of set). The ACPI spec (SLIT) mentions distances are encoded on 8 bits. Following this, implement the set as a 256-bits bitmap. Should this not be satisfactory (i.e. we want to support 32-bit values), then we'll have to go for some other sparse set implementation. This has the added benefit of letting us allocate just the right amount of memory for sched_domains_numa_distance[], rather than an arbitrary (nr_node_ids + 1). Note: DT binding equivalent (distance-map) decodes distances as 32-bit values. Signed-off-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20210122123943.1217-2-valentin.schneider@arm.com
2021-01-22 12:39:43 +00:00
for (i = 0; i < nr_levels; i++) {
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
masks[i] = kzalloc(nr_node_ids * sizeof(void *), GFP_KERNEL);
if (!masks[i])
return;
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
for_each_cpu_node_but(j, offline_node) {
struct cpumask *mask = kzalloc(cpumask_size(), GFP_KERNEL);
sched/topology: Make sched_init_numa() use a set for the deduplicating sort The deduplicating sort in sched_init_numa() assumes that the first line in the distance table contains all unique values in the entire table. I've been trying to pen what this exactly means for the topology, but it's not straightforward. For instance, topology.c uses this example: node 0 1 2 3 0: 10 20 20 30 1: 20 10 20 20 2: 20 20 10 20 3: 30 20 20 10 0 ----- 1 | / | | / | | / | 2 ----- 3 Which works out just fine. However, if we swap nodes 0 and 1: 1 ----- 0 | / | | / | | / | 2 ----- 3 we get this distance table: node 0 1 2 3 0: 10 20 20 20 1: 20 10 20 30 2: 20 20 10 20 3: 20 30 20 10 Which breaks the deduplicating sort (non-representative first line). In this case this would just be a renumbering exercise, but it so happens that we can have a deduplicating sort that goes through the whole table in O(n²) at the extra cost of a temporary memory allocation (i.e. any form of set). The ACPI spec (SLIT) mentions distances are encoded on 8 bits. Following this, implement the set as a 256-bits bitmap. Should this not be satisfactory (i.e. we want to support 32-bit values), then we'll have to go for some other sparse set implementation. This has the added benefit of letting us allocate just the right amount of memory for sched_domains_numa_distance[], rather than an arbitrary (nr_node_ids + 1). Note: DT binding equivalent (distance-map) decodes distances as 32-bit values. Signed-off-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20210122123943.1217-2-valentin.schneider@arm.com
2021-01-22 12:39:43 +00:00
int k;
if (!mask)
return;
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
masks[i][j] = mask;
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
for_each_cpu_node_but(k, offline_node) {
sched/topology: Make sched_init_numa() use a set for the deduplicating sort The deduplicating sort in sched_init_numa() assumes that the first line in the distance table contains all unique values in the entire table. I've been trying to pen what this exactly means for the topology, but it's not straightforward. For instance, topology.c uses this example: node 0 1 2 3 0: 10 20 20 30 1: 20 10 20 20 2: 20 20 10 20 3: 30 20 20 10 0 ----- 1 | / | | / | | / | 2 ----- 3 Which works out just fine. However, if we swap nodes 0 and 1: 1 ----- 0 | / | | / | | / | 2 ----- 3 we get this distance table: node 0 1 2 3 0: 10 20 20 20 1: 20 10 20 30 2: 20 20 10 20 3: 20 30 20 10 Which breaks the deduplicating sort (non-representative first line). In this case this would just be a renumbering exercise, but it so happens that we can have a deduplicating sort that goes through the whole table in O(n²) at the extra cost of a temporary memory allocation (i.e. any form of set). The ACPI spec (SLIT) mentions distances are encoded on 8 bits. Following this, implement the set as a 256-bits bitmap. Should this not be satisfactory (i.e. we want to support 32-bit values), then we'll have to go for some other sparse set implementation. This has the added benefit of letting us allocate just the right amount of memory for sched_domains_numa_distance[], rather than an arbitrary (nr_node_ids + 1). Note: DT binding equivalent (distance-map) decodes distances as 32-bit values. Signed-off-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20210122123943.1217-2-valentin.schneider@arm.com
2021-01-22 12:39:43 +00:00
if (sched_debug() && (node_distance(j, k) != node_distance(k, j)))
sched_numa_warn("Node-distance not symmetric");
if (node_distance(j, k) > sched_domains_numa_distance[i])
continue;
cpumask_or(mask, mask, cpumask_of_node(k));
}
}
}
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
rcu_assign_pointer(sched_domains_numa_masks, masks);
/* Compute default topology size */
for (i = 0; sched_domain_topology[i].mask; i++);
tl = kzalloc((i + nr_levels + 1) *
sizeof(struct sched_domain_topology_level), GFP_KERNEL);
if (!tl)
return;
/*
* Copy the default topology bits..
*/
for (i = 0; sched_domain_topology[i].mask; i++)
tl[i] = sched_domain_topology[i];
sched/topology: Introduce NUMA identity node sched domain On AMD Family17h-based (EPYC) system, a logical NUMA node can contain upto 8 cores (16 threads) with the following topology. ---------------------------- C0 | T0 T1 | || | T0 T1 | C4 --------| || |-------- C1 | T0 T1 | L3 || L3 | T0 T1 | C5 --------| || |-------- C2 | T0 T1 | #0 || #1 | T0 T1 | C6 --------| || |-------- C3 | T0 T1 | || | T0 T1 | C7 ---------------------------- Here, there are 2 last-level (L3) caches per logical NUMA node. A socket can contain upto 4 NUMA nodes, and a system can support upto 2 sockets. With full system configuration, current scheduler creates 4 sched domains: domain0 SMT (span a core) domain1 MC (span a last-level-cache) domain2 NUMA (span a socket: 4 nodes) domain3 NUMA (span a system: 8 nodes) Note that there is no domain to represent cpus spaning a logical NUMA node. With this hierarchy of sched domains, the scheduler does not balance properly in the following cases: Case1: When running 8 tasks, a properly balanced system should schedule a task per logical NUMA node. This is not the case for the current scheduler. Case2: In some cases, threads are scheduled on the same cpu, while other cpus are idle. This results in run-to-run inconsistency. For example: taskset -c 0-7 sysbench --num-threads=8 --test=cpu \ --cpu-max-prime=100000 run Total execution time ranges from 25.1s to 33.5s depending on threads placement, where 25.1s is when all 8 threads are balanced properly on 8 cpus. Introducing NUMA identity node sched domain, which is based on how SRAT/SLIT table define a logical NUMA node. This results in the following hierarchy of sched domains on the same system described above. domain0 SMT (span a core) domain1 MC (span a last-level-cache) domain2 NODE (span a logical NUMA node) domain3 NUMA (span a socket: 4 nodes) domain4 NUMA (span a system: 8 nodes) This fixes the improper load balancing cases mentioned above. Signed-off-by: Suravee Suthikulpanit <suravee.suthikulpanit@amd.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: bp@suse.de Link: http://lkml.kernel.org/r/1504768805-46716-1-git-send-email-suravee.suthikulpanit@amd.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2017-09-07 07:20:05 +00:00
/*
* Add the NUMA identity distance, aka single NODE.
*/
tl[i++] = (struct sched_domain_topology_level){
.mask = sd_numa_mask,
.numa_level = 0,
SD_INIT_NAME(NODE)
};
/*
* .. and append 'j' levels of NUMA goodness.
*/
sched/topology: Make sched_init_numa() use a set for the deduplicating sort The deduplicating sort in sched_init_numa() assumes that the first line in the distance table contains all unique values in the entire table. I've been trying to pen what this exactly means for the topology, but it's not straightforward. For instance, topology.c uses this example: node 0 1 2 3 0: 10 20 20 30 1: 20 10 20 20 2: 20 20 10 20 3: 30 20 20 10 0 ----- 1 | / | | / | | / | 2 ----- 3 Which works out just fine. However, if we swap nodes 0 and 1: 1 ----- 0 | / | | / | | / | 2 ----- 3 we get this distance table: node 0 1 2 3 0: 10 20 20 20 1: 20 10 20 30 2: 20 20 10 20 3: 20 30 20 10 Which breaks the deduplicating sort (non-representative first line). In this case this would just be a renumbering exercise, but it so happens that we can have a deduplicating sort that goes through the whole table in O(n²) at the extra cost of a temporary memory allocation (i.e. any form of set). The ACPI spec (SLIT) mentions distances are encoded on 8 bits. Following this, implement the set as a 256-bits bitmap. Should this not be satisfactory (i.e. we want to support 32-bit values), then we'll have to go for some other sparse set implementation. This has the added benefit of letting us allocate just the right amount of memory for sched_domains_numa_distance[], rather than an arbitrary (nr_node_ids + 1). Note: DT binding equivalent (distance-map) decodes distances as 32-bit values. Signed-off-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20210122123943.1217-2-valentin.schneider@arm.com
2021-01-22 12:39:43 +00:00
for (j = 1; j < nr_levels; i++, j++) {
tl[i] = (struct sched_domain_topology_level){
.mask = sd_numa_mask,
.sd_flags = cpu_numa_flags,
.flags = SDTL_OVERLAP,
.numa_level = j,
SD_INIT_NAME(NUMA)
};
}
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
sched_domain_topology_saved = sched_domain_topology;
sched_domain_topology = tl;
sched/topology: Make sched_init_numa() use a set for the deduplicating sort The deduplicating sort in sched_init_numa() assumes that the first line in the distance table contains all unique values in the entire table. I've been trying to pen what this exactly means for the topology, but it's not straightforward. For instance, topology.c uses this example: node 0 1 2 3 0: 10 20 20 30 1: 20 10 20 20 2: 20 20 10 20 3: 30 20 20 10 0 ----- 1 | / | | / | | / | 2 ----- 3 Which works out just fine. However, if we swap nodes 0 and 1: 1 ----- 0 | / | | / | | / | 2 ----- 3 we get this distance table: node 0 1 2 3 0: 10 20 20 20 1: 20 10 20 30 2: 20 20 10 20 3: 20 30 20 10 Which breaks the deduplicating sort (non-representative first line). In this case this would just be a renumbering exercise, but it so happens that we can have a deduplicating sort that goes through the whole table in O(n²) at the extra cost of a temporary memory allocation (i.e. any form of set). The ACPI spec (SLIT) mentions distances are encoded on 8 bits. Following this, implement the set as a 256-bits bitmap. Should this not be satisfactory (i.e. we want to support 32-bit values), then we'll have to go for some other sparse set implementation. This has the added benefit of letting us allocate just the right amount of memory for sched_domains_numa_distance[], rather than an arbitrary (nr_node_ids + 1). Note: DT binding equivalent (distance-map) decodes distances as 32-bit values. Signed-off-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20210122123943.1217-2-valentin.schneider@arm.com
2021-01-22 12:39:43 +00:00
sched_domains_numa_levels = nr_levels;
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
WRITE_ONCE(sched_max_numa_distance, sched_domains_numa_distance[nr_levels - 1]);
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
init_numa_topology_type(offline_node);
}
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
static void sched_reset_numa(void)
{
int nr_levels, *distances;
struct cpumask ***masks;
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
nr_levels = sched_domains_numa_levels;
sched_domains_numa_levels = 0;
sched_max_numa_distance = 0;
sched_numa_topology_type = NUMA_DIRECT;
distances = sched_domains_numa_distance;
rcu_assign_pointer(sched_domains_numa_distance, NULL);
masks = sched_domains_numa_masks;
rcu_assign_pointer(sched_domains_numa_masks, NULL);
if (distances || masks) {
int i, j;
synchronize_rcu();
kfree(distances);
for (i = 0; i < nr_levels && masks; i++) {
if (!masks[i])
continue;
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
for_each_node(j)
kfree(masks[i][j]);
kfree(masks[i]);
}
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
kfree(masks);
}
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
if (sched_domain_topology_saved) {
kfree(sched_domain_topology);
sched_domain_topology = sched_domain_topology_saved;
sched_domain_topology_saved = NULL;
}
}
/*
* Call with hotplug lock held
*/
void sched_update_numa(int cpu, bool online)
{
int node;
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
node = cpu_to_node(cpu);
/*
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
* Scheduler NUMA topology is updated when the first CPU of a
* node is onlined or the last CPU of a node is offlined.
*/
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
if (cpumask_weight(cpumask_of_node(node)) != 1)
return;
sched_reset_numa();
sched_init_numa(online ? NUMA_NO_NODE : node);
}
void sched_domains_numa_masks_set(unsigned int cpu)
{
int node = cpu_to_node(cpu);
int i, j;
for (i = 0; i < sched_domains_numa_levels; i++) {
for (j = 0; j < nr_node_ids; j++) {
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
if (!node_state(j, N_CPU))
continue;
/* Set ourselves in the remote node's masks */
if (node_distance(j, node) <= sched_domains_numa_distance[i])
cpumask_set_cpu(cpu, sched_domains_numa_masks[i][j]);
}
}
}
void sched_domains_numa_masks_clear(unsigned int cpu)
{
int i, j;
for (i = 0; i < sched_domains_numa_levels; i++) {
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
for (j = 0; j < nr_node_ids; j++) {
if (sched_domains_numa_masks[i][j])
cpumask_clear_cpu(cpu, sched_domains_numa_masks[i][j]);
}
}
}
/*
* sched_numa_find_closest() - given the NUMA topology, find the cpu
* closest to @cpu from @cpumask.
* cpumask: cpumask to find a cpu from
* cpu: cpu to be close to
*
* returns: cpu, or nr_cpu_ids when nothing found.
*/
int sched_numa_find_closest(const struct cpumask *cpus, int cpu)
{
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
int i, j = cpu_to_node(cpu), found = nr_cpu_ids;
struct cpumask ***masks;
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
rcu_read_lock();
masks = rcu_dereference(sched_domains_numa_masks);
if (!masks)
goto unlock;
for (i = 0; i < sched_domains_numa_levels; i++) {
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
if (!masks[i][j])
break;
cpu = cpumask_any_and(cpus, masks[i][j]);
if (cpu < nr_cpu_ids) {
found = cpu;
break;
}
}
sched/numa: Fix NUMA topology for systems with CPU-less nodes The NUMA topology parameters (sched_numa_topology_type, sched_domains_numa_levels, and sched_max_numa_distance, etc.) identified by scheduler may be wrong for systems with CPU-less nodes. For example, the ACPI SLIT of a system with CPU-less persistent memory (Intel Optane DCPMM) nodes is as follows, [000h 0000 4] Signature : "SLIT" [System Locality Information Table] [004h 0004 4] Table Length : 0000042C [008h 0008 1] Revision : 01 [009h 0009 1] Checksum : 59 [00Ah 0010 6] Oem ID : "XXXX" [010h 0016 8] Oem Table ID : "XXXXXXX" [018h 0024 4] Oem Revision : 00000001 [01Ch 0028 4] Asl Compiler ID : "INTL" [020h 0032 4] Asl Compiler Revision : 20091013 [024h 0036 8] Localities : 0000000000000004 [02Ch 0044 4] Locality 0 : 0A 15 11 1C [030h 0048 4] Locality 1 : 15 0A 1C 11 [034h 0052 4] Locality 2 : 11 1C 0A 1C [038h 0056 4] Locality 3 : 1C 11 1C 0A While the `numactl -H` output is as follows, available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 node 0 size: 64136 MB node 0 free: 5981 MB node 1 cpus: 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 node 1 size: 64466 MB node 1 free: 10415 MB node 2 cpus: node 2 size: 253952 MB node 2 free: 253920 MB node 3 cpus: node 3 size: 253952 MB node 3 free: 253951 MB node distances: node 0 1 2 3 0: 10 21 17 28 1: 21 10 28 17 2: 17 28 10 28 3: 28 17 28 10 In this system, there are only 2 sockets. In each memory controller, both DRAM and PMEM DIMMs are installed. Although the physical NUMA topology is simple, the logical NUMA topology becomes a little complex. Because both the distance(0, 1) and distance (1, 3) are less than the distance (0, 3), it appears that node 1 sits between node 0 and node 3. And the whole system appears to be a glueless mesh NUMA topology type. But it's definitely not, there is even no CPU in node 3. This isn't a practical problem now yet. Because the PMEM nodes (node 2 and node 3 in example system) are offlined by default during system boot. So init_numa_topology_type() called during system boot will ignore them and set sched_numa_topology_type to NUMA_DIRECT. And init_numa_topology_type() is only called at runtime when a CPU of a never-onlined-before node gets plugged in. And there's no CPU in the PMEM nodes. But it appears better to fix this to make the code more robust. To test the potential problem. We have used a debug patch to call init_numa_topology_type() when the PMEM node is onlined (in __set_migration_target_nodes()). With that, the NUMA parameters identified by scheduler is as follows, sched_numa_topology_type: NUMA_GLUELESS_MESH sched_domains_numa_levels: 4 sched_max_numa_distance: 28 To fix the issue, the CPU-less nodes are ignored when the NUMA topology parameters are identified. Because a node may become CPU-less or not at run time because of CPU hotplug, the NUMA topology parameters need to be re-initialized at runtime for CPU hotplug too. With the patch, the NUMA parameters identified for the example system above is as follows, sched_numa_topology_type: NUMA_DIRECT sched_domains_numa_levels: 2 sched_max_numa_distance: 21 Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20220214121553.582248-1-ying.huang@intel.com
2022-02-14 12:15:52 +00:00
unlock:
rcu_read_unlock();
return found;
}
struct __cmp_key {
const struct cpumask *cpus;
struct cpumask ***masks;
int node;
int cpu;
int w;
};
static int hop_cmp(const void *a, const void *b)
{
struct cpumask **prev_hop, **cur_hop = *(struct cpumask ***)b;
struct __cmp_key *k = (struct __cmp_key *)a;
if (cpumask_weight_and(k->cpus, cur_hop[k->node]) <= k->cpu)
return 1;
if (b == k->masks) {
k->w = 0;
return 0;
}
prev_hop = *((struct cpumask ***)b - 1);
k->w = cpumask_weight_and(k->cpus, prev_hop[k->node]);
if (k->w <= k->cpu)
return 0;
return -1;
}
/**
* sched_numa_find_nth_cpu() - given the NUMA topology, find the Nth closest CPU
* from @cpus to @cpu, taking into account distance
* from a given @node.
* @cpus: cpumask to find a cpu from
* @cpu: CPU to start searching
* @node: NUMA node to order CPUs by distance
*
* Return: cpu, or nr_cpu_ids when nothing found.
*/
int sched_numa_find_nth_cpu(const struct cpumask *cpus, int cpu, int node)
{
struct __cmp_key k = { .cpus = cpus, .cpu = cpu };
struct cpumask ***hop_masks;
int hop, ret = nr_cpu_ids;
if (node == NUMA_NO_NODE)
return cpumask_nth_and(cpu, cpus, cpu_online_mask);
rcu_read_lock();
/* CPU-less node entries are uninitialized in sched_domains_numa_masks */
node = numa_nearest_node(node, N_CPU);
k.node = node;
k.masks = rcu_dereference(sched_domains_numa_masks);
if (!k.masks)
goto unlock;
hop_masks = bsearch(&k, k.masks, sched_domains_numa_levels, sizeof(k.masks[0]), hop_cmp);
hop = hop_masks - k.masks;
ret = hop ?
cpumask_nth_and_andnot(cpu - k.w, cpus, k.masks[hop][node], k.masks[hop-1][node]) :
cpumask_nth_and(cpu, cpus, k.masks[0][node]);
unlock:
rcu_read_unlock();
return ret;
}
EXPORT_SYMBOL_GPL(sched_numa_find_nth_cpu);
/**
* sched_numa_hop_mask() - Get the cpumask of CPUs at most @hops hops away from
* @node
* @node: The node to count hops from.
* @hops: Include CPUs up to that many hops away. 0 means local node.
*
* Return: On success, a pointer to a cpumask of CPUs at most @hops away from
* @node, an error value otherwise.
*
* Requires rcu_lock to be held. Returned cpumask is only valid within that
* read-side section, copy it if required beyond that.
*
* Note that not all hops are equal in distance; see sched_init_numa() for how
* distances and masks are handled.
* Also note that this is a reflection of sched_domains_numa_masks, which may change
* during the lifetime of the system (offline nodes are taken out of the masks).
*/
const struct cpumask *sched_numa_hop_mask(unsigned int node, unsigned int hops)
{
struct cpumask ***masks;
if (node >= nr_node_ids || hops >= sched_domains_numa_levels)
return ERR_PTR(-EINVAL);
masks = rcu_dereference(sched_domains_numa_masks);
if (!masks)
return ERR_PTR(-EBUSY);
return masks[hops][node];
}
EXPORT_SYMBOL_GPL(sched_numa_hop_mask);
#endif /* CONFIG_NUMA */
static int __sdt_alloc(const struct cpumask *cpu_map)
{
struct sched_domain_topology_level *tl;
int j;
for_each_sd_topology(tl) {
struct sd_data *sdd = &tl->data;
sdd->sd = alloc_percpu(struct sched_domain *);
if (!sdd->sd)
return -ENOMEM;
sdd->sds = alloc_percpu(struct sched_domain_shared *);
if (!sdd->sds)
return -ENOMEM;
sdd->sg = alloc_percpu(struct sched_group *);
if (!sdd->sg)
return -ENOMEM;
sdd->sgc = alloc_percpu(struct sched_group_capacity *);
if (!sdd->sgc)
return -ENOMEM;
for_each_cpu(j, cpu_map) {
struct sched_domain *sd;
struct sched_domain_shared *sds;
struct sched_group *sg;
struct sched_group_capacity *sgc;
sd = kzalloc_node(sizeof(struct sched_domain) + cpumask_size(),
GFP_KERNEL, cpu_to_node(j));
if (!sd)
return -ENOMEM;
*per_cpu_ptr(sdd->sd, j) = sd;
sds = kzalloc_node(sizeof(struct sched_domain_shared),
GFP_KERNEL, cpu_to_node(j));
if (!sds)
return -ENOMEM;
*per_cpu_ptr(sdd->sds, j) = sds;
sg = kzalloc_node(sizeof(struct sched_group) + cpumask_size(),
GFP_KERNEL, cpu_to_node(j));
if (!sg)
return -ENOMEM;
sg->next = sg;
*per_cpu_ptr(sdd->sg, j) = sg;
sgc = kzalloc_node(sizeof(struct sched_group_capacity) + cpumask_size(),
GFP_KERNEL, cpu_to_node(j));
if (!sgc)
return -ENOMEM;
#ifdef CONFIG_SCHED_DEBUG
sgc->id = j;
#endif
*per_cpu_ptr(sdd->sgc, j) = sgc;
}
}
return 0;
}
static void __sdt_free(const struct cpumask *cpu_map)
{
struct sched_domain_topology_level *tl;
int j;
for_each_sd_topology(tl) {
struct sd_data *sdd = &tl->data;
for_each_cpu(j, cpu_map) {
struct sched_domain *sd;
if (sdd->sd) {
sd = *per_cpu_ptr(sdd->sd, j);
if (sd && (sd->flags & SD_OVERLAP))
free_sched_groups(sd->groups, 0);
kfree(*per_cpu_ptr(sdd->sd, j));
}
if (sdd->sds)
kfree(*per_cpu_ptr(sdd->sds, j));
if (sdd->sg)
kfree(*per_cpu_ptr(sdd->sg, j));
if (sdd->sgc)
kfree(*per_cpu_ptr(sdd->sgc, j));
}
free_percpu(sdd->sd);
sdd->sd = NULL;
free_percpu(sdd->sds);
sdd->sds = NULL;
free_percpu(sdd->sg);
sdd->sg = NULL;
free_percpu(sdd->sgc);
sdd->sgc = NULL;
}
}
static struct sched_domain *build_sched_domain(struct sched_domain_topology_level *tl,
const struct cpumask *cpu_map, struct sched_domain_attr *attr,
sched/topology: Rework CPU capacity asymmetry detection Currently the CPU capacity asymmetry detection, performed through asym_cpu_capacity_level, tries to identify the lowest topology level at which the highest CPU capacity is being observed, not necessarily finding the level at which all possible capacity values are visible to all CPUs, which might be bit problematic for some possible/valid asymmetric topologies i.e.: DIE [ ] MC [ ][ ] CPU [0] [1] [2] [3] [4] [5] [6] [7] Capacity |.....| |.....| |.....| |.....| L M B B Where: arch_scale_cpu_capacity(L) = 512 arch_scale_cpu_capacity(M) = 871 arch_scale_cpu_capacity(B) = 1024 In this particular case, the asymmetric topology level will point at MC, as all possible CPU masks for that level do cover the CPU with the highest capacity. It will work just fine for the first cluster, not so much for the second one though (consider the find_energy_efficient_cpu which might end up attempting the energy aware wake-up for a domain that does not see any asymmetry at all) Rework the way the capacity asymmetry levels are being detected, allowing to point to the lowest topology level (for a given CPU), where full set of available CPU capacities is visible to all CPUs within given domain. As a result, the per-cpu sd_asym_cpucapacity might differ across the domains. This will have an impact on EAS wake-up placement in a way that it might see different range of CPUs to be considered, depending on the given current and target CPUs. Additionally, those levels, where any range of asymmetry (not necessarily full) is being detected will get identified as well. The selected asymmetric topology level will be denoted by SD_ASYM_CPUCAPACITY_FULL sched domain flag whereas the 'sub-levels' would receive the already used SD_ASYM_CPUCAPACITY flag. This allows maintaining the current behaviour for asymmetric topologies, with misfit migration operating correctly on lower levels, if applicable, as any asymmetry is enough to trigger the misfit migration. The logic there relies on the SD_ASYM_CPUCAPACITY flag and does not relate to the full asymmetry level denoted by the sd_asym_cpucapacity pointer. Detecting the CPU capacity asymmetry is being based on a set of available CPU capacities for all possible CPUs. This data is being generated upon init and updated once CPU topology changes are being detected (through arch_update_cpu_topology). As such, any changes to identified CPU capacities (like initializing cpufreq) need to be explicitly advertised by corresponding archs to trigger rebuilding the data. Additional -dflags- parameter, used when building sched domains, has been removed as well, as the asymmetry flags are now being set directly in sd_init. Suggested-by: Peter Zijlstra <peterz@infradead.org> Suggested-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Beata Michalska <beata.michalska@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Valentin Schneider <valentin.schneider@arm.com> Reviewed-by: Dietmar Eggemann <dietmar.eggemann@arm.com> Tested-by: Valentin Schneider <valentin.schneider@arm.com> Link: https://lore.kernel.org/r/20210603140627.8409-3-beata.michalska@arm.com
2021-06-03 14:06:26 +00:00
struct sched_domain *child, int cpu)
{
sched/topology: Rework CPU capacity asymmetry detection Currently the CPU capacity asymmetry detection, performed through asym_cpu_capacity_level, tries to identify the lowest topology level at which the highest CPU capacity is being observed, not necessarily finding the level at which all possible capacity values are visible to all CPUs, which might be bit problematic for some possible/valid asymmetric topologies i.e.: DIE [ ] MC [ ][ ] CPU [0] [1] [2] [3] [4] [5] [6] [7] Capacity |.....| |.....| |.....| |.....| L M B B Where: arch_scale_cpu_capacity(L) = 512 arch_scale_cpu_capacity(M) = 871 arch_scale_cpu_capacity(B) = 1024 In this particular case, the asymmetric topology level will point at MC, as all possible CPU masks for that level do cover the CPU with the highest capacity. It will work just fine for the first cluster, not so much for the second one though (consider the find_energy_efficient_cpu which might end up attempting the energy aware wake-up for a domain that does not see any asymmetry at all) Rework the way the capacity asymmetry levels are being detected, allowing to point to the lowest topology level (for a given CPU), where full set of available CPU capacities is visible to all CPUs within given domain. As a result, the per-cpu sd_asym_cpucapacity might differ across the domains. This will have an impact on EAS wake-up placement in a way that it might see different range of CPUs to be considered, depending on the given current and target CPUs. Additionally, those levels, where any range of asymmetry (not necessarily full) is being detected will get identified as well. The selected asymmetric topology level will be denoted by SD_ASYM_CPUCAPACITY_FULL sched domain flag whereas the 'sub-levels' would receive the already used SD_ASYM_CPUCAPACITY flag. This allows maintaining the current behaviour for asymmetric topologies, with misfit migration operating correctly on lower levels, if applicable, as any asymmetry is enough to trigger the misfit migration. The logic there relies on the SD_ASYM_CPUCAPACITY flag and does not relate to the full asymmetry level denoted by the sd_asym_cpucapacity pointer. Detecting the CPU capacity asymmetry is being based on a set of available CPU capacities for all possible CPUs. This data is being generated upon init and updated once CPU topology changes are being detected (through arch_update_cpu_topology). As such, any changes to identified CPU capacities (like initializing cpufreq) need to be explicitly advertised by corresponding archs to trigger rebuilding the data. Additional -dflags- parameter, used when building sched domains, has been removed as well, as the asymmetry flags are now being set directly in sd_init. Suggested-by: Peter Zijlstra <peterz@infradead.org> Suggested-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Beata Michalska <beata.michalska@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Valentin Schneider <valentin.schneider@arm.com> Reviewed-by: Dietmar Eggemann <dietmar.eggemann@arm.com> Tested-by: Valentin Schneider <valentin.schneider@arm.com> Link: https://lore.kernel.org/r/20210603140627.8409-3-beata.michalska@arm.com
2021-06-03 14:06:26 +00:00
struct sched_domain *sd = sd_init(tl, cpu_map, child, cpu);
if (child) {
sd->level = child->level + 1;
sched_domain_level_max = max(sched_domain_level_max, sd->level);
child->parent = sd;
if (!cpumask_subset(sched_domain_span(child),
sched_domain_span(sd))) {
pr_err("BUG: arch topology borken\n");
#ifdef CONFIG_SCHED_DEBUG
pr_err(" the %s domain not a subset of the %s domain\n",
child->name, sd->name);
#endif
/* Fixup, ensure @sd has at least @child CPUs. */
cpumask_or(sched_domain_span(sd),
sched_domain_span(sd),
sched_domain_span(child));
}
}
set_domain_attribute(sd, attr);
return sd;
}
sched/topology: Assert non-NUMA topology masks don't (partially) overlap topology.c::get_group() relies on the assumption that non-NUMA domains do not partially overlap. Zeng Tao pointed out in [1] that such topology descriptions, while completely bogus, can end up being exposed to the scheduler. In his example (8 CPUs, 2-node system), we end up with: MC span for CPU3 == 3-7 MC span for CPU4 == 4-7 The first pass through get_group(3, sdd@MC) will result in the following sched_group list: 3 -> 4 -> 5 -> 6 -> 7 ^ / `----------------' And a later pass through get_group(4, sdd@MC) will "corrupt" that to: 3 -> 4 -> 5 -> 6 -> 7 ^ / `-----------' which will completely break things like 'while (sg != sd->groups)' when using CPU3's base sched_domain. There already are some architecture-specific checks in place such as x86/kernel/smpboot.c::topology.sane(), but this is something we can detect in the core scheduler, so it seems worthwhile to do so. Warn and abort the construction of the sched domains if such a broken topology description is detected. Note that this is somewhat expensive (O(t.c²), 't' non-NUMA topology levels and 'c' CPUs) and could be gated under SCHED_DEBUG if deemed necessary. Testing ======= Dietmar managed to reproduce this using the following qemu incantation: $ qemu-system-aarch64 -kernel ./Image -hda ./qemu-image-aarch64.img \ -append 'root=/dev/vda console=ttyAMA0 loglevel=8 sched_debug' -smp \ cores=8 --nographic -m 512 -cpu cortex-a53 -machine virt -numa \ node,cpus=0-2,nodeid=0 -numa node,cpus=3-7,nodeid=1 alongside the following drivers/base/arch_topology.c hack (AIUI wouldn't be needed if '-smp cores=X, sockets=Y' would work with qemu): 8<--- @@ -465,6 +465,9 @@ void update_siblings_masks(unsigned int cpuid) if (cpuid_topo->package_id != cpu_topo->package_id) continue; + if ((cpu < 4 && cpuid > 3) || (cpu > 3 && cpuid < 4)) + continue; + cpumask_set_cpu(cpuid, &cpu_topo->core_sibling); cpumask_set_cpu(cpu, &cpuid_topo->core_sibling); 8<--- [1]: https://lkml.kernel.org/r/1577088979-8545-1-git-send-email-prime.zeng@hisilicon.com Reported-by: Zeng Tao <prime.zeng@hisilicon.com> Signed-off-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20200115160915.22575-1-valentin.schneider@arm.com
2020-01-15 16:09:15 +00:00
/*
* Ensure topology masks are sane, i.e. there are no conflicts (overlaps) for
* any two given CPUs at this (non-NUMA) topology level.
*/
static bool topology_span_sane(struct sched_domain_topology_level *tl,
const struct cpumask *cpu_map, int cpu)
{
int i;
/* NUMA levels are allowed to overlap */
if (tl->flags & SDTL_OVERLAP)
return true;
/*
* Non-NUMA levels cannot partially overlap - they must be either
* completely equal or completely disjoint. Otherwise we can end up
* breaking the sched_group lists - i.e. a later get_group() pass
* breaks the linking done for an earlier span.
*/
for_each_cpu(i, cpu_map) {
if (i == cpu)
continue;
/*
* We should 'and' all those masks with 'cpu_map' to exactly
* match the topology we're about to build, but that can only
* remove CPUs, which only lessens our ability to detect
* overlaps
*/
if (!cpumask_equal(tl->mask(cpu), tl->mask(i)) &&
cpumask_intersects(tl->mask(cpu), tl->mask(i)))
return false;
}
return true;
}
/*
* Build sched domains for a given set of CPUs and attach the sched domains
* to the individual CPUs
*/
static int
build_sched_domains(const struct cpumask *cpu_map, struct sched_domain_attr *attr)
{
sched/topology: Don't try to build empty sched domains Turns out hotplugging CPUs that are in exclusive cpusets can lead to the cpuset code feeding empty cpumasks to the sched domain rebuild machinery. This leads to the following splat: Internal error: Oops: 96000004 [#1] PREEMPT SMP Modules linked in: CPU: 0 PID: 235 Comm: kworker/5:2 Not tainted 5.4.0-rc1-00005-g8d495477d62e #23 Hardware name: ARM Juno development board (r0) (DT) Workqueue: events cpuset_hotplug_workfn pstate: 60000005 (nZCv daif -PAN -UAO) pc : build_sched_domains (./include/linux/arch_topology.h:23 kernel/sched/topology.c:1898 kernel/sched/topology.c:1969) lr : build_sched_domains (kernel/sched/topology.c:1966) Call trace: build_sched_domains (./include/linux/arch_topology.h:23 kernel/sched/topology.c:1898 kernel/sched/topology.c:1969) partition_sched_domains_locked (kernel/sched/topology.c:2250) rebuild_sched_domains_locked (./include/linux/bitmap.h:370 ./include/linux/cpumask.h:538 kernel/cgroup/cpuset.c:955 kernel/cgroup/cpuset.c:978 kernel/cgroup/cpuset.c:1019) rebuild_sched_domains (kernel/cgroup/cpuset.c:1032) cpuset_hotplug_workfn (kernel/cgroup/cpuset.c:3205 (discriminator 2)) process_one_work (./arch/arm64/include/asm/jump_label.h:21 ./include/linux/jump_label.h:200 ./include/trace/events/workqueue.h:114 kernel/workqueue.c:2274) worker_thread (./include/linux/compiler.h:199 ./include/linux/list.h:268 kernel/workqueue.c:2416) kthread (kernel/kthread.c:255) ret_from_fork (arch/arm64/kernel/entry.S:1167) Code: f860dae2 912802d6 aa1603e1 12800000 (f8616853) The faulty line in question is: cap = arch_scale_cpu_capacity(cpumask_first(cpu_map)); and we're not checking the return value against nr_cpu_ids (we shouldn't have to!), which leads to the above. Prevent generate_sched_domains() from returning empty cpumasks, and add some assertion in build_sched_domains() to scream bloody murder if it happens again. The above splat was obtained on my Juno r0 with the following reproducer: $ cgcreate -g cpuset:asym $ cgset -r cpuset.cpus=0-3 asym $ cgset -r cpuset.mems=0 asym $ cgset -r cpuset.cpu_exclusive=1 asym $ cgcreate -g cpuset:smp $ cgset -r cpuset.cpus=4-5 smp $ cgset -r cpuset.mems=0 smp $ cgset -r cpuset.cpu_exclusive=1 smp $ cgset -r cpuset.sched_load_balance=0 . $ echo 0 > /sys/devices/system/cpu/cpu4/online $ echo 0 > /sys/devices/system/cpu/cpu5/online Signed-off-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Dietmar.Eggemann@arm.com Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: hannes@cmpxchg.org Cc: lizefan@huawei.com Cc: morten.rasmussen@arm.com Cc: qperret@google.com Cc: tj@kernel.org Cc: vincent.guittot@linaro.org Fixes: 05484e098448 ("sched/topology: Add SD_ASYM_CPUCAPACITY flag detection") Link: https://lkml.kernel.org/r/20191023153745.19515-2-valentin.schneider@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2019-10-23 15:37:44 +00:00
enum s_alloc alloc_state = sa_none;
struct sched_domain *sd;
struct s_data d;
struct rq *rq = NULL;
int i, ret = -ENOMEM;
bool has_asym = false;
sched/fair: Scan cluster before scanning LLC in wake-up path For platforms having clusters like Kunpeng920, CPUs within the same cluster have lower latency when synchronizing and accessing shared resources like cache. Thus, this patch tries to find an idle cpu within the cluster of the target CPU before scanning the whole LLC to gain lower latency. This will be implemented in 2 steps in select_idle_sibling(): 1. When the prev_cpu/recent_used_cpu are good wakeup candidates, use them if they're sharing cluster with the target CPU. Otherwise trying to scan for an idle CPU in the target's cluster. 2. Scanning the cluster prior to the LLC of the target CPU for an idle CPU to wakeup. Testing has been done on Kunpeng920 by pinning tasks to one numa and two numa. On Kunpeng920, Each numa has 8 clusters and each cluster has 4 CPUs. With this patch, We noticed enhancement on tbench and netperf within one numa or cross two numa on top of tip-sched-core commit 9b46f1abc6d4 ("sched/debug: Print 'tgid' in sched_show_task()") tbench results (node 0): baseline patched 1: 327.2833 372.4623 ( 13.80%) 4: 1320.5933 1479.8833 ( 12.06%) 8: 2638.4867 2921.5267 ( 10.73%) 16: 5282.7133 5891.5633 ( 11.53%) 32: 9810.6733 9877.3400 ( 0.68%) 64: 7408.9367 7447.9900 ( 0.53%) 128: 6203.2600 6191.6500 ( -0.19%) tbench results (node 0-1): baseline patched 1: 332.0433 372.7223 ( 12.25%) 4: 1325.4667 1477.6733 ( 11.48%) 8: 2622.9433 2897.9967 ( 10.49%) 16: 5218.6100 5878.2967 ( 12.64%) 32: 10211.7000 11494.4000 ( 12.56%) 64: 13313.7333 16740.0333 ( 25.74%) 128: 13959.1000 14533.9000 ( 4.12%) netperf results TCP_RR (node 0): baseline patched 1: 76546.5033 90649.9867 ( 18.42%) 4: 77292.4450 90932.7175 ( 17.65%) 8: 77367.7254 90882.3467 ( 17.47%) 16: 78519.9048 90938.8344 ( 15.82%) 32: 72169.5035 72851.6730 ( 0.95%) 64: 25911.2457 25882.2315 ( -0.11%) 128: 10752.6572 10768.6038 ( 0.15%) netperf results TCP_RR (node 0-1): baseline patched 1: 76857.6667 90892.2767 ( 18.26%) 4: 78236.6475 90767.3017 ( 16.02%) 8: 77929.6096 90684.1633 ( 16.37%) 16: 77438.5873 90502.5787 ( 16.87%) 32: 74205.6635 88301.5612 ( 19.00%) 64: 69827.8535 71787.6706 ( 2.81%) 128: 25281.4366 25771.3023 ( 1.94%) netperf results UDP_RR (node 0): baseline patched 1: 96869.8400 110800.8467 ( 14.38%) 4: 97744.9750 109680.5425 ( 12.21%) 8: 98783.9863 110409.9637 ( 11.77%) 16: 99575.0235 110636.2435 ( 11.11%) 32: 95044.7250 97622.8887 ( 2.71%) 64: 32925.2146 32644.4991 ( -0.85%) 128: 12859.2343 12824.0051 ( -0.27%) netperf results UDP_RR (node 0-1): baseline patched 1: 97202.4733 110190.1200 ( 13.36%) 4: 95954.0558 106245.7258 ( 10.73%) 8: 96277.1958 105206.5304 ( 9.27%) 16: 97692.7810 107927.2125 ( 10.48%) 32: 79999.6702 103550.2999 ( 29.44%) 64: 80592.7413 87284.0856 ( 8.30%) 128: 27701.5770 29914.5820 ( 7.99%) Note neither Kunpeng920 nor x86 Jacobsville supports SMT, so the SMT branch in the code has not been tested but it supposed to work. Chen Yu also noticed this will improve the performance of tbench and netperf on a 24 CPUs Jacobsville machine, there are 4 CPUs in one cluster sharing L2 Cache. [https://lore.kernel.org/lkml/Ytfjs+m1kUs0ScSn@worktop.programming.kicks-ass.net] Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Barry Song <song.bao.hua@hisilicon.com> Signed-off-by: Yicong Yang <yangyicong@hisilicon.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Tim Chen <tim.c.chen@linux.intel.com> Reviewed-by: Chen Yu <yu.c.chen@intel.com> Reviewed-by: Gautham R. Shenoy <gautham.shenoy@amd.com> Reviewed-by: Vincent Guittot <vincent.guittot@linaro.org> Tested-and-reviewed-by: Chen Yu <yu.c.chen@intel.com> Tested-by: Yicong Yang <yangyicong@hisilicon.com> Link: https://lkml.kernel.org/r/20231019033323.54147-3-yangyicong@huawei.com
2023-10-19 03:33:22 +00:00
bool has_cluster = false;
sched/topology: Don't try to build empty sched domains Turns out hotplugging CPUs that are in exclusive cpusets can lead to the cpuset code feeding empty cpumasks to the sched domain rebuild machinery. This leads to the following splat: Internal error: Oops: 96000004 [#1] PREEMPT SMP Modules linked in: CPU: 0 PID: 235 Comm: kworker/5:2 Not tainted 5.4.0-rc1-00005-g8d495477d62e #23 Hardware name: ARM Juno development board (r0) (DT) Workqueue: events cpuset_hotplug_workfn pstate: 60000005 (nZCv daif -PAN -UAO) pc : build_sched_domains (./include/linux/arch_topology.h:23 kernel/sched/topology.c:1898 kernel/sched/topology.c:1969) lr : build_sched_domains (kernel/sched/topology.c:1966) Call trace: build_sched_domains (./include/linux/arch_topology.h:23 kernel/sched/topology.c:1898 kernel/sched/topology.c:1969) partition_sched_domains_locked (kernel/sched/topology.c:2250) rebuild_sched_domains_locked (./include/linux/bitmap.h:370 ./include/linux/cpumask.h:538 kernel/cgroup/cpuset.c:955 kernel/cgroup/cpuset.c:978 kernel/cgroup/cpuset.c:1019) rebuild_sched_domains (kernel/cgroup/cpuset.c:1032) cpuset_hotplug_workfn (kernel/cgroup/cpuset.c:3205 (discriminator 2)) process_one_work (./arch/arm64/include/asm/jump_label.h:21 ./include/linux/jump_label.h:200 ./include/trace/events/workqueue.h:114 kernel/workqueue.c:2274) worker_thread (./include/linux/compiler.h:199 ./include/linux/list.h:268 kernel/workqueue.c:2416) kthread (kernel/kthread.c:255) ret_from_fork (arch/arm64/kernel/entry.S:1167) Code: f860dae2 912802d6 aa1603e1 12800000 (f8616853) The faulty line in question is: cap = arch_scale_cpu_capacity(cpumask_first(cpu_map)); and we're not checking the return value against nr_cpu_ids (we shouldn't have to!), which leads to the above. Prevent generate_sched_domains() from returning empty cpumasks, and add some assertion in build_sched_domains() to scream bloody murder if it happens again. The above splat was obtained on my Juno r0 with the following reproducer: $ cgcreate -g cpuset:asym $ cgset -r cpuset.cpus=0-3 asym $ cgset -r cpuset.mems=0 asym $ cgset -r cpuset.cpu_exclusive=1 asym $ cgcreate -g cpuset:smp $ cgset -r cpuset.cpus=4-5 smp $ cgset -r cpuset.mems=0 smp $ cgset -r cpuset.cpu_exclusive=1 smp $ cgset -r cpuset.sched_load_balance=0 . $ echo 0 > /sys/devices/system/cpu/cpu4/online $ echo 0 > /sys/devices/system/cpu/cpu5/online Signed-off-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Dietmar.Eggemann@arm.com Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: hannes@cmpxchg.org Cc: lizefan@huawei.com Cc: morten.rasmussen@arm.com Cc: qperret@google.com Cc: tj@kernel.org Cc: vincent.guittot@linaro.org Fixes: 05484e098448 ("sched/topology: Add SD_ASYM_CPUCAPACITY flag detection") Link: https://lkml.kernel.org/r/20191023153745.19515-2-valentin.schneider@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2019-10-23 15:37:44 +00:00
if (WARN_ON(cpumask_empty(cpu_map)))
goto error;
alloc_state = __visit_domain_allocation_hell(&d, cpu_map);
if (alloc_state != sa_rootdomain)
goto error;
/* Set up domains for CPUs specified by the cpu_map: */
for_each_cpu(i, cpu_map) {
struct sched_domain_topology_level *tl;
sd = NULL;
for_each_sd_topology(tl) {
sched/topology: Add SD_ASYM_CPUCAPACITY flag detection The SD_ASYM_CPUCAPACITY sched_domain flag is supposed to mark the sched_domain in the hierarchy where all CPU capacities are visible for any CPU's point of view on asymmetric CPU capacity systems. The scheduler can then take to take capacity asymmetry into account when balancing at this level. It also serves as an indicator for how wide task placement heuristics have to search to consider all available CPU capacities as asymmetric systems might often appear symmetric at smallest level(s) of the sched_domain hierarchy. The flag has been around for while but so far only been set by out-of-tree code in Android kernels. One solution is to let each architecture provide the flag through a custom sched_domain topology array and associated mask and flag functions. However, SD_ASYM_CPUCAPACITY is special in the sense that it depends on the capacity and presence of all CPUs in the system, i.e. when hotplugging all CPUs out except those with one particular CPU capacity the flag should disappear even if the sched_domains don't collapse. Similarly, the flag is affected by cpusets where load-balancing is turned off. Detecting when the flags should be set therefore depends not only on topology information but also the cpuset configuration and hotplug state. The arch code doesn't have easy access to the cpuset configuration. Instead, this patch implements the flag detection in generic code where cpusets and hotplug state is already taken care of. All the arch is responsible for is to implement arch_scale_cpu_capacity() and force a full rebuild of the sched_domain hierarchy if capacities are updated, e.g. later in the boot process when cpufreq has initialized. Signed-off-by: Morten Rasmussen <morten.rasmussen@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: dietmar.eggemann@arm.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Link: http://lkml.kernel.org/r/1532093554-30504-2-git-send-email-morten.rasmussen@arm.com [ Fixed 'CPU' capitalization. ] Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-07-20 13:32:31 +00:00
sched/topology: Assert non-NUMA topology masks don't (partially) overlap topology.c::get_group() relies on the assumption that non-NUMA domains do not partially overlap. Zeng Tao pointed out in [1] that such topology descriptions, while completely bogus, can end up being exposed to the scheduler. In his example (8 CPUs, 2-node system), we end up with: MC span for CPU3 == 3-7 MC span for CPU4 == 4-7 The first pass through get_group(3, sdd@MC) will result in the following sched_group list: 3 -> 4 -> 5 -> 6 -> 7 ^ / `----------------' And a later pass through get_group(4, sdd@MC) will "corrupt" that to: 3 -> 4 -> 5 -> 6 -> 7 ^ / `-----------' which will completely break things like 'while (sg != sd->groups)' when using CPU3's base sched_domain. There already are some architecture-specific checks in place such as x86/kernel/smpboot.c::topology.sane(), but this is something we can detect in the core scheduler, so it seems worthwhile to do so. Warn and abort the construction of the sched domains if such a broken topology description is detected. Note that this is somewhat expensive (O(t.c²), 't' non-NUMA topology levels and 'c' CPUs) and could be gated under SCHED_DEBUG if deemed necessary. Testing ======= Dietmar managed to reproduce this using the following qemu incantation: $ qemu-system-aarch64 -kernel ./Image -hda ./qemu-image-aarch64.img \ -append 'root=/dev/vda console=ttyAMA0 loglevel=8 sched_debug' -smp \ cores=8 --nographic -m 512 -cpu cortex-a53 -machine virt -numa \ node,cpus=0-2,nodeid=0 -numa node,cpus=3-7,nodeid=1 alongside the following drivers/base/arch_topology.c hack (AIUI wouldn't be needed if '-smp cores=X, sockets=Y' would work with qemu): 8<--- @@ -465,6 +465,9 @@ void update_siblings_masks(unsigned int cpuid) if (cpuid_topo->package_id != cpu_topo->package_id) continue; + if ((cpu < 4 && cpuid > 3) || (cpu > 3 && cpuid < 4)) + continue; + cpumask_set_cpu(cpuid, &cpu_topo->core_sibling); cpumask_set_cpu(cpu, &cpuid_topo->core_sibling); 8<--- [1]: https://lkml.kernel.org/r/1577088979-8545-1-git-send-email-prime.zeng@hisilicon.com Reported-by: Zeng Tao <prime.zeng@hisilicon.com> Signed-off-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Link: https://lkml.kernel.org/r/20200115160915.22575-1-valentin.schneider@arm.com
2020-01-15 16:09:15 +00:00
if (WARN_ON(!topology_span_sane(tl, cpu_map, i)))
goto error;
sched/topology: Rework CPU capacity asymmetry detection Currently the CPU capacity asymmetry detection, performed through asym_cpu_capacity_level, tries to identify the lowest topology level at which the highest CPU capacity is being observed, not necessarily finding the level at which all possible capacity values are visible to all CPUs, which might be bit problematic for some possible/valid asymmetric topologies i.e.: DIE [ ] MC [ ][ ] CPU [0] [1] [2] [3] [4] [5] [6] [7] Capacity |.....| |.....| |.....| |.....| L M B B Where: arch_scale_cpu_capacity(L) = 512 arch_scale_cpu_capacity(M) = 871 arch_scale_cpu_capacity(B) = 1024 In this particular case, the asymmetric topology level will point at MC, as all possible CPU masks for that level do cover the CPU with the highest capacity. It will work just fine for the first cluster, not so much for the second one though (consider the find_energy_efficient_cpu which might end up attempting the energy aware wake-up for a domain that does not see any asymmetry at all) Rework the way the capacity asymmetry levels are being detected, allowing to point to the lowest topology level (for a given CPU), where full set of available CPU capacities is visible to all CPUs within given domain. As a result, the per-cpu sd_asym_cpucapacity might differ across the domains. This will have an impact on EAS wake-up placement in a way that it might see different range of CPUs to be considered, depending on the given current and target CPUs. Additionally, those levels, where any range of asymmetry (not necessarily full) is being detected will get identified as well. The selected asymmetric topology level will be denoted by SD_ASYM_CPUCAPACITY_FULL sched domain flag whereas the 'sub-levels' would receive the already used SD_ASYM_CPUCAPACITY flag. This allows maintaining the current behaviour for asymmetric topologies, with misfit migration operating correctly on lower levels, if applicable, as any asymmetry is enough to trigger the misfit migration. The logic there relies on the SD_ASYM_CPUCAPACITY flag and does not relate to the full asymmetry level denoted by the sd_asym_cpucapacity pointer. Detecting the CPU capacity asymmetry is being based on a set of available CPU capacities for all possible CPUs. This data is being generated upon init and updated once CPU topology changes are being detected (through arch_update_cpu_topology). As such, any changes to identified CPU capacities (like initializing cpufreq) need to be explicitly advertised by corresponding archs to trigger rebuilding the data. Additional -dflags- parameter, used when building sched domains, has been removed as well, as the asymmetry flags are now being set directly in sd_init. Suggested-by: Peter Zijlstra <peterz@infradead.org> Suggested-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Beata Michalska <beata.michalska@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Valentin Schneider <valentin.schneider@arm.com> Reviewed-by: Dietmar Eggemann <dietmar.eggemann@arm.com> Tested-by: Valentin Schneider <valentin.schneider@arm.com> Link: https://lore.kernel.org/r/20210603140627.8409-3-beata.michalska@arm.com
2021-06-03 14:06:26 +00:00
sd = build_sched_domain(tl, cpu_map, attr, sd, i);
has_asym |= sd->flags & SD_ASYM_CPUCAPACITY;
sched/topology: Add SD_ASYM_CPUCAPACITY flag detection The SD_ASYM_CPUCAPACITY sched_domain flag is supposed to mark the sched_domain in the hierarchy where all CPU capacities are visible for any CPU's point of view on asymmetric CPU capacity systems. The scheduler can then take to take capacity asymmetry into account when balancing at this level. It also serves as an indicator for how wide task placement heuristics have to search to consider all available CPU capacities as asymmetric systems might often appear symmetric at smallest level(s) of the sched_domain hierarchy. The flag has been around for while but so far only been set by out-of-tree code in Android kernels. One solution is to let each architecture provide the flag through a custom sched_domain topology array and associated mask and flag functions. However, SD_ASYM_CPUCAPACITY is special in the sense that it depends on the capacity and presence of all CPUs in the system, i.e. when hotplugging all CPUs out except those with one particular CPU capacity the flag should disappear even if the sched_domains don't collapse. Similarly, the flag is affected by cpusets where load-balancing is turned off. Detecting when the flags should be set therefore depends not only on topology information but also the cpuset configuration and hotplug state. The arch code doesn't have easy access to the cpuset configuration. Instead, this patch implements the flag detection in generic code where cpusets and hotplug state is already taken care of. All the arch is responsible for is to implement arch_scale_cpu_capacity() and force a full rebuild of the sched_domain hierarchy if capacities are updated, e.g. later in the boot process when cpufreq has initialized. Signed-off-by: Morten Rasmussen <morten.rasmussen@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: dietmar.eggemann@arm.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Link: http://lkml.kernel.org/r/1532093554-30504-2-git-send-email-morten.rasmussen@arm.com [ Fixed 'CPU' capitalization. ] Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-07-20 13:32:31 +00:00
if (tl == sched_domain_topology)
*per_cpu_ptr(d.sd, i) = sd;
if (tl->flags & SDTL_OVERLAP)
sd->flags |= SD_OVERLAP;
if (cpumask_equal(cpu_map, sched_domain_span(sd)))
break;
}
}
/* Build the groups for the domains */
for_each_cpu(i, cpu_map) {
for (sd = *per_cpu_ptr(d.sd, i); sd; sd = sd->parent) {
sd->span_weight = cpumask_weight(sched_domain_span(sd));
if (sd->flags & SD_OVERLAP) {
if (build_overlap_sched_groups(sd, i))
goto error;
} else {
if (build_sched_groups(sd, i))
goto error;
}
}
}
sched/fair: Adjust the allowed NUMA imbalance when SD_NUMA spans multiple LLCs Commit 7d2b5dd0bcc4 ("sched/numa: Allow a floating imbalance between NUMA nodes") allowed an imbalance between NUMA nodes such that communicating tasks would not be pulled apart by the load balancer. This works fine when there is a 1:1 relationship between LLC and node but can be suboptimal for multiple LLCs if independent tasks prematurely use CPUs sharing cache. Zen* has multiple LLCs per node with local memory channels and due to the allowed imbalance, it's far harder to tune some workloads to run optimally than it is on hardware that has 1 LLC per node. This patch allows an imbalance to exist up to the point where LLCs should be balanced between nodes. On a Zen3 machine running STREAM parallelised with OMP to have on instance per LLC the results and without binding, the results are 5.17.0-rc0 5.17.0-rc0 vanilla sched-numaimb-v6 MB/sec copy-16 162596.94 ( 0.00%) 580559.74 ( 257.05%) MB/sec scale-16 136901.28 ( 0.00%) 374450.52 ( 173.52%) MB/sec add-16 157300.70 ( 0.00%) 564113.76 ( 258.62%) MB/sec triad-16 151446.88 ( 0.00%) 564304.24 ( 272.61%) STREAM can use directives to force the spread if the OpenMP is new enough but that doesn't help if an application uses threads and it's not known in advance how many threads will be created. Coremark is a CPU and cache intensive benchmark parallelised with threads. When running with 1 thread per core, the vanilla kernel allows threads to contend on cache. With the patch; 5.17.0-rc0 5.17.0-rc0 vanilla sched-numaimb-v5 Min Score-16 368239.36 ( 0.00%) 389816.06 ( 5.86%) Hmean Score-16 388607.33 ( 0.00%) 427877.08 * 10.11%* Max Score-16 408945.69 ( 0.00%) 481022.17 ( 17.62%) Stddev Score-16 15247.04 ( 0.00%) 24966.82 ( -63.75%) CoeffVar Score-16 3.92 ( 0.00%) 5.82 ( -48.48%) It can also make a big difference for semi-realistic workloads like specjbb which can execute arbitrary numbers of threads without advance knowledge of how they should be placed. Even in cases where the average performance is neutral, the results are more stable. 5.17.0-rc0 5.17.0-rc0 vanilla sched-numaimb-v6 Hmean tput-1 71631.55 ( 0.00%) 73065.57 ( 2.00%) Hmean tput-8 582758.78 ( 0.00%) 556777.23 ( -4.46%) Hmean tput-16 1020372.75 ( 0.00%) 1009995.26 ( -1.02%) Hmean tput-24 1416430.67 ( 0.00%) 1398700.11 ( -1.25%) Hmean tput-32 1687702.72 ( 0.00%) 1671357.04 ( -0.97%) Hmean tput-40 1798094.90 ( 0.00%) 2015616.46 * 12.10%* Hmean tput-48 1972731.77 ( 0.00%) 2333233.72 ( 18.27%) Hmean tput-56 2386872.38 ( 0.00%) 2759483.38 ( 15.61%) Hmean tput-64 2909475.33 ( 0.00%) 2925074.69 ( 0.54%) Hmean tput-72 2585071.36 ( 0.00%) 2962443.97 ( 14.60%) Hmean tput-80 2994387.24 ( 0.00%) 3015980.59 ( 0.72%) Hmean tput-88 3061408.57 ( 0.00%) 3010296.16 ( -1.67%) Hmean tput-96 3052394.82 ( 0.00%) 2784743.41 ( -8.77%) Hmean tput-104 2997814.76 ( 0.00%) 2758184.50 ( -7.99%) Hmean tput-112 2955353.29 ( 0.00%) 2859705.09 ( -3.24%) Hmean tput-120 2889770.71 ( 0.00%) 2764478.46 ( -4.34%) Hmean tput-128 2871713.84 ( 0.00%) 2750136.73 ( -4.23%) Stddev tput-1 5325.93 ( 0.00%) 2002.53 ( 62.40%) Stddev tput-8 6630.54 ( 0.00%) 10905.00 ( -64.47%) Stddev tput-16 25608.58 ( 0.00%) 6851.16 ( 73.25%) Stddev tput-24 12117.69 ( 0.00%) 4227.79 ( 65.11%) Stddev tput-32 27577.16 ( 0.00%) 8761.05 ( 68.23%) Stddev tput-40 59505.86 ( 0.00%) 2048.49 ( 96.56%) Stddev tput-48 168330.30 ( 0.00%) 93058.08 ( 44.72%) Stddev tput-56 219540.39 ( 0.00%) 30687.02 ( 86.02%) Stddev tput-64 121750.35 ( 0.00%) 9617.36 ( 92.10%) Stddev tput-72 223387.05 ( 0.00%) 34081.13 ( 84.74%) Stddev tput-80 128198.46 ( 0.00%) 22565.19 ( 82.40%) Stddev tput-88 136665.36 ( 0.00%) 27905.97 ( 79.58%) Stddev tput-96 111925.81 ( 0.00%) 99615.79 ( 11.00%) Stddev tput-104 146455.96 ( 0.00%) 28861.98 ( 80.29%) Stddev tput-112 88740.49 ( 0.00%) 58288.23 ( 34.32%) Stddev tput-120 186384.86 ( 0.00%) 45812.03 ( 75.42%) Stddev tput-128 78761.09 ( 0.00%) 57418.48 ( 27.10%) Similarly, for embarassingly parallel problems like NPB-ep, there are improvements due to better spreading across LLC when the machine is not fully utilised. vanilla sched-numaimb-v6 Min ep.D 31.79 ( 0.00%) 26.11 ( 17.87%) Amean ep.D 31.86 ( 0.00%) 26.17 * 17.86%* Stddev ep.D 0.07 ( 0.00%) 0.05 ( 24.41%) CoeffVar ep.D 0.22 ( 0.00%) 0.20 ( 7.97%) Max ep.D 31.93 ( 0.00%) 26.21 ( 17.91%) Signed-off-by: Mel Gorman <mgorman@techsingularity.net> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Gautham R. Shenoy <gautham.shenoy@amd.com> Tested-by: K Prateek Nayak <kprateek.nayak@amd.com> Link: https://lore.kernel.org/r/20220208094334.16379-3-mgorman@techsingularity.net
2022-02-08 09:43:34 +00:00
/*
* Calculate an allowed NUMA imbalance such that LLCs do not get
* imbalanced.
*/
for_each_cpu(i, cpu_map) {
unsigned int imb = 0;
unsigned int imb_span = 1;
for (sd = *per_cpu_ptr(d.sd, i); sd; sd = sd->parent) {
struct sched_domain *child = sd->child;
if (!(sd->flags & SD_SHARE_PKG_RESOURCES) && child &&
(child->flags & SD_SHARE_PKG_RESOURCES)) {
struct sched_domain __rcu *top_p;
sched/fair: Adjust the allowed NUMA imbalance when SD_NUMA spans multiple LLCs Commit 7d2b5dd0bcc4 ("sched/numa: Allow a floating imbalance between NUMA nodes") allowed an imbalance between NUMA nodes such that communicating tasks would not be pulled apart by the load balancer. This works fine when there is a 1:1 relationship between LLC and node but can be suboptimal for multiple LLCs if independent tasks prematurely use CPUs sharing cache. Zen* has multiple LLCs per node with local memory channels and due to the allowed imbalance, it's far harder to tune some workloads to run optimally than it is on hardware that has 1 LLC per node. This patch allows an imbalance to exist up to the point where LLCs should be balanced between nodes. On a Zen3 machine running STREAM parallelised with OMP to have on instance per LLC the results and without binding, the results are 5.17.0-rc0 5.17.0-rc0 vanilla sched-numaimb-v6 MB/sec copy-16 162596.94 ( 0.00%) 580559.74 ( 257.05%) MB/sec scale-16 136901.28 ( 0.00%) 374450.52 ( 173.52%) MB/sec add-16 157300.70 ( 0.00%) 564113.76 ( 258.62%) MB/sec triad-16 151446.88 ( 0.00%) 564304.24 ( 272.61%) STREAM can use directives to force the spread if the OpenMP is new enough but that doesn't help if an application uses threads and it's not known in advance how many threads will be created. Coremark is a CPU and cache intensive benchmark parallelised with threads. When running with 1 thread per core, the vanilla kernel allows threads to contend on cache. With the patch; 5.17.0-rc0 5.17.0-rc0 vanilla sched-numaimb-v5 Min Score-16 368239.36 ( 0.00%) 389816.06 ( 5.86%) Hmean Score-16 388607.33 ( 0.00%) 427877.08 * 10.11%* Max Score-16 408945.69 ( 0.00%) 481022.17 ( 17.62%) Stddev Score-16 15247.04 ( 0.00%) 24966.82 ( -63.75%) CoeffVar Score-16 3.92 ( 0.00%) 5.82 ( -48.48%) It can also make a big difference for semi-realistic workloads like specjbb which can execute arbitrary numbers of threads without advance knowledge of how they should be placed. Even in cases where the average performance is neutral, the results are more stable. 5.17.0-rc0 5.17.0-rc0 vanilla sched-numaimb-v6 Hmean tput-1 71631.55 ( 0.00%) 73065.57 ( 2.00%) Hmean tput-8 582758.78 ( 0.00%) 556777.23 ( -4.46%) Hmean tput-16 1020372.75 ( 0.00%) 1009995.26 ( -1.02%) Hmean tput-24 1416430.67 ( 0.00%) 1398700.11 ( -1.25%) Hmean tput-32 1687702.72 ( 0.00%) 1671357.04 ( -0.97%) Hmean tput-40 1798094.90 ( 0.00%) 2015616.46 * 12.10%* Hmean tput-48 1972731.77 ( 0.00%) 2333233.72 ( 18.27%) Hmean tput-56 2386872.38 ( 0.00%) 2759483.38 ( 15.61%) Hmean tput-64 2909475.33 ( 0.00%) 2925074.69 ( 0.54%) Hmean tput-72 2585071.36 ( 0.00%) 2962443.97 ( 14.60%) Hmean tput-80 2994387.24 ( 0.00%) 3015980.59 ( 0.72%) Hmean tput-88 3061408.57 ( 0.00%) 3010296.16 ( -1.67%) Hmean tput-96 3052394.82 ( 0.00%) 2784743.41 ( -8.77%) Hmean tput-104 2997814.76 ( 0.00%) 2758184.50 ( -7.99%) Hmean tput-112 2955353.29 ( 0.00%) 2859705.09 ( -3.24%) Hmean tput-120 2889770.71 ( 0.00%) 2764478.46 ( -4.34%) Hmean tput-128 2871713.84 ( 0.00%) 2750136.73 ( -4.23%) Stddev tput-1 5325.93 ( 0.00%) 2002.53 ( 62.40%) Stddev tput-8 6630.54 ( 0.00%) 10905.00 ( -64.47%) Stddev tput-16 25608.58 ( 0.00%) 6851.16 ( 73.25%) Stddev tput-24 12117.69 ( 0.00%) 4227.79 ( 65.11%) Stddev tput-32 27577.16 ( 0.00%) 8761.05 ( 68.23%) Stddev tput-40 59505.86 ( 0.00%) 2048.49 ( 96.56%) Stddev tput-48 168330.30 ( 0.00%) 93058.08 ( 44.72%) Stddev tput-56 219540.39 ( 0.00%) 30687.02 ( 86.02%) Stddev tput-64 121750.35 ( 0.00%) 9617.36 ( 92.10%) Stddev tput-72 223387.05 ( 0.00%) 34081.13 ( 84.74%) Stddev tput-80 128198.46 ( 0.00%) 22565.19 ( 82.40%) Stddev tput-88 136665.36 ( 0.00%) 27905.97 ( 79.58%) Stddev tput-96 111925.81 ( 0.00%) 99615.79 ( 11.00%) Stddev tput-104 146455.96 ( 0.00%) 28861.98 ( 80.29%) Stddev tput-112 88740.49 ( 0.00%) 58288.23 ( 34.32%) Stddev tput-120 186384.86 ( 0.00%) 45812.03 ( 75.42%) Stddev tput-128 78761.09 ( 0.00%) 57418.48 ( 27.10%) Similarly, for embarassingly parallel problems like NPB-ep, there are improvements due to better spreading across LLC when the machine is not fully utilised. vanilla sched-numaimb-v6 Min ep.D 31.79 ( 0.00%) 26.11 ( 17.87%) Amean ep.D 31.86 ( 0.00%) 26.17 * 17.86%* Stddev ep.D 0.07 ( 0.00%) 0.05 ( 24.41%) CoeffVar ep.D 0.22 ( 0.00%) 0.20 ( 7.97%) Max ep.D 31.93 ( 0.00%) 26.21 ( 17.91%) Signed-off-by: Mel Gorman <mgorman@techsingularity.net> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Gautham R. Shenoy <gautham.shenoy@amd.com> Tested-by: K Prateek Nayak <kprateek.nayak@amd.com> Link: https://lore.kernel.org/r/20220208094334.16379-3-mgorman@techsingularity.net
2022-02-08 09:43:34 +00:00
unsigned int nr_llcs;
/*
* For a single LLC per node, allow an
sched/numa: Adjust imb_numa_nr to a better approximation of memory channels For a single LLC per node, a NUMA imbalance is allowed up until 25% of CPUs sharing a node could be active. One intent of the cut-off is to avoid an imbalance of memory channels but there is no topological information based on active memory channels. Furthermore, there can be differences between nodes depending on the number of populated DIMMs. A cut-off of 25% was arbitrary but generally worked. It does have a severe corner cases though when an parallel workload is using 25% of all available CPUs over-saturates memory channels. This can happen due to the initial forking of tasks that get pulled more to one node after early wakeups (e.g. a barrier synchronisation) that is not quickly corrected by the load balancer. The LB may fail to act quickly as the parallel tasks are considered to be poor migrate candidates due to locality or cache hotness. On a range of modern Intel CPUs, 12.5% appears to be a better cut-off assuming all memory channels are populated and is used as the new cut-off point. A minimum of 1 is specified to allow a communicating pair to remain local even for CPUs with low numbers of cores. For modern AMDs, there are multiple LLCs and are not affected. Signed-off-by: Mel Gorman <mgorman@techsingularity.net> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Tested-by: K Prateek Nayak <kprateek.nayak@amd.com> Link: https://lore.kernel.org/r/20220520103519.1863-5-mgorman@techsingularity.net
2022-05-20 10:35:19 +00:00
* imbalance up to 12.5% of the node. This is
* arbitrary cutoff based two factors -- SMT and
* memory channels. For SMT-2, the intent is to
* avoid premature sharing of HT resources but
* SMT-4 or SMT-8 *may* benefit from a different
* cutoff. For memory channels, this is a very
* rough estimate of how many channels may be
* active and is based on recent CPUs with
* many cores.
sched/fair: Adjust the allowed NUMA imbalance when SD_NUMA spans multiple LLCs Commit 7d2b5dd0bcc4 ("sched/numa: Allow a floating imbalance between NUMA nodes") allowed an imbalance between NUMA nodes such that communicating tasks would not be pulled apart by the load balancer. This works fine when there is a 1:1 relationship between LLC and node but can be suboptimal for multiple LLCs if independent tasks prematurely use CPUs sharing cache. Zen* has multiple LLCs per node with local memory channels and due to the allowed imbalance, it's far harder to tune some workloads to run optimally than it is on hardware that has 1 LLC per node. This patch allows an imbalance to exist up to the point where LLCs should be balanced between nodes. On a Zen3 machine running STREAM parallelised with OMP to have on instance per LLC the results and without binding, the results are 5.17.0-rc0 5.17.0-rc0 vanilla sched-numaimb-v6 MB/sec copy-16 162596.94 ( 0.00%) 580559.74 ( 257.05%) MB/sec scale-16 136901.28 ( 0.00%) 374450.52 ( 173.52%) MB/sec add-16 157300.70 ( 0.00%) 564113.76 ( 258.62%) MB/sec triad-16 151446.88 ( 0.00%) 564304.24 ( 272.61%) STREAM can use directives to force the spread if the OpenMP is new enough but that doesn't help if an application uses threads and it's not known in advance how many threads will be created. Coremark is a CPU and cache intensive benchmark parallelised with threads. When running with 1 thread per core, the vanilla kernel allows threads to contend on cache. With the patch; 5.17.0-rc0 5.17.0-rc0 vanilla sched-numaimb-v5 Min Score-16 368239.36 ( 0.00%) 389816.06 ( 5.86%) Hmean Score-16 388607.33 ( 0.00%) 427877.08 * 10.11%* Max Score-16 408945.69 ( 0.00%) 481022.17 ( 17.62%) Stddev Score-16 15247.04 ( 0.00%) 24966.82 ( -63.75%) CoeffVar Score-16 3.92 ( 0.00%) 5.82 ( -48.48%) It can also make a big difference for semi-realistic workloads like specjbb which can execute arbitrary numbers of threads without advance knowledge of how they should be placed. Even in cases where the average performance is neutral, the results are more stable. 5.17.0-rc0 5.17.0-rc0 vanilla sched-numaimb-v6 Hmean tput-1 71631.55 ( 0.00%) 73065.57 ( 2.00%) Hmean tput-8 582758.78 ( 0.00%) 556777.23 ( -4.46%) Hmean tput-16 1020372.75 ( 0.00%) 1009995.26 ( -1.02%) Hmean tput-24 1416430.67 ( 0.00%) 1398700.11 ( -1.25%) Hmean tput-32 1687702.72 ( 0.00%) 1671357.04 ( -0.97%) Hmean tput-40 1798094.90 ( 0.00%) 2015616.46 * 12.10%* Hmean tput-48 1972731.77 ( 0.00%) 2333233.72 ( 18.27%) Hmean tput-56 2386872.38 ( 0.00%) 2759483.38 ( 15.61%) Hmean tput-64 2909475.33 ( 0.00%) 2925074.69 ( 0.54%) Hmean tput-72 2585071.36 ( 0.00%) 2962443.97 ( 14.60%) Hmean tput-80 2994387.24 ( 0.00%) 3015980.59 ( 0.72%) Hmean tput-88 3061408.57 ( 0.00%) 3010296.16 ( -1.67%) Hmean tput-96 3052394.82 ( 0.00%) 2784743.41 ( -8.77%) Hmean tput-104 2997814.76 ( 0.00%) 2758184.50 ( -7.99%) Hmean tput-112 2955353.29 ( 0.00%) 2859705.09 ( -3.24%) Hmean tput-120 2889770.71 ( 0.00%) 2764478.46 ( -4.34%) Hmean tput-128 2871713.84 ( 0.00%) 2750136.73 ( -4.23%) Stddev tput-1 5325.93 ( 0.00%) 2002.53 ( 62.40%) Stddev tput-8 6630.54 ( 0.00%) 10905.00 ( -64.47%) Stddev tput-16 25608.58 ( 0.00%) 6851.16 ( 73.25%) Stddev tput-24 12117.69 ( 0.00%) 4227.79 ( 65.11%) Stddev tput-32 27577.16 ( 0.00%) 8761.05 ( 68.23%) Stddev tput-40 59505.86 ( 0.00%) 2048.49 ( 96.56%) Stddev tput-48 168330.30 ( 0.00%) 93058.08 ( 44.72%) Stddev tput-56 219540.39 ( 0.00%) 30687.02 ( 86.02%) Stddev tput-64 121750.35 ( 0.00%) 9617.36 ( 92.10%) Stddev tput-72 223387.05 ( 0.00%) 34081.13 ( 84.74%) Stddev tput-80 128198.46 ( 0.00%) 22565.19 ( 82.40%) Stddev tput-88 136665.36 ( 0.00%) 27905.97 ( 79.58%) Stddev tput-96 111925.81 ( 0.00%) 99615.79 ( 11.00%) Stddev tput-104 146455.96 ( 0.00%) 28861.98 ( 80.29%) Stddev tput-112 88740.49 ( 0.00%) 58288.23 ( 34.32%) Stddev tput-120 186384.86 ( 0.00%) 45812.03 ( 75.42%) Stddev tput-128 78761.09 ( 0.00%) 57418.48 ( 27.10%) Similarly, for embarassingly parallel problems like NPB-ep, there are improvements due to better spreading across LLC when the machine is not fully utilised. vanilla sched-numaimb-v6 Min ep.D 31.79 ( 0.00%) 26.11 ( 17.87%) Amean ep.D 31.86 ( 0.00%) 26.17 * 17.86%* Stddev ep.D 0.07 ( 0.00%) 0.05 ( 24.41%) CoeffVar ep.D 0.22 ( 0.00%) 0.20 ( 7.97%) Max ep.D 31.93 ( 0.00%) 26.21 ( 17.91%) Signed-off-by: Mel Gorman <mgorman@techsingularity.net> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Gautham R. Shenoy <gautham.shenoy@amd.com> Tested-by: K Prateek Nayak <kprateek.nayak@amd.com> Link: https://lore.kernel.org/r/20220208094334.16379-3-mgorman@techsingularity.net
2022-02-08 09:43:34 +00:00
*
* For multiple LLCs, allow an imbalance
* until multiple tasks would share an LLC
* on one node while LLCs on another node
sched/numa: Adjust imb_numa_nr to a better approximation of memory channels For a single LLC per node, a NUMA imbalance is allowed up until 25% of CPUs sharing a node could be active. One intent of the cut-off is to avoid an imbalance of memory channels but there is no topological information based on active memory channels. Furthermore, there can be differences between nodes depending on the number of populated DIMMs. A cut-off of 25% was arbitrary but generally worked. It does have a severe corner cases though when an parallel workload is using 25% of all available CPUs over-saturates memory channels. This can happen due to the initial forking of tasks that get pulled more to one node after early wakeups (e.g. a barrier synchronisation) that is not quickly corrected by the load balancer. The LB may fail to act quickly as the parallel tasks are considered to be poor migrate candidates due to locality or cache hotness. On a range of modern Intel CPUs, 12.5% appears to be a better cut-off assuming all memory channels are populated and is used as the new cut-off point. A minimum of 1 is specified to allow a communicating pair to remain local even for CPUs with low numbers of cores. For modern AMDs, there are multiple LLCs and are not affected. Signed-off-by: Mel Gorman <mgorman@techsingularity.net> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Tested-by: K Prateek Nayak <kprateek.nayak@amd.com> Link: https://lore.kernel.org/r/20220520103519.1863-5-mgorman@techsingularity.net
2022-05-20 10:35:19 +00:00
* remain idle. This assumes that there are
* enough logical CPUs per LLC to avoid SMT
* factors and that there is a correlation
* between LLCs and memory channels.
sched/fair: Adjust the allowed NUMA imbalance when SD_NUMA spans multiple LLCs Commit 7d2b5dd0bcc4 ("sched/numa: Allow a floating imbalance between NUMA nodes") allowed an imbalance between NUMA nodes such that communicating tasks would not be pulled apart by the load balancer. This works fine when there is a 1:1 relationship between LLC and node but can be suboptimal for multiple LLCs if independent tasks prematurely use CPUs sharing cache. Zen* has multiple LLCs per node with local memory channels and due to the allowed imbalance, it's far harder to tune some workloads to run optimally than it is on hardware that has 1 LLC per node. This patch allows an imbalance to exist up to the point where LLCs should be balanced between nodes. On a Zen3 machine running STREAM parallelised with OMP to have on instance per LLC the results and without binding, the results are 5.17.0-rc0 5.17.0-rc0 vanilla sched-numaimb-v6 MB/sec copy-16 162596.94 ( 0.00%) 580559.74 ( 257.05%) MB/sec scale-16 136901.28 ( 0.00%) 374450.52 ( 173.52%) MB/sec add-16 157300.70 ( 0.00%) 564113.76 ( 258.62%) MB/sec triad-16 151446.88 ( 0.00%) 564304.24 ( 272.61%) STREAM can use directives to force the spread if the OpenMP is new enough but that doesn't help if an application uses threads and it's not known in advance how many threads will be created. Coremark is a CPU and cache intensive benchmark parallelised with threads. When running with 1 thread per core, the vanilla kernel allows threads to contend on cache. With the patch; 5.17.0-rc0 5.17.0-rc0 vanilla sched-numaimb-v5 Min Score-16 368239.36 ( 0.00%) 389816.06 ( 5.86%) Hmean Score-16 388607.33 ( 0.00%) 427877.08 * 10.11%* Max Score-16 408945.69 ( 0.00%) 481022.17 ( 17.62%) Stddev Score-16 15247.04 ( 0.00%) 24966.82 ( -63.75%) CoeffVar Score-16 3.92 ( 0.00%) 5.82 ( -48.48%) It can also make a big difference for semi-realistic workloads like specjbb which can execute arbitrary numbers of threads without advance knowledge of how they should be placed. Even in cases where the average performance is neutral, the results are more stable. 5.17.0-rc0 5.17.0-rc0 vanilla sched-numaimb-v6 Hmean tput-1 71631.55 ( 0.00%) 73065.57 ( 2.00%) Hmean tput-8 582758.78 ( 0.00%) 556777.23 ( -4.46%) Hmean tput-16 1020372.75 ( 0.00%) 1009995.26 ( -1.02%) Hmean tput-24 1416430.67 ( 0.00%) 1398700.11 ( -1.25%) Hmean tput-32 1687702.72 ( 0.00%) 1671357.04 ( -0.97%) Hmean tput-40 1798094.90 ( 0.00%) 2015616.46 * 12.10%* Hmean tput-48 1972731.77 ( 0.00%) 2333233.72 ( 18.27%) Hmean tput-56 2386872.38 ( 0.00%) 2759483.38 ( 15.61%) Hmean tput-64 2909475.33 ( 0.00%) 2925074.69 ( 0.54%) Hmean tput-72 2585071.36 ( 0.00%) 2962443.97 ( 14.60%) Hmean tput-80 2994387.24 ( 0.00%) 3015980.59 ( 0.72%) Hmean tput-88 3061408.57 ( 0.00%) 3010296.16 ( -1.67%) Hmean tput-96 3052394.82 ( 0.00%) 2784743.41 ( -8.77%) Hmean tput-104 2997814.76 ( 0.00%) 2758184.50 ( -7.99%) Hmean tput-112 2955353.29 ( 0.00%) 2859705.09 ( -3.24%) Hmean tput-120 2889770.71 ( 0.00%) 2764478.46 ( -4.34%) Hmean tput-128 2871713.84 ( 0.00%) 2750136.73 ( -4.23%) Stddev tput-1 5325.93 ( 0.00%) 2002.53 ( 62.40%) Stddev tput-8 6630.54 ( 0.00%) 10905.00 ( -64.47%) Stddev tput-16 25608.58 ( 0.00%) 6851.16 ( 73.25%) Stddev tput-24 12117.69 ( 0.00%) 4227.79 ( 65.11%) Stddev tput-32 27577.16 ( 0.00%) 8761.05 ( 68.23%) Stddev tput-40 59505.86 ( 0.00%) 2048.49 ( 96.56%) Stddev tput-48 168330.30 ( 0.00%) 93058.08 ( 44.72%) Stddev tput-56 219540.39 ( 0.00%) 30687.02 ( 86.02%) Stddev tput-64 121750.35 ( 0.00%) 9617.36 ( 92.10%) Stddev tput-72 223387.05 ( 0.00%) 34081.13 ( 84.74%) Stddev tput-80 128198.46 ( 0.00%) 22565.19 ( 82.40%) Stddev tput-88 136665.36 ( 0.00%) 27905.97 ( 79.58%) Stddev tput-96 111925.81 ( 0.00%) 99615.79 ( 11.00%) Stddev tput-104 146455.96 ( 0.00%) 28861.98 ( 80.29%) Stddev tput-112 88740.49 ( 0.00%) 58288.23 ( 34.32%) Stddev tput-120 186384.86 ( 0.00%) 45812.03 ( 75.42%) Stddev tput-128 78761.09 ( 0.00%) 57418.48 ( 27.10%) Similarly, for embarassingly parallel problems like NPB-ep, there are improvements due to better spreading across LLC when the machine is not fully utilised. vanilla sched-numaimb-v6 Min ep.D 31.79 ( 0.00%) 26.11 ( 17.87%) Amean ep.D 31.86 ( 0.00%) 26.17 * 17.86%* Stddev ep.D 0.07 ( 0.00%) 0.05 ( 24.41%) CoeffVar ep.D 0.22 ( 0.00%) 0.20 ( 7.97%) Max ep.D 31.93 ( 0.00%) 26.21 ( 17.91%) Signed-off-by: Mel Gorman <mgorman@techsingularity.net> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Gautham R. Shenoy <gautham.shenoy@amd.com> Tested-by: K Prateek Nayak <kprateek.nayak@amd.com> Link: https://lore.kernel.org/r/20220208094334.16379-3-mgorman@techsingularity.net
2022-02-08 09:43:34 +00:00
*/
nr_llcs = sd->span_weight / child->span_weight;
if (nr_llcs == 1)
sched/numa: Adjust imb_numa_nr to a better approximation of memory channels For a single LLC per node, a NUMA imbalance is allowed up until 25% of CPUs sharing a node could be active. One intent of the cut-off is to avoid an imbalance of memory channels but there is no topological information based on active memory channels. Furthermore, there can be differences between nodes depending on the number of populated DIMMs. A cut-off of 25% was arbitrary but generally worked. It does have a severe corner cases though when an parallel workload is using 25% of all available CPUs over-saturates memory channels. This can happen due to the initial forking of tasks that get pulled more to one node after early wakeups (e.g. a barrier synchronisation) that is not quickly corrected by the load balancer. The LB may fail to act quickly as the parallel tasks are considered to be poor migrate candidates due to locality or cache hotness. On a range of modern Intel CPUs, 12.5% appears to be a better cut-off assuming all memory channels are populated and is used as the new cut-off point. A minimum of 1 is specified to allow a communicating pair to remain local even for CPUs with low numbers of cores. For modern AMDs, there are multiple LLCs and are not affected. Signed-off-by: Mel Gorman <mgorman@techsingularity.net> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Tested-by: K Prateek Nayak <kprateek.nayak@amd.com> Link: https://lore.kernel.org/r/20220520103519.1863-5-mgorman@techsingularity.net
2022-05-20 10:35:19 +00:00
imb = sd->span_weight >> 3;
sched/fair: Adjust the allowed NUMA imbalance when SD_NUMA spans multiple LLCs Commit 7d2b5dd0bcc4 ("sched/numa: Allow a floating imbalance between NUMA nodes") allowed an imbalance between NUMA nodes such that communicating tasks would not be pulled apart by the load balancer. This works fine when there is a 1:1 relationship between LLC and node but can be suboptimal for multiple LLCs if independent tasks prematurely use CPUs sharing cache. Zen* has multiple LLCs per node with local memory channels and due to the allowed imbalance, it's far harder to tune some workloads to run optimally than it is on hardware that has 1 LLC per node. This patch allows an imbalance to exist up to the point where LLCs should be balanced between nodes. On a Zen3 machine running STREAM parallelised with OMP to have on instance per LLC the results and without binding, the results are 5.17.0-rc0 5.17.0-rc0 vanilla sched-numaimb-v6 MB/sec copy-16 162596.94 ( 0.00%) 580559.74 ( 257.05%) MB/sec scale-16 136901.28 ( 0.00%) 374450.52 ( 173.52%) MB/sec add-16 157300.70 ( 0.00%) 564113.76 ( 258.62%) MB/sec triad-16 151446.88 ( 0.00%) 564304.24 ( 272.61%) STREAM can use directives to force the spread if the OpenMP is new enough but that doesn't help if an application uses threads and it's not known in advance how many threads will be created. Coremark is a CPU and cache intensive benchmark parallelised with threads. When running with 1 thread per core, the vanilla kernel allows threads to contend on cache. With the patch; 5.17.0-rc0 5.17.0-rc0 vanilla sched-numaimb-v5 Min Score-16 368239.36 ( 0.00%) 389816.06 ( 5.86%) Hmean Score-16 388607.33 ( 0.00%) 427877.08 * 10.11%* Max Score-16 408945.69 ( 0.00%) 481022.17 ( 17.62%) Stddev Score-16 15247.04 ( 0.00%) 24966.82 ( -63.75%) CoeffVar Score-16 3.92 ( 0.00%) 5.82 ( -48.48%) It can also make a big difference for semi-realistic workloads like specjbb which can execute arbitrary numbers of threads without advance knowledge of how they should be placed. Even in cases where the average performance is neutral, the results are more stable. 5.17.0-rc0 5.17.0-rc0 vanilla sched-numaimb-v6 Hmean tput-1 71631.55 ( 0.00%) 73065.57 ( 2.00%) Hmean tput-8 582758.78 ( 0.00%) 556777.23 ( -4.46%) Hmean tput-16 1020372.75 ( 0.00%) 1009995.26 ( -1.02%) Hmean tput-24 1416430.67 ( 0.00%) 1398700.11 ( -1.25%) Hmean tput-32 1687702.72 ( 0.00%) 1671357.04 ( -0.97%) Hmean tput-40 1798094.90 ( 0.00%) 2015616.46 * 12.10%* Hmean tput-48 1972731.77 ( 0.00%) 2333233.72 ( 18.27%) Hmean tput-56 2386872.38 ( 0.00%) 2759483.38 ( 15.61%) Hmean tput-64 2909475.33 ( 0.00%) 2925074.69 ( 0.54%) Hmean tput-72 2585071.36 ( 0.00%) 2962443.97 ( 14.60%) Hmean tput-80 2994387.24 ( 0.00%) 3015980.59 ( 0.72%) Hmean tput-88 3061408.57 ( 0.00%) 3010296.16 ( -1.67%) Hmean tput-96 3052394.82 ( 0.00%) 2784743.41 ( -8.77%) Hmean tput-104 2997814.76 ( 0.00%) 2758184.50 ( -7.99%) Hmean tput-112 2955353.29 ( 0.00%) 2859705.09 ( -3.24%) Hmean tput-120 2889770.71 ( 0.00%) 2764478.46 ( -4.34%) Hmean tput-128 2871713.84 ( 0.00%) 2750136.73 ( -4.23%) Stddev tput-1 5325.93 ( 0.00%) 2002.53 ( 62.40%) Stddev tput-8 6630.54 ( 0.00%) 10905.00 ( -64.47%) Stddev tput-16 25608.58 ( 0.00%) 6851.16 ( 73.25%) Stddev tput-24 12117.69 ( 0.00%) 4227.79 ( 65.11%) Stddev tput-32 27577.16 ( 0.00%) 8761.05 ( 68.23%) Stddev tput-40 59505.86 ( 0.00%) 2048.49 ( 96.56%) Stddev tput-48 168330.30 ( 0.00%) 93058.08 ( 44.72%) Stddev tput-56 219540.39 ( 0.00%) 30687.02 ( 86.02%) Stddev tput-64 121750.35 ( 0.00%) 9617.36 ( 92.10%) Stddev tput-72 223387.05 ( 0.00%) 34081.13 ( 84.74%) Stddev tput-80 128198.46 ( 0.00%) 22565.19 ( 82.40%) Stddev tput-88 136665.36 ( 0.00%) 27905.97 ( 79.58%) Stddev tput-96 111925.81 ( 0.00%) 99615.79 ( 11.00%) Stddev tput-104 146455.96 ( 0.00%) 28861.98 ( 80.29%) Stddev tput-112 88740.49 ( 0.00%) 58288.23 ( 34.32%) Stddev tput-120 186384.86 ( 0.00%) 45812.03 ( 75.42%) Stddev tput-128 78761.09 ( 0.00%) 57418.48 ( 27.10%) Similarly, for embarassingly parallel problems like NPB-ep, there are improvements due to better spreading across LLC when the machine is not fully utilised. vanilla sched-numaimb-v6 Min ep.D 31.79 ( 0.00%) 26.11 ( 17.87%) Amean ep.D 31.86 ( 0.00%) 26.17 * 17.86%* Stddev ep.D 0.07 ( 0.00%) 0.05 ( 24.41%) CoeffVar ep.D 0.22 ( 0.00%) 0.20 ( 7.97%) Max ep.D 31.93 ( 0.00%) 26.21 ( 17.91%) Signed-off-by: Mel Gorman <mgorman@techsingularity.net> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Gautham R. Shenoy <gautham.shenoy@amd.com> Tested-by: K Prateek Nayak <kprateek.nayak@amd.com> Link: https://lore.kernel.org/r/20220208094334.16379-3-mgorman@techsingularity.net
2022-02-08 09:43:34 +00:00
else
imb = nr_llcs;
sched/numa: Adjust imb_numa_nr to a better approximation of memory channels For a single LLC per node, a NUMA imbalance is allowed up until 25% of CPUs sharing a node could be active. One intent of the cut-off is to avoid an imbalance of memory channels but there is no topological information based on active memory channels. Furthermore, there can be differences between nodes depending on the number of populated DIMMs. A cut-off of 25% was arbitrary but generally worked. It does have a severe corner cases though when an parallel workload is using 25% of all available CPUs over-saturates memory channels. This can happen due to the initial forking of tasks that get pulled more to one node after early wakeups (e.g. a barrier synchronisation) that is not quickly corrected by the load balancer. The LB may fail to act quickly as the parallel tasks are considered to be poor migrate candidates due to locality or cache hotness. On a range of modern Intel CPUs, 12.5% appears to be a better cut-off assuming all memory channels are populated and is used as the new cut-off point. A minimum of 1 is specified to allow a communicating pair to remain local even for CPUs with low numbers of cores. For modern AMDs, there are multiple LLCs and are not affected. Signed-off-by: Mel Gorman <mgorman@techsingularity.net> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Tested-by: K Prateek Nayak <kprateek.nayak@amd.com> Link: https://lore.kernel.org/r/20220520103519.1863-5-mgorman@techsingularity.net
2022-05-20 10:35:19 +00:00
imb = max(1U, imb);
sched/fair: Adjust the allowed NUMA imbalance when SD_NUMA spans multiple LLCs Commit 7d2b5dd0bcc4 ("sched/numa: Allow a floating imbalance between NUMA nodes") allowed an imbalance between NUMA nodes such that communicating tasks would not be pulled apart by the load balancer. This works fine when there is a 1:1 relationship between LLC and node but can be suboptimal for multiple LLCs if independent tasks prematurely use CPUs sharing cache. Zen* has multiple LLCs per node with local memory channels and due to the allowed imbalance, it's far harder to tune some workloads to run optimally than it is on hardware that has 1 LLC per node. This patch allows an imbalance to exist up to the point where LLCs should be balanced between nodes. On a Zen3 machine running STREAM parallelised with OMP to have on instance per LLC the results and without binding, the results are 5.17.0-rc0 5.17.0-rc0 vanilla sched-numaimb-v6 MB/sec copy-16 162596.94 ( 0.00%) 580559.74 ( 257.05%) MB/sec scale-16 136901.28 ( 0.00%) 374450.52 ( 173.52%) MB/sec add-16 157300.70 ( 0.00%) 564113.76 ( 258.62%) MB/sec triad-16 151446.88 ( 0.00%) 564304.24 ( 272.61%) STREAM can use directives to force the spread if the OpenMP is new enough but that doesn't help if an application uses threads and it's not known in advance how many threads will be created. Coremark is a CPU and cache intensive benchmark parallelised with threads. When running with 1 thread per core, the vanilla kernel allows threads to contend on cache. With the patch; 5.17.0-rc0 5.17.0-rc0 vanilla sched-numaimb-v5 Min Score-16 368239.36 ( 0.00%) 389816.06 ( 5.86%) Hmean Score-16 388607.33 ( 0.00%) 427877.08 * 10.11%* Max Score-16 408945.69 ( 0.00%) 481022.17 ( 17.62%) Stddev Score-16 15247.04 ( 0.00%) 24966.82 ( -63.75%) CoeffVar Score-16 3.92 ( 0.00%) 5.82 ( -48.48%) It can also make a big difference for semi-realistic workloads like specjbb which can execute arbitrary numbers of threads without advance knowledge of how they should be placed. Even in cases where the average performance is neutral, the results are more stable. 5.17.0-rc0 5.17.0-rc0 vanilla sched-numaimb-v6 Hmean tput-1 71631.55 ( 0.00%) 73065.57 ( 2.00%) Hmean tput-8 582758.78 ( 0.00%) 556777.23 ( -4.46%) Hmean tput-16 1020372.75 ( 0.00%) 1009995.26 ( -1.02%) Hmean tput-24 1416430.67 ( 0.00%) 1398700.11 ( -1.25%) Hmean tput-32 1687702.72 ( 0.00%) 1671357.04 ( -0.97%) Hmean tput-40 1798094.90 ( 0.00%) 2015616.46 * 12.10%* Hmean tput-48 1972731.77 ( 0.00%) 2333233.72 ( 18.27%) Hmean tput-56 2386872.38 ( 0.00%) 2759483.38 ( 15.61%) Hmean tput-64 2909475.33 ( 0.00%) 2925074.69 ( 0.54%) Hmean tput-72 2585071.36 ( 0.00%) 2962443.97 ( 14.60%) Hmean tput-80 2994387.24 ( 0.00%) 3015980.59 ( 0.72%) Hmean tput-88 3061408.57 ( 0.00%) 3010296.16 ( -1.67%) Hmean tput-96 3052394.82 ( 0.00%) 2784743.41 ( -8.77%) Hmean tput-104 2997814.76 ( 0.00%) 2758184.50 ( -7.99%) Hmean tput-112 2955353.29 ( 0.00%) 2859705.09 ( -3.24%) Hmean tput-120 2889770.71 ( 0.00%) 2764478.46 ( -4.34%) Hmean tput-128 2871713.84 ( 0.00%) 2750136.73 ( -4.23%) Stddev tput-1 5325.93 ( 0.00%) 2002.53 ( 62.40%) Stddev tput-8 6630.54 ( 0.00%) 10905.00 ( -64.47%) Stddev tput-16 25608.58 ( 0.00%) 6851.16 ( 73.25%) Stddev tput-24 12117.69 ( 0.00%) 4227.79 ( 65.11%) Stddev tput-32 27577.16 ( 0.00%) 8761.05 ( 68.23%) Stddev tput-40 59505.86 ( 0.00%) 2048.49 ( 96.56%) Stddev tput-48 168330.30 ( 0.00%) 93058.08 ( 44.72%) Stddev tput-56 219540.39 ( 0.00%) 30687.02 ( 86.02%) Stddev tput-64 121750.35 ( 0.00%) 9617.36 ( 92.10%) Stddev tput-72 223387.05 ( 0.00%) 34081.13 ( 84.74%) Stddev tput-80 128198.46 ( 0.00%) 22565.19 ( 82.40%) Stddev tput-88 136665.36 ( 0.00%) 27905.97 ( 79.58%) Stddev tput-96 111925.81 ( 0.00%) 99615.79 ( 11.00%) Stddev tput-104 146455.96 ( 0.00%) 28861.98 ( 80.29%) Stddev tput-112 88740.49 ( 0.00%) 58288.23 ( 34.32%) Stddev tput-120 186384.86 ( 0.00%) 45812.03 ( 75.42%) Stddev tput-128 78761.09 ( 0.00%) 57418.48 ( 27.10%) Similarly, for embarassingly parallel problems like NPB-ep, there are improvements due to better spreading across LLC when the machine is not fully utilised. vanilla sched-numaimb-v6 Min ep.D 31.79 ( 0.00%) 26.11 ( 17.87%) Amean ep.D 31.86 ( 0.00%) 26.17 * 17.86%* Stddev ep.D 0.07 ( 0.00%) 0.05 ( 24.41%) CoeffVar ep.D 0.22 ( 0.00%) 0.20 ( 7.97%) Max ep.D 31.93 ( 0.00%) 26.21 ( 17.91%) Signed-off-by: Mel Gorman <mgorman@techsingularity.net> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Gautham R. Shenoy <gautham.shenoy@amd.com> Tested-by: K Prateek Nayak <kprateek.nayak@amd.com> Link: https://lore.kernel.org/r/20220208094334.16379-3-mgorman@techsingularity.net
2022-02-08 09:43:34 +00:00
sd->imb_numa_nr = imb;
/* Set span based on the first NUMA domain. */
top_p = sd->parent;
sched/fair: Adjust the allowed NUMA imbalance when SD_NUMA spans multiple LLCs Commit 7d2b5dd0bcc4 ("sched/numa: Allow a floating imbalance between NUMA nodes") allowed an imbalance between NUMA nodes such that communicating tasks would not be pulled apart by the load balancer. This works fine when there is a 1:1 relationship between LLC and node but can be suboptimal for multiple LLCs if independent tasks prematurely use CPUs sharing cache. Zen* has multiple LLCs per node with local memory channels and due to the allowed imbalance, it's far harder to tune some workloads to run optimally than it is on hardware that has 1 LLC per node. This patch allows an imbalance to exist up to the point where LLCs should be balanced between nodes. On a Zen3 machine running STREAM parallelised with OMP to have on instance per LLC the results and without binding, the results are 5.17.0-rc0 5.17.0-rc0 vanilla sched-numaimb-v6 MB/sec copy-16 162596.94 ( 0.00%) 580559.74 ( 257.05%) MB/sec scale-16 136901.28 ( 0.00%) 374450.52 ( 173.52%) MB/sec add-16 157300.70 ( 0.00%) 564113.76 ( 258.62%) MB/sec triad-16 151446.88 ( 0.00%) 564304.24 ( 272.61%) STREAM can use directives to force the spread if the OpenMP is new enough but that doesn't help if an application uses threads and it's not known in advance how many threads will be created. Coremark is a CPU and cache intensive benchmark parallelised with threads. When running with 1 thread per core, the vanilla kernel allows threads to contend on cache. With the patch; 5.17.0-rc0 5.17.0-rc0 vanilla sched-numaimb-v5 Min Score-16 368239.36 ( 0.00%) 389816.06 ( 5.86%) Hmean Score-16 388607.33 ( 0.00%) 427877.08 * 10.11%* Max Score-16 408945.69 ( 0.00%) 481022.17 ( 17.62%) Stddev Score-16 15247.04 ( 0.00%) 24966.82 ( -63.75%) CoeffVar Score-16 3.92 ( 0.00%) 5.82 ( -48.48%) It can also make a big difference for semi-realistic workloads like specjbb which can execute arbitrary numbers of threads without advance knowledge of how they should be placed. Even in cases where the average performance is neutral, the results are more stable. 5.17.0-rc0 5.17.0-rc0 vanilla sched-numaimb-v6 Hmean tput-1 71631.55 ( 0.00%) 73065.57 ( 2.00%) Hmean tput-8 582758.78 ( 0.00%) 556777.23 ( -4.46%) Hmean tput-16 1020372.75 ( 0.00%) 1009995.26 ( -1.02%) Hmean tput-24 1416430.67 ( 0.00%) 1398700.11 ( -1.25%) Hmean tput-32 1687702.72 ( 0.00%) 1671357.04 ( -0.97%) Hmean tput-40 1798094.90 ( 0.00%) 2015616.46 * 12.10%* Hmean tput-48 1972731.77 ( 0.00%) 2333233.72 ( 18.27%) Hmean tput-56 2386872.38 ( 0.00%) 2759483.38 ( 15.61%) Hmean tput-64 2909475.33 ( 0.00%) 2925074.69 ( 0.54%) Hmean tput-72 2585071.36 ( 0.00%) 2962443.97 ( 14.60%) Hmean tput-80 2994387.24 ( 0.00%) 3015980.59 ( 0.72%) Hmean tput-88 3061408.57 ( 0.00%) 3010296.16 ( -1.67%) Hmean tput-96 3052394.82 ( 0.00%) 2784743.41 ( -8.77%) Hmean tput-104 2997814.76 ( 0.00%) 2758184.50 ( -7.99%) Hmean tput-112 2955353.29 ( 0.00%) 2859705.09 ( -3.24%) Hmean tput-120 2889770.71 ( 0.00%) 2764478.46 ( -4.34%) Hmean tput-128 2871713.84 ( 0.00%) 2750136.73 ( -4.23%) Stddev tput-1 5325.93 ( 0.00%) 2002.53 ( 62.40%) Stddev tput-8 6630.54 ( 0.00%) 10905.00 ( -64.47%) Stddev tput-16 25608.58 ( 0.00%) 6851.16 ( 73.25%) Stddev tput-24 12117.69 ( 0.00%) 4227.79 ( 65.11%) Stddev tput-32 27577.16 ( 0.00%) 8761.05 ( 68.23%) Stddev tput-40 59505.86 ( 0.00%) 2048.49 ( 96.56%) Stddev tput-48 168330.30 ( 0.00%) 93058.08 ( 44.72%) Stddev tput-56 219540.39 ( 0.00%) 30687.02 ( 86.02%) Stddev tput-64 121750.35 ( 0.00%) 9617.36 ( 92.10%) Stddev tput-72 223387.05 ( 0.00%) 34081.13 ( 84.74%) Stddev tput-80 128198.46 ( 0.00%) 22565.19 ( 82.40%) Stddev tput-88 136665.36 ( 0.00%) 27905.97 ( 79.58%) Stddev tput-96 111925.81 ( 0.00%) 99615.79 ( 11.00%) Stddev tput-104 146455.96 ( 0.00%) 28861.98 ( 80.29%) Stddev tput-112 88740.49 ( 0.00%) 58288.23 ( 34.32%) Stddev tput-120 186384.86 ( 0.00%) 45812.03 ( 75.42%) Stddev tput-128 78761.09 ( 0.00%) 57418.48 ( 27.10%) Similarly, for embarassingly parallel problems like NPB-ep, there are improvements due to better spreading across LLC when the machine is not fully utilised. vanilla sched-numaimb-v6 Min ep.D 31.79 ( 0.00%) 26.11 ( 17.87%) Amean ep.D 31.86 ( 0.00%) 26.17 * 17.86%* Stddev ep.D 0.07 ( 0.00%) 0.05 ( 24.41%) CoeffVar ep.D 0.22 ( 0.00%) 0.20 ( 7.97%) Max ep.D 31.93 ( 0.00%) 26.21 ( 17.91%) Signed-off-by: Mel Gorman <mgorman@techsingularity.net> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Gautham R. Shenoy <gautham.shenoy@amd.com> Tested-by: K Prateek Nayak <kprateek.nayak@amd.com> Link: https://lore.kernel.org/r/20220208094334.16379-3-mgorman@techsingularity.net
2022-02-08 09:43:34 +00:00
while (top_p && !(top_p->flags & SD_NUMA)) {
top_p = top_p->parent;
sched/fair: Adjust the allowed NUMA imbalance when SD_NUMA spans multiple LLCs Commit 7d2b5dd0bcc4 ("sched/numa: Allow a floating imbalance between NUMA nodes") allowed an imbalance between NUMA nodes such that communicating tasks would not be pulled apart by the load balancer. This works fine when there is a 1:1 relationship between LLC and node but can be suboptimal for multiple LLCs if independent tasks prematurely use CPUs sharing cache. Zen* has multiple LLCs per node with local memory channels and due to the allowed imbalance, it's far harder to tune some workloads to run optimally than it is on hardware that has 1 LLC per node. This patch allows an imbalance to exist up to the point where LLCs should be balanced between nodes. On a Zen3 machine running STREAM parallelised with OMP to have on instance per LLC the results and without binding, the results are 5.17.0-rc0 5.17.0-rc0 vanilla sched-numaimb-v6 MB/sec copy-16 162596.94 ( 0.00%) 580559.74 ( 257.05%) MB/sec scale-16 136901.28 ( 0.00%) 374450.52 ( 173.52%) MB/sec add-16 157300.70 ( 0.00%) 564113.76 ( 258.62%) MB/sec triad-16 151446.88 ( 0.00%) 564304.24 ( 272.61%) STREAM can use directives to force the spread if the OpenMP is new enough but that doesn't help if an application uses threads and it's not known in advance how many threads will be created. Coremark is a CPU and cache intensive benchmark parallelised with threads. When running with 1 thread per core, the vanilla kernel allows threads to contend on cache. With the patch; 5.17.0-rc0 5.17.0-rc0 vanilla sched-numaimb-v5 Min Score-16 368239.36 ( 0.00%) 389816.06 ( 5.86%) Hmean Score-16 388607.33 ( 0.00%) 427877.08 * 10.11%* Max Score-16 408945.69 ( 0.00%) 481022.17 ( 17.62%) Stddev Score-16 15247.04 ( 0.00%) 24966.82 ( -63.75%) CoeffVar Score-16 3.92 ( 0.00%) 5.82 ( -48.48%) It can also make a big difference for semi-realistic workloads like specjbb which can execute arbitrary numbers of threads without advance knowledge of how they should be placed. Even in cases where the average performance is neutral, the results are more stable. 5.17.0-rc0 5.17.0-rc0 vanilla sched-numaimb-v6 Hmean tput-1 71631.55 ( 0.00%) 73065.57 ( 2.00%) Hmean tput-8 582758.78 ( 0.00%) 556777.23 ( -4.46%) Hmean tput-16 1020372.75 ( 0.00%) 1009995.26 ( -1.02%) Hmean tput-24 1416430.67 ( 0.00%) 1398700.11 ( -1.25%) Hmean tput-32 1687702.72 ( 0.00%) 1671357.04 ( -0.97%) Hmean tput-40 1798094.90 ( 0.00%) 2015616.46 * 12.10%* Hmean tput-48 1972731.77 ( 0.00%) 2333233.72 ( 18.27%) Hmean tput-56 2386872.38 ( 0.00%) 2759483.38 ( 15.61%) Hmean tput-64 2909475.33 ( 0.00%) 2925074.69 ( 0.54%) Hmean tput-72 2585071.36 ( 0.00%) 2962443.97 ( 14.60%) Hmean tput-80 2994387.24 ( 0.00%) 3015980.59 ( 0.72%) Hmean tput-88 3061408.57 ( 0.00%) 3010296.16 ( -1.67%) Hmean tput-96 3052394.82 ( 0.00%) 2784743.41 ( -8.77%) Hmean tput-104 2997814.76 ( 0.00%) 2758184.50 ( -7.99%) Hmean tput-112 2955353.29 ( 0.00%) 2859705.09 ( -3.24%) Hmean tput-120 2889770.71 ( 0.00%) 2764478.46 ( -4.34%) Hmean tput-128 2871713.84 ( 0.00%) 2750136.73 ( -4.23%) Stddev tput-1 5325.93 ( 0.00%) 2002.53 ( 62.40%) Stddev tput-8 6630.54 ( 0.00%) 10905.00 ( -64.47%) Stddev tput-16 25608.58 ( 0.00%) 6851.16 ( 73.25%) Stddev tput-24 12117.69 ( 0.00%) 4227.79 ( 65.11%) Stddev tput-32 27577.16 ( 0.00%) 8761.05 ( 68.23%) Stddev tput-40 59505.86 ( 0.00%) 2048.49 ( 96.56%) Stddev tput-48 168330.30 ( 0.00%) 93058.08 ( 44.72%) Stddev tput-56 219540.39 ( 0.00%) 30687.02 ( 86.02%) Stddev tput-64 121750.35 ( 0.00%) 9617.36 ( 92.10%) Stddev tput-72 223387.05 ( 0.00%) 34081.13 ( 84.74%) Stddev tput-80 128198.46 ( 0.00%) 22565.19 ( 82.40%) Stddev tput-88 136665.36 ( 0.00%) 27905.97 ( 79.58%) Stddev tput-96 111925.81 ( 0.00%) 99615.79 ( 11.00%) Stddev tput-104 146455.96 ( 0.00%) 28861.98 ( 80.29%) Stddev tput-112 88740.49 ( 0.00%) 58288.23 ( 34.32%) Stddev tput-120 186384.86 ( 0.00%) 45812.03 ( 75.42%) Stddev tput-128 78761.09 ( 0.00%) 57418.48 ( 27.10%) Similarly, for embarassingly parallel problems like NPB-ep, there are improvements due to better spreading across LLC when the machine is not fully utilised. vanilla sched-numaimb-v6 Min ep.D 31.79 ( 0.00%) 26.11 ( 17.87%) Amean ep.D 31.86 ( 0.00%) 26.17 * 17.86%* Stddev ep.D 0.07 ( 0.00%) 0.05 ( 24.41%) CoeffVar ep.D 0.22 ( 0.00%) 0.20 ( 7.97%) Max ep.D 31.93 ( 0.00%) 26.21 ( 17.91%) Signed-off-by: Mel Gorman <mgorman@techsingularity.net> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Gautham R. Shenoy <gautham.shenoy@amd.com> Tested-by: K Prateek Nayak <kprateek.nayak@amd.com> Link: https://lore.kernel.org/r/20220208094334.16379-3-mgorman@techsingularity.net
2022-02-08 09:43:34 +00:00
}
imb_span = top_p ? top_p->span_weight : sd->span_weight;
} else {
int factor = max(1U, (sd->span_weight / imb_span));
sd->imb_numa_nr = imb * factor;
}
}
}
/* Calculate CPU capacity for physical packages and nodes */
for (i = nr_cpumask_bits-1; i >= 0; i--) {
if (!cpumask_test_cpu(i, cpu_map))
continue;
for (sd = *per_cpu_ptr(d.sd, i); sd; sd = sd->parent) {
claim_allocations(i, sd);
init_sched_groups_capacity(i, sd);
}
}
/* Attach the domains */
rcu_read_lock();
for_each_cpu(i, cpu_map) {
unsigned long capacity;
rq = cpu_rq(i);
sd = *per_cpu_ptr(d.sd, i);
capacity = arch_scale_cpu_capacity(i);
/* Use READ_ONCE()/WRITE_ONCE() to avoid load/store tearing: */
if (capacity > READ_ONCE(d.rd->max_cpu_capacity))
WRITE_ONCE(d.rd->max_cpu_capacity, capacity);
cpu_attach_domain(sd, d.rd, i);
sched/fair: Scan cluster before scanning LLC in wake-up path For platforms having clusters like Kunpeng920, CPUs within the same cluster have lower latency when synchronizing and accessing shared resources like cache. Thus, this patch tries to find an idle cpu within the cluster of the target CPU before scanning the whole LLC to gain lower latency. This will be implemented in 2 steps in select_idle_sibling(): 1. When the prev_cpu/recent_used_cpu are good wakeup candidates, use them if they're sharing cluster with the target CPU. Otherwise trying to scan for an idle CPU in the target's cluster. 2. Scanning the cluster prior to the LLC of the target CPU for an idle CPU to wakeup. Testing has been done on Kunpeng920 by pinning tasks to one numa and two numa. On Kunpeng920, Each numa has 8 clusters and each cluster has 4 CPUs. With this patch, We noticed enhancement on tbench and netperf within one numa or cross two numa on top of tip-sched-core commit 9b46f1abc6d4 ("sched/debug: Print 'tgid' in sched_show_task()") tbench results (node 0): baseline patched 1: 327.2833 372.4623 ( 13.80%) 4: 1320.5933 1479.8833 ( 12.06%) 8: 2638.4867 2921.5267 ( 10.73%) 16: 5282.7133 5891.5633 ( 11.53%) 32: 9810.6733 9877.3400 ( 0.68%) 64: 7408.9367 7447.9900 ( 0.53%) 128: 6203.2600 6191.6500 ( -0.19%) tbench results (node 0-1): baseline patched 1: 332.0433 372.7223 ( 12.25%) 4: 1325.4667 1477.6733 ( 11.48%) 8: 2622.9433 2897.9967 ( 10.49%) 16: 5218.6100 5878.2967 ( 12.64%) 32: 10211.7000 11494.4000 ( 12.56%) 64: 13313.7333 16740.0333 ( 25.74%) 128: 13959.1000 14533.9000 ( 4.12%) netperf results TCP_RR (node 0): baseline patched 1: 76546.5033 90649.9867 ( 18.42%) 4: 77292.4450 90932.7175 ( 17.65%) 8: 77367.7254 90882.3467 ( 17.47%) 16: 78519.9048 90938.8344 ( 15.82%) 32: 72169.5035 72851.6730 ( 0.95%) 64: 25911.2457 25882.2315 ( -0.11%) 128: 10752.6572 10768.6038 ( 0.15%) netperf results TCP_RR (node 0-1): baseline patched 1: 76857.6667 90892.2767 ( 18.26%) 4: 78236.6475 90767.3017 ( 16.02%) 8: 77929.6096 90684.1633 ( 16.37%) 16: 77438.5873 90502.5787 ( 16.87%) 32: 74205.6635 88301.5612 ( 19.00%) 64: 69827.8535 71787.6706 ( 2.81%) 128: 25281.4366 25771.3023 ( 1.94%) netperf results UDP_RR (node 0): baseline patched 1: 96869.8400 110800.8467 ( 14.38%) 4: 97744.9750 109680.5425 ( 12.21%) 8: 98783.9863 110409.9637 ( 11.77%) 16: 99575.0235 110636.2435 ( 11.11%) 32: 95044.7250 97622.8887 ( 2.71%) 64: 32925.2146 32644.4991 ( -0.85%) 128: 12859.2343 12824.0051 ( -0.27%) netperf results UDP_RR (node 0-1): baseline patched 1: 97202.4733 110190.1200 ( 13.36%) 4: 95954.0558 106245.7258 ( 10.73%) 8: 96277.1958 105206.5304 ( 9.27%) 16: 97692.7810 107927.2125 ( 10.48%) 32: 79999.6702 103550.2999 ( 29.44%) 64: 80592.7413 87284.0856 ( 8.30%) 128: 27701.5770 29914.5820 ( 7.99%) Note neither Kunpeng920 nor x86 Jacobsville supports SMT, so the SMT branch in the code has not been tested but it supposed to work. Chen Yu also noticed this will improve the performance of tbench and netperf on a 24 CPUs Jacobsville machine, there are 4 CPUs in one cluster sharing L2 Cache. [https://lore.kernel.org/lkml/Ytfjs+m1kUs0ScSn@worktop.programming.kicks-ass.net] Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Barry Song <song.bao.hua@hisilicon.com> Signed-off-by: Yicong Yang <yangyicong@hisilicon.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Tim Chen <tim.c.chen@linux.intel.com> Reviewed-by: Chen Yu <yu.c.chen@intel.com> Reviewed-by: Gautham R. Shenoy <gautham.shenoy@amd.com> Reviewed-by: Vincent Guittot <vincent.guittot@linaro.org> Tested-and-reviewed-by: Chen Yu <yu.c.chen@intel.com> Tested-by: Yicong Yang <yangyicong@hisilicon.com> Link: https://lkml.kernel.org/r/20231019033323.54147-3-yangyicong@huawei.com
2023-10-19 03:33:22 +00:00
if (lowest_flag_domain(i, SD_CLUSTER))
has_cluster = true;
}
rcu_read_unlock();
if (has_asym)
sched/topology: Allow sched_asym_cpucapacity to be disabled While the static key is correctly initialized as being disabled, it will remain forever enabled once turned on. This means that if we start with an asymmetric system and hotplug out enough CPUs to end up with an SMP system, the static key will remain set - which is obviously wrong. We should detect this and turn off things like misfit migration and capacity aware wakeups. As Quentin pointed out, having separate root domains makes this slightly trickier. We could have exclusive cpusets that create an SMP island - IOW, the domains within this root domain will not see any asymmetry. This means we can't just disable the key on domain destruction, we need to count how many asymmetric root domains we have. Consider the following example using Juno r0 which is 2+4 big.LITTLE, where two identical cpusets are created: they both span both big and LITTLE CPUs: asym0 asym1 [ ][ ] L L B L L B $ cgcreate -g cpuset:asym0 $ cgset -r cpuset.cpus=0,1,3 asym0 $ cgset -r cpuset.mems=0 asym0 $ cgset -r cpuset.cpu_exclusive=1 asym0 $ cgcreate -g cpuset:asym1 $ cgset -r cpuset.cpus=2,4,5 asym1 $ cgset -r cpuset.mems=0 asym1 $ cgset -r cpuset.cpu_exclusive=1 asym1 $ cgset -r cpuset.sched_load_balance=0 . (the CPU numbering may look odd because on the Juno LITTLEs are CPUs 0,3-5 and bigs are CPUs 1-2) If we make one of those SMP (IOW remove asymmetry) by e.g. hotplugging its big core, we would end up with an SMP cpuset and an asymmetric cpuset - the static key must remain set, because we still have one asymmetric root domain. With the above example, this could be done with: $ echo 0 > /sys/devices/system/cpu/cpu2/online Which would result in: asym0 asym1 [ ][ ] L L B L L When both SMP and asymmetric cpusets are present, all CPUs will observe sched_asym_cpucapacity being set (it is system-wide), but not all CPUs observe asymmetry in their sched domain hierarchy: per_cpu(sd_asym_cpucapacity, <any CPU in asym0>) == <some SD at DIE level> per_cpu(sd_asym_cpucapacity, <any CPU in asym1>) == NULL Change the simple key enablement to an increment, and decrement the key counter when destroying domains that cover asymmetric CPUs. Signed-off-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Dietmar Eggemann <dietmar.eggemann@arm.com> Cc: Dietmar.Eggemann@arm.com Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: hannes@cmpxchg.org Cc: lizefan@huawei.com Cc: morten.rasmussen@arm.com Cc: qperret@google.com Cc: tj@kernel.org Cc: vincent.guittot@linaro.org Fixes: df054e8445a4 ("sched/topology: Add static_key for asymmetric CPU capacity optimizations") Link: https://lkml.kernel.org/r/20191023153745.19515-3-valentin.schneider@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2019-10-23 15:37:45 +00:00
static_branch_inc_cpuslocked(&sched_asym_cpucapacity);
sched/fair: Scan cluster before scanning LLC in wake-up path For platforms having clusters like Kunpeng920, CPUs within the same cluster have lower latency when synchronizing and accessing shared resources like cache. Thus, this patch tries to find an idle cpu within the cluster of the target CPU before scanning the whole LLC to gain lower latency. This will be implemented in 2 steps in select_idle_sibling(): 1. When the prev_cpu/recent_used_cpu are good wakeup candidates, use them if they're sharing cluster with the target CPU. Otherwise trying to scan for an idle CPU in the target's cluster. 2. Scanning the cluster prior to the LLC of the target CPU for an idle CPU to wakeup. Testing has been done on Kunpeng920 by pinning tasks to one numa and two numa. On Kunpeng920, Each numa has 8 clusters and each cluster has 4 CPUs. With this patch, We noticed enhancement on tbench and netperf within one numa or cross two numa on top of tip-sched-core commit 9b46f1abc6d4 ("sched/debug: Print 'tgid' in sched_show_task()") tbench results (node 0): baseline patched 1: 327.2833 372.4623 ( 13.80%) 4: 1320.5933 1479.8833 ( 12.06%) 8: 2638.4867 2921.5267 ( 10.73%) 16: 5282.7133 5891.5633 ( 11.53%) 32: 9810.6733 9877.3400 ( 0.68%) 64: 7408.9367 7447.9900 ( 0.53%) 128: 6203.2600 6191.6500 ( -0.19%) tbench results (node 0-1): baseline patched 1: 332.0433 372.7223 ( 12.25%) 4: 1325.4667 1477.6733 ( 11.48%) 8: 2622.9433 2897.9967 ( 10.49%) 16: 5218.6100 5878.2967 ( 12.64%) 32: 10211.7000 11494.4000 ( 12.56%) 64: 13313.7333 16740.0333 ( 25.74%) 128: 13959.1000 14533.9000 ( 4.12%) netperf results TCP_RR (node 0): baseline patched 1: 76546.5033 90649.9867 ( 18.42%) 4: 77292.4450 90932.7175 ( 17.65%) 8: 77367.7254 90882.3467 ( 17.47%) 16: 78519.9048 90938.8344 ( 15.82%) 32: 72169.5035 72851.6730 ( 0.95%) 64: 25911.2457 25882.2315 ( -0.11%) 128: 10752.6572 10768.6038 ( 0.15%) netperf results TCP_RR (node 0-1): baseline patched 1: 76857.6667 90892.2767 ( 18.26%) 4: 78236.6475 90767.3017 ( 16.02%) 8: 77929.6096 90684.1633 ( 16.37%) 16: 77438.5873 90502.5787 ( 16.87%) 32: 74205.6635 88301.5612 ( 19.00%) 64: 69827.8535 71787.6706 ( 2.81%) 128: 25281.4366 25771.3023 ( 1.94%) netperf results UDP_RR (node 0): baseline patched 1: 96869.8400 110800.8467 ( 14.38%) 4: 97744.9750 109680.5425 ( 12.21%) 8: 98783.9863 110409.9637 ( 11.77%) 16: 99575.0235 110636.2435 ( 11.11%) 32: 95044.7250 97622.8887 ( 2.71%) 64: 32925.2146 32644.4991 ( -0.85%) 128: 12859.2343 12824.0051 ( -0.27%) netperf results UDP_RR (node 0-1): baseline patched 1: 97202.4733 110190.1200 ( 13.36%) 4: 95954.0558 106245.7258 ( 10.73%) 8: 96277.1958 105206.5304 ( 9.27%) 16: 97692.7810 107927.2125 ( 10.48%) 32: 79999.6702 103550.2999 ( 29.44%) 64: 80592.7413 87284.0856 ( 8.30%) 128: 27701.5770 29914.5820 ( 7.99%) Note neither Kunpeng920 nor x86 Jacobsville supports SMT, so the SMT branch in the code has not been tested but it supposed to work. Chen Yu also noticed this will improve the performance of tbench and netperf on a 24 CPUs Jacobsville machine, there are 4 CPUs in one cluster sharing L2 Cache. [https://lore.kernel.org/lkml/Ytfjs+m1kUs0ScSn@worktop.programming.kicks-ass.net] Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Barry Song <song.bao.hua@hisilicon.com> Signed-off-by: Yicong Yang <yangyicong@hisilicon.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Tim Chen <tim.c.chen@linux.intel.com> Reviewed-by: Chen Yu <yu.c.chen@intel.com> Reviewed-by: Gautham R. Shenoy <gautham.shenoy@amd.com> Reviewed-by: Vincent Guittot <vincent.guittot@linaro.org> Tested-and-reviewed-by: Chen Yu <yu.c.chen@intel.com> Tested-by: Yicong Yang <yangyicong@hisilicon.com> Link: https://lkml.kernel.org/r/20231019033323.54147-3-yangyicong@huawei.com
2023-10-19 03:33:22 +00:00
if (has_cluster)
static_branch_inc_cpuslocked(&sched_cluster_active);
if (rq && sched_debug_verbose) {
sched/topology: Clarify root domain(s) debug string When scheduler debug is enabled, building scheduling domains outputs information about how the domains are laid out and to which root domain each CPU (or sets of CPUs) belongs, e.g.: CPU0 attaching sched-domain(s): domain-0: span=0-5 level=MC groups: 0:{ span=0 }, 1:{ span=1 }, 2:{ span=2 }, 3:{ span=3 }, 4:{ span=4 }, 5:{ span=5 } CPU1 attaching sched-domain(s): domain-0: span=0-5 level=MC groups: 1:{ span=1 }, 2:{ span=2 }, 3:{ span=3 }, 4:{ span=4 }, 5:{ span=5 }, 0:{ span=0 } [...] span: 0-5 (max cpu_capacity = 1024) The fact that latest line refers to CPUs 0-5 root domain doesn't however look immediately obvious to me: one might wonder why span 0-5 is reported "again". Make it more clear by adding "root domain" to it, as to end with the following: CPU0 attaching sched-domain(s): domain-0: span=0-5 level=MC groups: 0:{ span=0 }, 1:{ span=1 }, 2:{ span=2 }, 3:{ span=3 }, 4:{ span=4 }, 5:{ span=5 } CPU1 attaching sched-domain(s): domain-0: span=0-5 level=MC groups: 1:{ span=1 }, 2:{ span=2 }, 3:{ span=3 }, 4:{ span=4 }, 5:{ span=5 }, 0:{ span=0 } [...] root domain span: 0-5 (max cpu_capacity = 1024) Signed-off-by: Juri Lelli <juri.lelli@redhat.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Dietmar Eggemann <dietmar.eggemann@arm.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Patrick Bellasi <patrick.bellasi@arm.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Link: http://lkml.kernel.org/r/20180524152936.17611-1-juri.lelli@redhat.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-05-24 15:29:36 +00:00
pr_info("root domain span: %*pbl (max cpu_capacity = %lu)\n",
cpumask_pr_args(cpu_map), rq->rd->max_cpu_capacity);
}
ret = 0;
error:
__free_domain_allocs(&d, alloc_state, cpu_map);
return ret;
}
/* Current sched domains: */
static cpumask_var_t *doms_cur;
/* Number of sched domains in 'doms_cur': */
static int ndoms_cur;
/* Attributes of custom domains in 'doms_cur' */
static struct sched_domain_attr *dattr_cur;
/*
* Special case: If a kmalloc() of a doms_cur partition (array of
* cpumask) fails, then fallback to a single sched domain,
* as determined by the single cpumask fallback_doms.
*/
static cpumask_var_t fallback_doms;
/*
* arch_update_cpu_topology lets virtualized architectures update the
* CPU core maps. It is supposed to return 1 if the topology changed
* or 0 if it stayed the same.
*/
int __weak arch_update_cpu_topology(void)
{
return 0;
}
cpumask_var_t *alloc_sched_domains(unsigned int ndoms)
{
int i;
cpumask_var_t *doms;
treewide: kmalloc() -> kmalloc_array() The kmalloc() function has a 2-factor argument form, kmalloc_array(). This patch replaces cases of: kmalloc(a * b, gfp) with: kmalloc_array(a * b, gfp) as well as handling cases of: kmalloc(a * b * c, gfp) with: kmalloc(array3_size(a, b, c), gfp) as it's slightly less ugly than: kmalloc_array(array_size(a, b), c, gfp) This does, however, attempt to ignore constant size factors like: kmalloc(4 * 1024, gfp) though any constants defined via macros get caught up in the conversion. Any factors with a sizeof() of "unsigned char", "char", and "u8" were dropped, since they're redundant. The tools/ directory was manually excluded, since it has its own implementation of kmalloc(). The Coccinelle script used for this was: // Fix redundant parens around sizeof(). @@ type TYPE; expression THING, E; @@ ( kmalloc( - (sizeof(TYPE)) * E + sizeof(TYPE) * E , ...) | kmalloc( - (sizeof(THING)) * E + sizeof(THING) * E , ...) ) // Drop single-byte sizes and redundant parens. @@ expression COUNT; typedef u8; typedef __u8; @@ ( kmalloc( - sizeof(u8) * (COUNT) + COUNT , ...) | kmalloc( - sizeof(__u8) * (COUNT) + COUNT , ...) | kmalloc( - sizeof(char) * (COUNT) + COUNT , ...) | kmalloc( - sizeof(unsigned char) * (COUNT) + COUNT , ...) | kmalloc( - sizeof(u8) * COUNT + COUNT , ...) | kmalloc( - sizeof(__u8) * COUNT + COUNT , ...) | kmalloc( - sizeof(char) * COUNT + COUNT , ...) | kmalloc( - sizeof(unsigned char) * COUNT + COUNT , ...) ) // 2-factor product with sizeof(type/expression) and identifier or constant. @@ type TYPE; expression THING; identifier COUNT_ID; constant COUNT_CONST; @@ ( - kmalloc + kmalloc_array ( - sizeof(TYPE) * (COUNT_ID) + COUNT_ID, sizeof(TYPE) , ...) | - kmalloc + kmalloc_array ( - sizeof(TYPE) * COUNT_ID + COUNT_ID, sizeof(TYPE) , ...) | - kmalloc + kmalloc_array ( - sizeof(TYPE) * (COUNT_CONST) + COUNT_CONST, sizeof(TYPE) , ...) | - kmalloc + kmalloc_array ( - sizeof(TYPE) * COUNT_CONST + COUNT_CONST, sizeof(TYPE) , ...) | - kmalloc + kmalloc_array ( - sizeof(THING) * (COUNT_ID) + COUNT_ID, sizeof(THING) , ...) | - kmalloc + kmalloc_array ( - sizeof(THING) * COUNT_ID + COUNT_ID, sizeof(THING) , ...) | - kmalloc + kmalloc_array ( - sizeof(THING) * (COUNT_CONST) + COUNT_CONST, sizeof(THING) , ...) | - kmalloc + kmalloc_array ( - sizeof(THING) * COUNT_CONST + COUNT_CONST, sizeof(THING) , ...) ) // 2-factor product, only identifiers. @@ identifier SIZE, COUNT; @@ - kmalloc + kmalloc_array ( - SIZE * COUNT + COUNT, SIZE , ...) // 3-factor product with 1 sizeof(type) or sizeof(expression), with // redundant parens removed. @@ expression THING; identifier STRIDE, COUNT; type TYPE; @@ ( kmalloc( - sizeof(TYPE) * (COUNT) * (STRIDE) + array3_size(COUNT, STRIDE, sizeof(TYPE)) , ...) | kmalloc( - sizeof(TYPE) * (COUNT) * STRIDE + array3_size(COUNT, STRIDE, sizeof(TYPE)) , ...) | kmalloc( - sizeof(TYPE) * COUNT * (STRIDE) + array3_size(COUNT, STRIDE, sizeof(TYPE)) , ...) | kmalloc( - sizeof(TYPE) * COUNT * STRIDE + array3_size(COUNT, STRIDE, sizeof(TYPE)) , ...) | kmalloc( - sizeof(THING) * (COUNT) * (STRIDE) + array3_size(COUNT, STRIDE, sizeof(THING)) , ...) | kmalloc( - sizeof(THING) * (COUNT) * STRIDE + array3_size(COUNT, STRIDE, sizeof(THING)) , ...) | kmalloc( - sizeof(THING) * COUNT * (STRIDE) + array3_size(COUNT, STRIDE, sizeof(THING)) , ...) | kmalloc( - sizeof(THING) * COUNT * STRIDE + array3_size(COUNT, STRIDE, sizeof(THING)) , ...) ) // 3-factor product with 2 sizeof(variable), with redundant parens removed. @@ expression THING1, THING2; identifier COUNT; type TYPE1, TYPE2; @@ ( kmalloc( - sizeof(TYPE1) * sizeof(TYPE2) * COUNT + array3_size(COUNT, sizeof(TYPE1), sizeof(TYPE2)) , ...) | kmalloc( - sizeof(TYPE1) * sizeof(THING2) * (COUNT) + array3_size(COUNT, sizeof(TYPE1), sizeof(TYPE2)) , ...) | kmalloc( - sizeof(THING1) * sizeof(THING2) * COUNT + array3_size(COUNT, sizeof(THING1), sizeof(THING2)) , ...) | kmalloc( - sizeof(THING1) * sizeof(THING2) * (COUNT) + array3_size(COUNT, sizeof(THING1), sizeof(THING2)) , ...) | kmalloc( - sizeof(TYPE1) * sizeof(THING2) * COUNT + array3_size(COUNT, sizeof(TYPE1), sizeof(THING2)) , ...) | kmalloc( - sizeof(TYPE1) * sizeof(THING2) * (COUNT) + array3_size(COUNT, sizeof(TYPE1), sizeof(THING2)) , ...) ) // 3-factor product, only identifiers, with redundant parens removed. @@ identifier STRIDE, SIZE, COUNT; @@ ( kmalloc( - (COUNT) * STRIDE * SIZE + array3_size(COUNT, STRIDE, SIZE) , ...) | kmalloc( - COUNT * (STRIDE) * SIZE + array3_size(COUNT, STRIDE, SIZE) , ...) | kmalloc( - COUNT * STRIDE * (SIZE) + array3_size(COUNT, STRIDE, SIZE) , ...) | kmalloc( - (COUNT) * (STRIDE) * SIZE + array3_size(COUNT, STRIDE, SIZE) , ...) | kmalloc( - COUNT * (STRIDE) * (SIZE) + array3_size(COUNT, STRIDE, SIZE) , ...) | kmalloc( - (COUNT) * STRIDE * (SIZE) + array3_size(COUNT, STRIDE, SIZE) , ...) | kmalloc( - (COUNT) * (STRIDE) * (SIZE) + array3_size(COUNT, STRIDE, SIZE) , ...) | kmalloc( - COUNT * STRIDE * SIZE + array3_size(COUNT, STRIDE, SIZE) , ...) ) // Any remaining multi-factor products, first at least 3-factor products, // when they're not all constants... @@ expression E1, E2, E3; constant C1, C2, C3; @@ ( kmalloc(C1 * C2 * C3, ...) | kmalloc( - (E1) * E2 * E3 + array3_size(E1, E2, E3) , ...) | kmalloc( - (E1) * (E2) * E3 + array3_size(E1, E2, E3) , ...) | kmalloc( - (E1) * (E2) * (E3) + array3_size(E1, E2, E3) , ...) | kmalloc( - E1 * E2 * E3 + array3_size(E1, E2, E3) , ...) ) // And then all remaining 2 factors products when they're not all constants, // keeping sizeof() as the second factor argument. @@ expression THING, E1, E2; type TYPE; constant C1, C2, C3; @@ ( kmalloc(sizeof(THING) * C2, ...) | kmalloc(sizeof(TYPE) * C2, ...) | kmalloc(C1 * C2 * C3, ...) | kmalloc(C1 * C2, ...) | - kmalloc + kmalloc_array ( - sizeof(TYPE) * (E2) + E2, sizeof(TYPE) , ...) | - kmalloc + kmalloc_array ( - sizeof(TYPE) * E2 + E2, sizeof(TYPE) , ...) | - kmalloc + kmalloc_array ( - sizeof(THING) * (E2) + E2, sizeof(THING) , ...) | - kmalloc + kmalloc_array ( - sizeof(THING) * E2 + E2, sizeof(THING) , ...) | - kmalloc + kmalloc_array ( - (E1) * E2 + E1, E2 , ...) | - kmalloc + kmalloc_array ( - (E1) * (E2) + E1, E2 , ...) | - kmalloc + kmalloc_array ( - E1 * E2 + E1, E2 , ...) ) Signed-off-by: Kees Cook <keescook@chromium.org>
2018-06-12 20:55:00 +00:00
doms = kmalloc_array(ndoms, sizeof(*doms), GFP_KERNEL);
if (!doms)
return NULL;
for (i = 0; i < ndoms; i++) {
if (!alloc_cpumask_var(&doms[i], GFP_KERNEL)) {
free_sched_domains(doms, i);
return NULL;
}
}
return doms;
}
void free_sched_domains(cpumask_var_t doms[], unsigned int ndoms)
{
unsigned int i;
for (i = 0; i < ndoms; i++)
free_cpumask_var(doms[i]);
kfree(doms);
}
/*
* Set up scheduler domains and groups. For now this just excludes isolated
* CPUs, but could be used to exclude other special cases in the future.
*/
int __init sched_init_domains(const struct cpumask *cpu_map)
{
int err;
zalloc_cpumask_var(&sched_domains_tmpmask, GFP_KERNEL);
sched/topology: Fix overlapping sched_group_capacity When building the overlapping groups we need to attach a consistent sched_group_capacity structure. That is, all 'identical' sched_group's should have the _same_ sched_group_capacity. This can (once again) be demonstrated with a topology like: node 0 1 2 3 0: 10 20 30 20 1: 20 10 20 30 2: 30 20 10 20 3: 20 30 20 10 But we need at least 2 CPUs per node for this to show up, after all, if there is only one CPU per node, our CPU @i is per definition a unique CPU that reaches this domain (aka balance-cpu). Given the above NUMA topo and 2 CPUs per node: [] CPU0 attaching sched-domain(s): [] domain-0: span=0,4 level=DIE [] groups: 0:{ span=0 }, 4:{ span=4 } [] domain-1: span=0-1,3-5,7 level=NUMA [] groups: 0:{ span=0,4 mask=0,4 cap=2048 }, 1:{ span=1,5 mask=1,5 cap=2048 }, 3:{ span=3,7 mask=3,7 cap=2048 } [] domain-2: span=0-7 level=NUMA [] groups: 0:{ span=0-1,3-5,7 mask=0,4 cap=6144 }, 2:{ span=1-3,5-7 mask=2,6 cap=6144 } [] CPU1 attaching sched-domain(s): [] domain-0: span=1,5 level=DIE [] groups: 1:{ span=1 }, 5:{ span=5 } [] domain-1: span=0-2,4-6 level=NUMA [] groups: 1:{ span=1,5 mask=1,5 cap=2048 }, 2:{ span=2,6 mask=2,6 cap=2048 }, 4:{ span=0,4 mask=0,4 cap=2048 } [] domain-2: span=0-7 level=NUMA [] groups: 1:{ span=0-2,4-6 mask=1,5 cap=6144 }, 3:{ span=0,2-4,6-7 mask=3,7 cap=6144 } Observe how CPU0-domain1-group0 and CPU1-domain1-group4 are the 'same' but have a different id (0 vs 4). To fix this, use the group balance CPU to select the SGC. This means we have to compute the full mask for each CPU and require a second temporary mask to store the group mask in (it otherwise lives in the SGC). The fixed topology looks like: [] CPU0 attaching sched-domain(s): [] domain-0: span=0,4 level=DIE [] groups: 0:{ span=0 }, 4:{ span=4 } [] domain-1: span=0-1,3-5,7 level=NUMA [] groups: 0:{ span=0,4 mask=0,4 cap=2048 }, 1:{ span=1,5 mask=1,5 cap=2048 }, 3:{ span=3,7 mask=3,7 cap=2048 } [] domain-2: span=0-7 level=NUMA [] groups: 0:{ span=0-1,3-5,7 mask=0,4 cap=6144 }, 2:{ span=1-3,5-7 mask=2,6 cap=6144 } [] CPU1 attaching sched-domain(s): [] domain-0: span=1,5 level=DIE [] groups: 1:{ span=1 }, 5:{ span=5 } [] domain-1: span=0-2,4-6 level=NUMA [] groups: 1:{ span=1,5 mask=1,5 cap=2048 }, 2:{ span=2,6 mask=2,6 cap=2048 }, 0:{ span=0,4 mask=0,4 cap=2048 } [] domain-2: span=0-7 level=NUMA [] groups: 1:{ span=0-2,4-6 mask=1,5 cap=6144 }, 3:{ span=0,2-4,6-7 mask=3,7 cap=6144 } Debugged-by: Lauro Ramos Venancio <lvenanci@redhat.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: linux-kernel@vger.kernel.org Fixes: e3589f6c81e4 ("sched: Allow for overlapping sched_domain spans") Signed-off-by: Ingo Molnar <mingo@kernel.org>
2017-04-25 12:31:11 +00:00
zalloc_cpumask_var(&sched_domains_tmpmask2, GFP_KERNEL);
zalloc_cpumask_var(&fallback_doms, GFP_KERNEL);
arch_update_cpu_topology();
sched/topology: Rework CPU capacity asymmetry detection Currently the CPU capacity asymmetry detection, performed through asym_cpu_capacity_level, tries to identify the lowest topology level at which the highest CPU capacity is being observed, not necessarily finding the level at which all possible capacity values are visible to all CPUs, which might be bit problematic for some possible/valid asymmetric topologies i.e.: DIE [ ] MC [ ][ ] CPU [0] [1] [2] [3] [4] [5] [6] [7] Capacity |.....| |.....| |.....| |.....| L M B B Where: arch_scale_cpu_capacity(L) = 512 arch_scale_cpu_capacity(M) = 871 arch_scale_cpu_capacity(B) = 1024 In this particular case, the asymmetric topology level will point at MC, as all possible CPU masks for that level do cover the CPU with the highest capacity. It will work just fine for the first cluster, not so much for the second one though (consider the find_energy_efficient_cpu which might end up attempting the energy aware wake-up for a domain that does not see any asymmetry at all) Rework the way the capacity asymmetry levels are being detected, allowing to point to the lowest topology level (for a given CPU), where full set of available CPU capacities is visible to all CPUs within given domain. As a result, the per-cpu sd_asym_cpucapacity might differ across the domains. This will have an impact on EAS wake-up placement in a way that it might see different range of CPUs to be considered, depending on the given current and target CPUs. Additionally, those levels, where any range of asymmetry (not necessarily full) is being detected will get identified as well. The selected asymmetric topology level will be denoted by SD_ASYM_CPUCAPACITY_FULL sched domain flag whereas the 'sub-levels' would receive the already used SD_ASYM_CPUCAPACITY flag. This allows maintaining the current behaviour for asymmetric topologies, with misfit migration operating correctly on lower levels, if applicable, as any asymmetry is enough to trigger the misfit migration. The logic there relies on the SD_ASYM_CPUCAPACITY flag and does not relate to the full asymmetry level denoted by the sd_asym_cpucapacity pointer. Detecting the CPU capacity asymmetry is being based on a set of available CPU capacities for all possible CPUs. This data is being generated upon init and updated once CPU topology changes are being detected (through arch_update_cpu_topology). As such, any changes to identified CPU capacities (like initializing cpufreq) need to be explicitly advertised by corresponding archs to trigger rebuilding the data. Additional -dflags- parameter, used when building sched domains, has been removed as well, as the asymmetry flags are now being set directly in sd_init. Suggested-by: Peter Zijlstra <peterz@infradead.org> Suggested-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Beata Michalska <beata.michalska@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Valentin Schneider <valentin.schneider@arm.com> Reviewed-by: Dietmar Eggemann <dietmar.eggemann@arm.com> Tested-by: Valentin Schneider <valentin.schneider@arm.com> Link: https://lore.kernel.org/r/20210603140627.8409-3-beata.michalska@arm.com
2021-06-03 14:06:26 +00:00
asym_cpu_capacity_scan();
ndoms_cur = 1;
doms_cur = alloc_sched_domains(ndoms_cur);
if (!doms_cur)
doms_cur = &fallback_doms;
cpumask_and(doms_cur[0], cpu_map, housekeeping_cpumask(HK_TYPE_DOMAIN));
err = build_sched_domains(doms_cur[0], NULL);
return err;
}
/*
* Detach sched domains from a group of CPUs specified in cpu_map
* These CPUs will now be attached to the NULL domain
*/
static void detach_destroy_domains(const struct cpumask *cpu_map)
{
sched/topology: Allow sched_asym_cpucapacity to be disabled While the static key is correctly initialized as being disabled, it will remain forever enabled once turned on. This means that if we start with an asymmetric system and hotplug out enough CPUs to end up with an SMP system, the static key will remain set - which is obviously wrong. We should detect this and turn off things like misfit migration and capacity aware wakeups. As Quentin pointed out, having separate root domains makes this slightly trickier. We could have exclusive cpusets that create an SMP island - IOW, the domains within this root domain will not see any asymmetry. This means we can't just disable the key on domain destruction, we need to count how many asymmetric root domains we have. Consider the following example using Juno r0 which is 2+4 big.LITTLE, where two identical cpusets are created: they both span both big and LITTLE CPUs: asym0 asym1 [ ][ ] L L B L L B $ cgcreate -g cpuset:asym0 $ cgset -r cpuset.cpus=0,1,3 asym0 $ cgset -r cpuset.mems=0 asym0 $ cgset -r cpuset.cpu_exclusive=1 asym0 $ cgcreate -g cpuset:asym1 $ cgset -r cpuset.cpus=2,4,5 asym1 $ cgset -r cpuset.mems=0 asym1 $ cgset -r cpuset.cpu_exclusive=1 asym1 $ cgset -r cpuset.sched_load_balance=0 . (the CPU numbering may look odd because on the Juno LITTLEs are CPUs 0,3-5 and bigs are CPUs 1-2) If we make one of those SMP (IOW remove asymmetry) by e.g. hotplugging its big core, we would end up with an SMP cpuset and an asymmetric cpuset - the static key must remain set, because we still have one asymmetric root domain. With the above example, this could be done with: $ echo 0 > /sys/devices/system/cpu/cpu2/online Which would result in: asym0 asym1 [ ][ ] L L B L L When both SMP and asymmetric cpusets are present, all CPUs will observe sched_asym_cpucapacity being set (it is system-wide), but not all CPUs observe asymmetry in their sched domain hierarchy: per_cpu(sd_asym_cpucapacity, <any CPU in asym0>) == <some SD at DIE level> per_cpu(sd_asym_cpucapacity, <any CPU in asym1>) == NULL Change the simple key enablement to an increment, and decrement the key counter when destroying domains that cover asymmetric CPUs. Signed-off-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Dietmar Eggemann <dietmar.eggemann@arm.com> Cc: Dietmar.Eggemann@arm.com Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: hannes@cmpxchg.org Cc: lizefan@huawei.com Cc: morten.rasmussen@arm.com Cc: qperret@google.com Cc: tj@kernel.org Cc: vincent.guittot@linaro.org Fixes: df054e8445a4 ("sched/topology: Add static_key for asymmetric CPU capacity optimizations") Link: https://lkml.kernel.org/r/20191023153745.19515-3-valentin.schneider@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2019-10-23 15:37:45 +00:00
unsigned int cpu = cpumask_any(cpu_map);
int i;
sched/topology: Allow sched_asym_cpucapacity to be disabled While the static key is correctly initialized as being disabled, it will remain forever enabled once turned on. This means that if we start with an asymmetric system and hotplug out enough CPUs to end up with an SMP system, the static key will remain set - which is obviously wrong. We should detect this and turn off things like misfit migration and capacity aware wakeups. As Quentin pointed out, having separate root domains makes this slightly trickier. We could have exclusive cpusets that create an SMP island - IOW, the domains within this root domain will not see any asymmetry. This means we can't just disable the key on domain destruction, we need to count how many asymmetric root domains we have. Consider the following example using Juno r0 which is 2+4 big.LITTLE, where two identical cpusets are created: they both span both big and LITTLE CPUs: asym0 asym1 [ ][ ] L L B L L B $ cgcreate -g cpuset:asym0 $ cgset -r cpuset.cpus=0,1,3 asym0 $ cgset -r cpuset.mems=0 asym0 $ cgset -r cpuset.cpu_exclusive=1 asym0 $ cgcreate -g cpuset:asym1 $ cgset -r cpuset.cpus=2,4,5 asym1 $ cgset -r cpuset.mems=0 asym1 $ cgset -r cpuset.cpu_exclusive=1 asym1 $ cgset -r cpuset.sched_load_balance=0 . (the CPU numbering may look odd because on the Juno LITTLEs are CPUs 0,3-5 and bigs are CPUs 1-2) If we make one of those SMP (IOW remove asymmetry) by e.g. hotplugging its big core, we would end up with an SMP cpuset and an asymmetric cpuset - the static key must remain set, because we still have one asymmetric root domain. With the above example, this could be done with: $ echo 0 > /sys/devices/system/cpu/cpu2/online Which would result in: asym0 asym1 [ ][ ] L L B L L When both SMP and asymmetric cpusets are present, all CPUs will observe sched_asym_cpucapacity being set (it is system-wide), but not all CPUs observe asymmetry in their sched domain hierarchy: per_cpu(sd_asym_cpucapacity, <any CPU in asym0>) == <some SD at DIE level> per_cpu(sd_asym_cpucapacity, <any CPU in asym1>) == NULL Change the simple key enablement to an increment, and decrement the key counter when destroying domains that cover asymmetric CPUs. Signed-off-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Dietmar Eggemann <dietmar.eggemann@arm.com> Cc: Dietmar.Eggemann@arm.com Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: hannes@cmpxchg.org Cc: lizefan@huawei.com Cc: morten.rasmussen@arm.com Cc: qperret@google.com Cc: tj@kernel.org Cc: vincent.guittot@linaro.org Fixes: df054e8445a4 ("sched/topology: Add static_key for asymmetric CPU capacity optimizations") Link: https://lkml.kernel.org/r/20191023153745.19515-3-valentin.schneider@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2019-10-23 15:37:45 +00:00
if (rcu_access_pointer(per_cpu(sd_asym_cpucapacity, cpu)))
static_branch_dec_cpuslocked(&sched_asym_cpucapacity);
sched/fair: Scan cluster before scanning LLC in wake-up path For platforms having clusters like Kunpeng920, CPUs within the same cluster have lower latency when synchronizing and accessing shared resources like cache. Thus, this patch tries to find an idle cpu within the cluster of the target CPU before scanning the whole LLC to gain lower latency. This will be implemented in 2 steps in select_idle_sibling(): 1. When the prev_cpu/recent_used_cpu are good wakeup candidates, use them if they're sharing cluster with the target CPU. Otherwise trying to scan for an idle CPU in the target's cluster. 2. Scanning the cluster prior to the LLC of the target CPU for an idle CPU to wakeup. Testing has been done on Kunpeng920 by pinning tasks to one numa and two numa. On Kunpeng920, Each numa has 8 clusters and each cluster has 4 CPUs. With this patch, We noticed enhancement on tbench and netperf within one numa or cross two numa on top of tip-sched-core commit 9b46f1abc6d4 ("sched/debug: Print 'tgid' in sched_show_task()") tbench results (node 0): baseline patched 1: 327.2833 372.4623 ( 13.80%) 4: 1320.5933 1479.8833 ( 12.06%) 8: 2638.4867 2921.5267 ( 10.73%) 16: 5282.7133 5891.5633 ( 11.53%) 32: 9810.6733 9877.3400 ( 0.68%) 64: 7408.9367 7447.9900 ( 0.53%) 128: 6203.2600 6191.6500 ( -0.19%) tbench results (node 0-1): baseline patched 1: 332.0433 372.7223 ( 12.25%) 4: 1325.4667 1477.6733 ( 11.48%) 8: 2622.9433 2897.9967 ( 10.49%) 16: 5218.6100 5878.2967 ( 12.64%) 32: 10211.7000 11494.4000 ( 12.56%) 64: 13313.7333 16740.0333 ( 25.74%) 128: 13959.1000 14533.9000 ( 4.12%) netperf results TCP_RR (node 0): baseline patched 1: 76546.5033 90649.9867 ( 18.42%) 4: 77292.4450 90932.7175 ( 17.65%) 8: 77367.7254 90882.3467 ( 17.47%) 16: 78519.9048 90938.8344 ( 15.82%) 32: 72169.5035 72851.6730 ( 0.95%) 64: 25911.2457 25882.2315 ( -0.11%) 128: 10752.6572 10768.6038 ( 0.15%) netperf results TCP_RR (node 0-1): baseline patched 1: 76857.6667 90892.2767 ( 18.26%) 4: 78236.6475 90767.3017 ( 16.02%) 8: 77929.6096 90684.1633 ( 16.37%) 16: 77438.5873 90502.5787 ( 16.87%) 32: 74205.6635 88301.5612 ( 19.00%) 64: 69827.8535 71787.6706 ( 2.81%) 128: 25281.4366 25771.3023 ( 1.94%) netperf results UDP_RR (node 0): baseline patched 1: 96869.8400 110800.8467 ( 14.38%) 4: 97744.9750 109680.5425 ( 12.21%) 8: 98783.9863 110409.9637 ( 11.77%) 16: 99575.0235 110636.2435 ( 11.11%) 32: 95044.7250 97622.8887 ( 2.71%) 64: 32925.2146 32644.4991 ( -0.85%) 128: 12859.2343 12824.0051 ( -0.27%) netperf results UDP_RR (node 0-1): baseline patched 1: 97202.4733 110190.1200 ( 13.36%) 4: 95954.0558 106245.7258 ( 10.73%) 8: 96277.1958 105206.5304 ( 9.27%) 16: 97692.7810 107927.2125 ( 10.48%) 32: 79999.6702 103550.2999 ( 29.44%) 64: 80592.7413 87284.0856 ( 8.30%) 128: 27701.5770 29914.5820 ( 7.99%) Note neither Kunpeng920 nor x86 Jacobsville supports SMT, so the SMT branch in the code has not been tested but it supposed to work. Chen Yu also noticed this will improve the performance of tbench and netperf on a 24 CPUs Jacobsville machine, there are 4 CPUs in one cluster sharing L2 Cache. [https://lore.kernel.org/lkml/Ytfjs+m1kUs0ScSn@worktop.programming.kicks-ass.net] Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Barry Song <song.bao.hua@hisilicon.com> Signed-off-by: Yicong Yang <yangyicong@hisilicon.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Tim Chen <tim.c.chen@linux.intel.com> Reviewed-by: Chen Yu <yu.c.chen@intel.com> Reviewed-by: Gautham R. Shenoy <gautham.shenoy@amd.com> Reviewed-by: Vincent Guittot <vincent.guittot@linaro.org> Tested-and-reviewed-by: Chen Yu <yu.c.chen@intel.com> Tested-by: Yicong Yang <yangyicong@hisilicon.com> Link: https://lkml.kernel.org/r/20231019033323.54147-3-yangyicong@huawei.com
2023-10-19 03:33:22 +00:00
if (static_branch_unlikely(&sched_cluster_active))
static_branch_dec_cpuslocked(&sched_cluster_active);
rcu_read_lock();
for_each_cpu(i, cpu_map)
cpu_attach_domain(NULL, &def_root_domain, i);
rcu_read_unlock();
}
/* handle null as "default" */
static int dattrs_equal(struct sched_domain_attr *cur, int idx_cur,
struct sched_domain_attr *new, int idx_new)
{
struct sched_domain_attr tmp;
/* Fast path: */
if (!new && !cur)
return 1;
tmp = SD_ATTR_INIT;
return !memcmp(cur ? (cur + idx_cur) : &tmp,
new ? (new + idx_new) : &tmp,
sizeof(struct sched_domain_attr));
}
/*
* Partition sched domains as specified by the 'ndoms_new'
* cpumasks in the array doms_new[] of cpumasks. This compares
* doms_new[] to the current sched domain partitioning, doms_cur[].
* It destroys each deleted domain and builds each new domain.
*
* 'doms_new' is an array of cpumask_var_t's of length 'ndoms_new'.
* The masks don't intersect (don't overlap.) We should setup one
* sched domain for each mask. CPUs not in any of the cpumasks will
* not be load balanced. If the same cpumask appears both in the
* current 'doms_cur' domains and in the new 'doms_new', we can leave
* it as it is.
*
* The passed in 'doms_new' should be allocated using
* alloc_sched_domains. This routine takes ownership of it and will
* free_sched_domains it when done with it. If the caller failed the
* alloc call, then it can pass in doms_new == NULL && ndoms_new == 1,
* and partition_sched_domains() will fallback to the single partition
* 'fallback_doms', it also forces the domains to be rebuilt.
*
* If doms_new == NULL it will be replaced with cpu_online_mask.
* ndoms_new == 0 is a special case for destroying existing domains,
* and it will not create the default domain.
*
* Call with hotplug lock and sched_domains_mutex held
*/
void partition_sched_domains_locked(int ndoms_new, cpumask_var_t doms_new[],
struct sched_domain_attr *dattr_new)
{
bool __maybe_unused has_eas = false;
int i, j, n;
int new_topology;
lockdep_assert_held(&sched_domains_mutex);
/* Let the architecture update CPU core mappings: */
new_topology = arch_update_cpu_topology();
sched/topology: Rework CPU capacity asymmetry detection Currently the CPU capacity asymmetry detection, performed through asym_cpu_capacity_level, tries to identify the lowest topology level at which the highest CPU capacity is being observed, not necessarily finding the level at which all possible capacity values are visible to all CPUs, which might be bit problematic for some possible/valid asymmetric topologies i.e.: DIE [ ] MC [ ][ ] CPU [0] [1] [2] [3] [4] [5] [6] [7] Capacity |.....| |.....| |.....| |.....| L M B B Where: arch_scale_cpu_capacity(L) = 512 arch_scale_cpu_capacity(M) = 871 arch_scale_cpu_capacity(B) = 1024 In this particular case, the asymmetric topology level will point at MC, as all possible CPU masks for that level do cover the CPU with the highest capacity. It will work just fine for the first cluster, not so much for the second one though (consider the find_energy_efficient_cpu which might end up attempting the energy aware wake-up for a domain that does not see any asymmetry at all) Rework the way the capacity asymmetry levels are being detected, allowing to point to the lowest topology level (for a given CPU), where full set of available CPU capacities is visible to all CPUs within given domain. As a result, the per-cpu sd_asym_cpucapacity might differ across the domains. This will have an impact on EAS wake-up placement in a way that it might see different range of CPUs to be considered, depending on the given current and target CPUs. Additionally, those levels, where any range of asymmetry (not necessarily full) is being detected will get identified as well. The selected asymmetric topology level will be denoted by SD_ASYM_CPUCAPACITY_FULL sched domain flag whereas the 'sub-levels' would receive the already used SD_ASYM_CPUCAPACITY flag. This allows maintaining the current behaviour for asymmetric topologies, with misfit migration operating correctly on lower levels, if applicable, as any asymmetry is enough to trigger the misfit migration. The logic there relies on the SD_ASYM_CPUCAPACITY flag and does not relate to the full asymmetry level denoted by the sd_asym_cpucapacity pointer. Detecting the CPU capacity asymmetry is being based on a set of available CPU capacities for all possible CPUs. This data is being generated upon init and updated once CPU topology changes are being detected (through arch_update_cpu_topology). As such, any changes to identified CPU capacities (like initializing cpufreq) need to be explicitly advertised by corresponding archs to trigger rebuilding the data. Additional -dflags- parameter, used when building sched domains, has been removed as well, as the asymmetry flags are now being set directly in sd_init. Suggested-by: Peter Zijlstra <peterz@infradead.org> Suggested-by: Valentin Schneider <valentin.schneider@arm.com> Signed-off-by: Beata Michalska <beata.michalska@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Valentin Schneider <valentin.schneider@arm.com> Reviewed-by: Dietmar Eggemann <dietmar.eggemann@arm.com> Tested-by: Valentin Schneider <valentin.schneider@arm.com> Link: https://lore.kernel.org/r/20210603140627.8409-3-beata.michalska@arm.com
2021-06-03 14:06:26 +00:00
/* Trigger rebuilding CPU capacity asymmetry data */
if (new_topology)
asym_cpu_capacity_scan();
if (!doms_new) {
WARN_ON_ONCE(dattr_new);
n = 0;
doms_new = alloc_sched_domains(1);
if (doms_new) {
n = 1;
cpumask_and(doms_new[0], cpu_active_mask,
housekeeping_cpumask(HK_TYPE_DOMAIN));
}
} else {
n = ndoms_new;
}
/* Destroy deleted domains: */
for (i = 0; i < ndoms_cur; i++) {
for (j = 0; j < n && !new_topology; j++) {
sched/topology: Reference the Energy Model of CPUs when available The existing scheduling domain hierarchy is defined to map to the cache topology of the system. However, Energy Aware Scheduling (EAS) requires more knowledge about the platform, and specifically needs to know about the span of Performance Domains (PD), which do not always align with caches. To address this issue, use the Energy Model (EM) of the system to extend the scheduler topology code with a representation of the PDs, alongside the scheduling domains. More specifically, a linked list of PDs is attached to each root domain. When multiple root domains are in use, each list contains only the PDs covering the CPUs of its root domain. If a PD spans over CPUs of multiple different root domains, it will be duplicated in all lists. The lists are fully maintained by the scheduler from partition_sched_domains() in order to cope with hotplug and cpuset changes. As for scheduling domains, the list are protected by RCU to ensure safe concurrent updates. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: rjw@rjwysocki.net Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-6-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:18 +00:00
if (cpumask_equal(doms_cur[i], doms_new[j]) &&
dattrs_equal(dattr_cur, i, dattr_new, j)) {
struct root_domain *rd;
/*
* This domain won't be destroyed and as such
* its dl_bw->total_bw needs to be cleared. It
* will be recomputed in function
* update_tasks_root_domain().
*/
rd = cpu_rq(cpumask_any(doms_cur[i]))->rd;
dl_clear_root_domain(rd);
goto match1;
}
}
/* No match - a current sched domain not in new doms_new[] */
detach_destroy_domains(doms_cur[i]);
match1:
;
}
n = ndoms_cur;
if (!doms_new) {
n = 0;
doms_new = &fallback_doms;
cpumask_and(doms_new[0], cpu_active_mask,
housekeeping_cpumask(HK_TYPE_DOMAIN));
}
/* Build new domains: */
for (i = 0; i < ndoms_new; i++) {
for (j = 0; j < n && !new_topology; j++) {
sched/topology: Reference the Energy Model of CPUs when available The existing scheduling domain hierarchy is defined to map to the cache topology of the system. However, Energy Aware Scheduling (EAS) requires more knowledge about the platform, and specifically needs to know about the span of Performance Domains (PD), which do not always align with caches. To address this issue, use the Energy Model (EM) of the system to extend the scheduler topology code with a representation of the PDs, alongside the scheduling domains. More specifically, a linked list of PDs is attached to each root domain. When multiple root domains are in use, each list contains only the PDs covering the CPUs of its root domain. If a PD spans over CPUs of multiple different root domains, it will be duplicated in all lists. The lists are fully maintained by the scheduler from partition_sched_domains() in order to cope with hotplug and cpuset changes. As for scheduling domains, the list are protected by RCU to ensure safe concurrent updates. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: rjw@rjwysocki.net Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-6-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:18 +00:00
if (cpumask_equal(doms_new[i], doms_cur[j]) &&
dattrs_equal(dattr_new, i, dattr_cur, j))
goto match2;
}
/* No match - add a new doms_new */
build_sched_domains(doms_new[i], dattr_new ? dattr_new + i : NULL);
match2:
;
}
sched/topology: Make Energy Aware Scheduling depend on schedutil Energy Aware Scheduling (EAS) is designed with the assumption that frequencies of CPUs follow their utilization value. When using a CPUFreq governor other than schedutil, the chances of this assumption being true are small, if any. When schedutil is being used, EAS' predictions are at least consistent with the frequency requests. Although those requests have no guarantees to be honored by the hardware, they should at least guide DVFS in the right direction and provide some hope in regards to the EAS model being accurate. To make sure EAS is only used in a sane configuration, create a strong dependency on schedutil being used. Since having sugov compiled-in does not provide that guarantee, make CPUFreq call a scheduler function on governor changes hence letting it rebuild the scheduling domains, check the governors of the online CPUs, and enable/disable EAS accordingly. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Rafael J. Wysocki <rjw@rjwysocki.net> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-9-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:21 +00:00
#if defined(CONFIG_ENERGY_MODEL) && defined(CONFIG_CPU_FREQ_GOV_SCHEDUTIL)
sched/topology: Reference the Energy Model of CPUs when available The existing scheduling domain hierarchy is defined to map to the cache topology of the system. However, Energy Aware Scheduling (EAS) requires more knowledge about the platform, and specifically needs to know about the span of Performance Domains (PD), which do not always align with caches. To address this issue, use the Energy Model (EM) of the system to extend the scheduler topology code with a representation of the PDs, alongside the scheduling domains. More specifically, a linked list of PDs is attached to each root domain. When multiple root domains are in use, each list contains only the PDs covering the CPUs of its root domain. If a PD spans over CPUs of multiple different root domains, it will be duplicated in all lists. The lists are fully maintained by the scheduler from partition_sched_domains() in order to cope with hotplug and cpuset changes. As for scheduling domains, the list are protected by RCU to ensure safe concurrent updates. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: rjw@rjwysocki.net Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-6-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:18 +00:00
/* Build perf. domains: */
for (i = 0; i < ndoms_new; i++) {
sched/topology: Make Energy Aware Scheduling depend on schedutil Energy Aware Scheduling (EAS) is designed with the assumption that frequencies of CPUs follow their utilization value. When using a CPUFreq governor other than schedutil, the chances of this assumption being true are small, if any. When schedutil is being used, EAS' predictions are at least consistent with the frequency requests. Although those requests have no guarantees to be honored by the hardware, they should at least guide DVFS in the right direction and provide some hope in regards to the EAS model being accurate. To make sure EAS is only used in a sane configuration, create a strong dependency on schedutil being used. Since having sugov compiled-in does not provide that guarantee, make CPUFreq call a scheduler function on governor changes hence letting it rebuild the scheduling domains, check the governors of the online CPUs, and enable/disable EAS accordingly. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Rafael J. Wysocki <rjw@rjwysocki.net> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-9-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:21 +00:00
for (j = 0; j < n && !sched_energy_update; j++) {
sched/topology: Reference the Energy Model of CPUs when available The existing scheduling domain hierarchy is defined to map to the cache topology of the system. However, Energy Aware Scheduling (EAS) requires more knowledge about the platform, and specifically needs to know about the span of Performance Domains (PD), which do not always align with caches. To address this issue, use the Energy Model (EM) of the system to extend the scheduler topology code with a representation of the PDs, alongside the scheduling domains. More specifically, a linked list of PDs is attached to each root domain. When multiple root domains are in use, each list contains only the PDs covering the CPUs of its root domain. If a PD spans over CPUs of multiple different root domains, it will be duplicated in all lists. The lists are fully maintained by the scheduler from partition_sched_domains() in order to cope with hotplug and cpuset changes. As for scheduling domains, the list are protected by RCU to ensure safe concurrent updates. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: rjw@rjwysocki.net Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-6-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:18 +00:00
if (cpumask_equal(doms_new[i], doms_cur[j]) &&
cpu_rq(cpumask_first(doms_cur[j]))->rd->pd) {
has_eas = true;
sched/topology: Reference the Energy Model of CPUs when available The existing scheduling domain hierarchy is defined to map to the cache topology of the system. However, Energy Aware Scheduling (EAS) requires more knowledge about the platform, and specifically needs to know about the span of Performance Domains (PD), which do not always align with caches. To address this issue, use the Energy Model (EM) of the system to extend the scheduler topology code with a representation of the PDs, alongside the scheduling domains. More specifically, a linked list of PDs is attached to each root domain. When multiple root domains are in use, each list contains only the PDs covering the CPUs of its root domain. If a PD spans over CPUs of multiple different root domains, it will be duplicated in all lists. The lists are fully maintained by the scheduler from partition_sched_domains() in order to cope with hotplug and cpuset changes. As for scheduling domains, the list are protected by RCU to ensure safe concurrent updates. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: rjw@rjwysocki.net Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-6-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:18 +00:00
goto match3;
}
sched/topology: Reference the Energy Model of CPUs when available The existing scheduling domain hierarchy is defined to map to the cache topology of the system. However, Energy Aware Scheduling (EAS) requires more knowledge about the platform, and specifically needs to know about the span of Performance Domains (PD), which do not always align with caches. To address this issue, use the Energy Model (EM) of the system to extend the scheduler topology code with a representation of the PDs, alongside the scheduling domains. More specifically, a linked list of PDs is attached to each root domain. When multiple root domains are in use, each list contains only the PDs covering the CPUs of its root domain. If a PD spans over CPUs of multiple different root domains, it will be duplicated in all lists. The lists are fully maintained by the scheduler from partition_sched_domains() in order to cope with hotplug and cpuset changes. As for scheduling domains, the list are protected by RCU to ensure safe concurrent updates. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: rjw@rjwysocki.net Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-6-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:18 +00:00
}
/* No match - add perf. domains for a new rd */
has_eas |= build_perf_domains(doms_new[i]);
sched/topology: Reference the Energy Model of CPUs when available The existing scheduling domain hierarchy is defined to map to the cache topology of the system. However, Energy Aware Scheduling (EAS) requires more knowledge about the platform, and specifically needs to know about the span of Performance Domains (PD), which do not always align with caches. To address this issue, use the Energy Model (EM) of the system to extend the scheduler topology code with a representation of the PDs, alongside the scheduling domains. More specifically, a linked list of PDs is attached to each root domain. When multiple root domains are in use, each list contains only the PDs covering the CPUs of its root domain. If a PD spans over CPUs of multiple different root domains, it will be duplicated in all lists. The lists are fully maintained by the scheduler from partition_sched_domains() in order to cope with hotplug and cpuset changes. As for scheduling domains, the list are protected by RCU to ensure safe concurrent updates. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: rjw@rjwysocki.net Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-6-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:18 +00:00
match3:
;
}
sched_energy_set(has_eas);
sched/topology: Reference the Energy Model of CPUs when available The existing scheduling domain hierarchy is defined to map to the cache topology of the system. However, Energy Aware Scheduling (EAS) requires more knowledge about the platform, and specifically needs to know about the span of Performance Domains (PD), which do not always align with caches. To address this issue, use the Energy Model (EM) of the system to extend the scheduler topology code with a representation of the PDs, alongside the scheduling domains. More specifically, a linked list of PDs is attached to each root domain. When multiple root domains are in use, each list contains only the PDs covering the CPUs of its root domain. If a PD spans over CPUs of multiple different root domains, it will be duplicated in all lists. The lists are fully maintained by the scheduler from partition_sched_domains() in order to cope with hotplug and cpuset changes. As for scheduling domains, the list are protected by RCU to ensure safe concurrent updates. Signed-off-by: Quentin Perret <quentin.perret@arm.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: adharmap@codeaurora.org Cc: chris.redpath@arm.com Cc: currojerez@riseup.net Cc: dietmar.eggemann@arm.com Cc: edubezval@gmail.com Cc: gregkh@linuxfoundation.org Cc: javi.merino@kernel.org Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Cc: pkondeti@codeaurora.org Cc: rjw@rjwysocki.net Cc: skannan@codeaurora.org Cc: smuckle@google.com Cc: srinivas.pandruvada@linux.intel.com Cc: thara.gopinath@linaro.org Cc: tkjos@google.com Cc: valentin.schneider@arm.com Cc: vincent.guittot@linaro.org Cc: viresh.kumar@linaro.org Link: https://lkml.kernel.org/r/20181203095628.11858-6-quentin.perret@arm.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2018-12-03 09:56:18 +00:00
#endif
/* Remember the new sched domains: */
if (doms_cur != &fallback_doms)
free_sched_domains(doms_cur, ndoms_cur);
kfree(dattr_cur);
doms_cur = doms_new;
dattr_cur = dattr_new;
ndoms_cur = ndoms_new;
update_sched_domain_debugfs();
}
/*
* Call with hotplug lock held
*/
void partition_sched_domains(int ndoms_new, cpumask_var_t doms_new[],
struct sched_domain_attr *dattr_new)
{
mutex_lock(&sched_domains_mutex);
partition_sched_domains_locked(ndoms_new, doms_new, dattr_new);
mutex_unlock(&sched_domains_mutex);
}