forked from Minki/linux
c9d26423e5
- Fix for an ACPI-based device hotplug regression introduced in 3.14 that causes a kernel panic to trigger when memory hot-remove is attempted with CONFIG_ACPI_HOTPLUG_MEMORY unset from Tang Chen. - Fix for a cpufreq regression introduced in 3.16 that triggers a "sleeping function called from invalid context" bug in dev_pm_opp_init_cpufreq_table() from Stephen Boyd. - ACPI battery driver fix for a warning message added in 3.16 that prints silly stuff sometimes from Mariusz Ceier. - Hibernation fix for safer handling of mismatches in the 820 memory map between the configurations during image creation and during the subsequent restore from Chun-Yi Lee. - ACPI processor driver fix to handle CPU hotplug notifications correctly during system suspend/resume from Lan Tianyu. - Series of four cpuidle menu governor cleanups that also should speed it up a bit from Mel Gorman. - Fixes for the speedstep-smi, integrator, cpu0 and arm_big_little cpufreq drivers from Hans Wennborg, Himangi Saraogi, Markus Pargmann and Uwe Kleine-König. - Version 3.0 of the analyze_suspend.py suspend profiling tool from Todd E Brandt. / -----BEGIN PGP SIGNATURE----- Version: GnuPG v2.0.22 (GNU/Linux) iQIcBAABCAAGBQJT7UnNAAoJEILEb/54YlRxcxIP/ROFeak3+5tt3hkvZCevxpUh AMPccgUoqsF2dognO3pcR4AgGP+meM6Qw0zBjPDNx6oo87hw7P1HlngfaRPHnWPh iAkY2p1QhGAZW29vqxqBIdLVP9M+Nje0tvOX8/6QEsQgo2y6YCbJU0zITmvb8Tsk 183cXiz6xXDezt4sPeIVg2QVfngVFtOeNVgHDIhldQSF6zUQJP/3+BVutvaj3olt 2O3qpNfwJjFh9p6LWQ+CAalq3hJyNZ6ettLNCvudeq4kqRo49WAdjHaRW+qju/NR dWybO29MfviczABVQ1ReqSnz0MJOqhZNxkEi5KqnYBb3fx8e2XffsBFzFzTp6BJi bp4ALcFIu9r5ctWVxQhmgEC6uhYMIXZ681sH99HyIdzk2cNRgMxRj6u2aVe/Cczu Bb489CRHmOrZyXrkmENg+LkOYBNoXcT+RepH9Ex8R+TNBlKLEBKMMgPrfbFeVKWB Vm621tHNATJG8nJcs3zJulM2FQ0q8c2irw6WwhUxzbSOxmqSvO5zN3OgYt+c+gWk MmA8IhUpQBLkqBx1FMi0lOOdIW3qKZJFrU39VQEjoP4P1nXgf373NPlfgzMvEvqM qQ8srMKFUjYxH3g0ftWk5a2MwEjyHQpvZe0djsMCN7ZkFLwUe1ri/R9Ja2LLQcIZ SyVkFbbO+moXTRMA1yA9 =kpiw -----END PGP SIGNATURE----- Merge tag 'pm+acpi-3.17-rc1-2' of git://git.kernel.org/pub/scm/linux/kernel/git/rafael/linux-pm Pull more ACPI and power management updates from Rafael Wysocki: "These are a couple of regression fixes, cpuidle menu governor optimizations, fixes for ACPI proccessor and battery drivers, hibernation fix to avoid problems related to the e820 memory map, fixes for a few cpufreq drivers and a new version of the suspend profiling tool analyze_suspend.py. Specifics: - Fix for an ACPI-based device hotplug regression introduced in 3.14 that causes a kernel panic to trigger when memory hot-remove is attempted with CONFIG_ACPI_HOTPLUG_MEMORY unset from Tang Chen - Fix for a cpufreq regression introduced in 3.16 that triggers a "sleeping function called from invalid context" bug in dev_pm_opp_init_cpufreq_table() from Stephen Boyd - ACPI battery driver fix for a warning message added in 3.16 that prints silly stuff sometimes from Mariusz Ceier - Hibernation fix for safer handling of mismatches in the 820 memory map between the configurations during image creation and during the subsequent restore from Chun-Yi Lee - ACPI processor driver fix to handle CPU hotplug notifications correctly during system suspend/resume from Lan Tianyu - Series of four cpuidle menu governor cleanups that also should speed it up a bit from Mel Gorman - Fixes for the speedstep-smi, integrator, cpu0 and arm_big_little cpufreq drivers from Hans Wennborg, Himangi Saraogi, Markus Pargmann and Uwe Kleine-König - Version 3.0 of the analyze_suspend.py suspend profiling tool from Todd E Brandt" * tag 'pm+acpi-3.17-rc1-2' of git://git.kernel.org/pub/scm/linux/kernel/git/rafael/linux-pm: ACPI / battery: Fix warning message in acpi_battery_get_state() PM / tools: analyze_suspend.py: update to v3.0 cpufreq: arm_big_little: fix module license spec cpufreq: speedstep-smi: fix decimal printf specifiers ACPI / hotplug: Check scan handlers in acpi_scan_hot_remove() cpufreq: OPP: Avoid sleeping while atomic cpufreq: cpu0: Do not print error message when deferring cpufreq: integrator: Use set_cpus_allowed_ptr PM / hibernate: avoid unsafe pages in e820 reserved regions ACPI / processor: Make acpi_cpu_soft_notify() process CPU FROZEN events cpuidle: menu: Lookup CPU runqueues less cpuidle: menu: Call nr_iowait_cpu less times cpuidle: menu: Use ktime_to_us instead of reinventing the wheel cpuidle: menu: Use shifts when calculating averages where possible
496 lines
15 KiB
C
496 lines
15 KiB
C
/*
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* menu.c - the menu idle governor
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*
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* Copyright (C) 2006-2007 Adam Belay <abelay@novell.com>
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* Copyright (C) 2009 Intel Corporation
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* Author:
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* Arjan van de Ven <arjan@linux.intel.com>
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*
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* This code is licenced under the GPL version 2 as described
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* in the COPYING file that acompanies the Linux Kernel.
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*/
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#include <linux/kernel.h>
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#include <linux/cpuidle.h>
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#include <linux/pm_qos.h>
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#include <linux/time.h>
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#include <linux/ktime.h>
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#include <linux/hrtimer.h>
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#include <linux/tick.h>
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#include <linux/sched.h>
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#include <linux/math64.h>
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#include <linux/module.h>
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/*
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* Please note when changing the tuning values:
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* If (MAX_INTERESTING-1) * RESOLUTION > UINT_MAX, the result of
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* a scaling operation multiplication may overflow on 32 bit platforms.
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* In that case, #define RESOLUTION as ULL to get 64 bit result:
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* #define RESOLUTION 1024ULL
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*
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* The default values do not overflow.
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*/
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#define BUCKETS 12
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#define INTERVAL_SHIFT 3
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#define INTERVALS (1UL << INTERVAL_SHIFT)
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#define RESOLUTION 1024
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#define DECAY 8
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#define MAX_INTERESTING 50000
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/*
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* Concepts and ideas behind the menu governor
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*
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* For the menu governor, there are 3 decision factors for picking a C
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* state:
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* 1) Energy break even point
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* 2) Performance impact
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* 3) Latency tolerance (from pmqos infrastructure)
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* These these three factors are treated independently.
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*
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* Energy break even point
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* -----------------------
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* C state entry and exit have an energy cost, and a certain amount of time in
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* the C state is required to actually break even on this cost. CPUIDLE
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* provides us this duration in the "target_residency" field. So all that we
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* need is a good prediction of how long we'll be idle. Like the traditional
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* menu governor, we start with the actual known "next timer event" time.
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*
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* Since there are other source of wakeups (interrupts for example) than
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* the next timer event, this estimation is rather optimistic. To get a
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* more realistic estimate, a correction factor is applied to the estimate,
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* that is based on historic behavior. For example, if in the past the actual
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* duration always was 50% of the next timer tick, the correction factor will
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* be 0.5.
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*
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* menu uses a running average for this correction factor, however it uses a
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* set of factors, not just a single factor. This stems from the realization
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* that the ratio is dependent on the order of magnitude of the expected
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* duration; if we expect 500 milliseconds of idle time the likelihood of
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* getting an interrupt very early is much higher than if we expect 50 micro
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* seconds of idle time. A second independent factor that has big impact on
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* the actual factor is if there is (disk) IO outstanding or not.
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* (as a special twist, we consider every sleep longer than 50 milliseconds
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* as perfect; there are no power gains for sleeping longer than this)
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*
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* For these two reasons we keep an array of 12 independent factors, that gets
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* indexed based on the magnitude of the expected duration as well as the
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* "is IO outstanding" property.
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*
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* Repeatable-interval-detector
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* ----------------------------
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* There are some cases where "next timer" is a completely unusable predictor:
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* Those cases where the interval is fixed, for example due to hardware
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* interrupt mitigation, but also due to fixed transfer rate devices such as
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* mice.
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* For this, we use a different predictor: We track the duration of the last 8
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* intervals and if the stand deviation of these 8 intervals is below a
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* threshold value, we use the average of these intervals as prediction.
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*
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* Limiting Performance Impact
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* ---------------------------
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* C states, especially those with large exit latencies, can have a real
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* noticeable impact on workloads, which is not acceptable for most sysadmins,
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* and in addition, less performance has a power price of its own.
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*
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* As a general rule of thumb, menu assumes that the following heuristic
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* holds:
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* The busier the system, the less impact of C states is acceptable
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*
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* This rule-of-thumb is implemented using a performance-multiplier:
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* If the exit latency times the performance multiplier is longer than
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* the predicted duration, the C state is not considered a candidate
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* for selection due to a too high performance impact. So the higher
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* this multiplier is, the longer we need to be idle to pick a deep C
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* state, and thus the less likely a busy CPU will hit such a deep
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* C state.
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*
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* Two factors are used in determing this multiplier:
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* a value of 10 is added for each point of "per cpu load average" we have.
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* a value of 5 points is added for each process that is waiting for
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* IO on this CPU.
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* (these values are experimentally determined)
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*
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* The load average factor gives a longer term (few seconds) input to the
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* decision, while the iowait value gives a cpu local instantanious input.
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* The iowait factor may look low, but realize that this is also already
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* represented in the system load average.
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*
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*/
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struct menu_device {
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int last_state_idx;
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int needs_update;
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unsigned int next_timer_us;
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unsigned int predicted_us;
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unsigned int bucket;
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unsigned int correction_factor[BUCKETS];
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unsigned int intervals[INTERVALS];
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int interval_ptr;
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};
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#define LOAD_INT(x) ((x) >> FSHIFT)
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#define LOAD_FRAC(x) LOAD_INT(((x) & (FIXED_1-1)) * 100)
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static inline int get_loadavg(unsigned long load)
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{
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return LOAD_INT(load) * 10 + LOAD_FRAC(load) / 10;
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}
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static inline int which_bucket(unsigned int duration, unsigned long nr_iowaiters)
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{
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int bucket = 0;
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/*
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* We keep two groups of stats; one with no
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* IO pending, one without.
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* This allows us to calculate
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* E(duration)|iowait
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*/
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if (nr_iowaiters)
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bucket = BUCKETS/2;
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if (duration < 10)
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return bucket;
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if (duration < 100)
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return bucket + 1;
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if (duration < 1000)
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return bucket + 2;
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if (duration < 10000)
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return bucket + 3;
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if (duration < 100000)
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return bucket + 4;
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return bucket + 5;
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}
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/*
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* Return a multiplier for the exit latency that is intended
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* to take performance requirements into account.
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* The more performance critical we estimate the system
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* to be, the higher this multiplier, and thus the higher
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* the barrier to go to an expensive C state.
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*/
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static inline int performance_multiplier(unsigned long nr_iowaiters, unsigned long load)
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{
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int mult = 1;
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/* for higher loadavg, we are more reluctant */
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mult += 2 * get_loadavg(load);
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/* for IO wait tasks (per cpu!) we add 5x each */
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mult += 10 * nr_iowaiters;
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return mult;
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}
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static DEFINE_PER_CPU(struct menu_device, menu_devices);
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static void menu_update(struct cpuidle_driver *drv, struct cpuidle_device *dev);
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/* This implements DIV_ROUND_CLOSEST but avoids 64 bit division */
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static u64 div_round64(u64 dividend, u32 divisor)
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{
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return div_u64(dividend + (divisor / 2), divisor);
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}
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/*
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* Try detecting repeating patterns by keeping track of the last 8
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* intervals, and checking if the standard deviation of that set
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* of points is below a threshold. If it is... then use the
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* average of these 8 points as the estimated value.
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*/
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static void get_typical_interval(struct menu_device *data)
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{
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int i, divisor;
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unsigned int max, thresh;
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uint64_t avg, stddev;
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thresh = UINT_MAX; /* Discard outliers above this value */
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again:
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/* First calculate the average of past intervals */
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max = 0;
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avg = 0;
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divisor = 0;
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for (i = 0; i < INTERVALS; i++) {
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unsigned int value = data->intervals[i];
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if (value <= thresh) {
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avg += value;
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divisor++;
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if (value > max)
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max = value;
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}
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}
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if (divisor == INTERVALS)
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avg >>= INTERVAL_SHIFT;
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else
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do_div(avg, divisor);
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/* Then try to determine standard deviation */
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stddev = 0;
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for (i = 0; i < INTERVALS; i++) {
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unsigned int value = data->intervals[i];
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if (value <= thresh) {
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int64_t diff = value - avg;
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stddev += diff * diff;
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}
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}
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if (divisor == INTERVALS)
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stddev >>= INTERVAL_SHIFT;
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else
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do_div(stddev, divisor);
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/*
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* The typical interval is obtained when standard deviation is small
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* or standard deviation is small compared to the average interval.
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*
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* int_sqrt() formal parameter type is unsigned long. When the
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* greatest difference to an outlier exceeds ~65 ms * sqrt(divisor)
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* the resulting squared standard deviation exceeds the input domain
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* of int_sqrt on platforms where unsigned long is 32 bits in size.
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* In such case reject the candidate average.
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*
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* Use this result only if there is no timer to wake us up sooner.
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*/
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if (likely(stddev <= ULONG_MAX)) {
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stddev = int_sqrt(stddev);
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if (((avg > stddev * 6) && (divisor * 4 >= INTERVALS * 3))
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|| stddev <= 20) {
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if (data->next_timer_us > avg)
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data->predicted_us = avg;
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return;
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}
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}
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/*
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* If we have outliers to the upside in our distribution, discard
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* those by setting the threshold to exclude these outliers, then
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* calculate the average and standard deviation again. Once we get
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* down to the bottom 3/4 of our samples, stop excluding samples.
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*
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* This can deal with workloads that have long pauses interspersed
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* with sporadic activity with a bunch of short pauses.
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*/
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if ((divisor * 4) <= INTERVALS * 3)
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return;
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thresh = max - 1;
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goto again;
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}
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/**
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* menu_select - selects the next idle state to enter
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* @drv: cpuidle driver containing state data
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* @dev: the CPU
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*/
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static int menu_select(struct cpuidle_driver *drv, struct cpuidle_device *dev)
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{
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struct menu_device *data = &__get_cpu_var(menu_devices);
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int latency_req = pm_qos_request(PM_QOS_CPU_DMA_LATENCY);
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int i;
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unsigned int interactivity_req;
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unsigned long nr_iowaiters, cpu_load;
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if (data->needs_update) {
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menu_update(drv, dev);
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data->needs_update = 0;
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}
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data->last_state_idx = CPUIDLE_DRIVER_STATE_START - 1;
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/* Special case when user has set very strict latency requirement */
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if (unlikely(latency_req == 0))
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return 0;
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/* determine the expected residency time, round up */
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data->next_timer_us = ktime_to_us(tick_nohz_get_sleep_length());
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get_iowait_load(&nr_iowaiters, &cpu_load);
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data->bucket = which_bucket(data->next_timer_us, nr_iowaiters);
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/*
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* Force the result of multiplication to be 64 bits even if both
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* operands are 32 bits.
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* Make sure to round up for half microseconds.
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*/
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data->predicted_us = div_round64((uint64_t)data->next_timer_us *
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data->correction_factor[data->bucket],
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RESOLUTION * DECAY);
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get_typical_interval(data);
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/*
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* Performance multiplier defines a minimum predicted idle
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* duration / latency ratio. Adjust the latency limit if
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* necessary.
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*/
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interactivity_req = data->predicted_us / performance_multiplier(nr_iowaiters, cpu_load);
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if (latency_req > interactivity_req)
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latency_req = interactivity_req;
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/*
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* We want to default to C1 (hlt), not to busy polling
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* unless the timer is happening really really soon.
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*/
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if (data->next_timer_us > 5 &&
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!drv->states[CPUIDLE_DRIVER_STATE_START].disabled &&
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dev->states_usage[CPUIDLE_DRIVER_STATE_START].disable == 0)
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data->last_state_idx = CPUIDLE_DRIVER_STATE_START;
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/*
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* Find the idle state with the lowest power while satisfying
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* our constraints.
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*/
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for (i = CPUIDLE_DRIVER_STATE_START; i < drv->state_count; i++) {
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struct cpuidle_state *s = &drv->states[i];
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struct cpuidle_state_usage *su = &dev->states_usage[i];
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if (s->disabled || su->disable)
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continue;
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if (s->target_residency > data->predicted_us)
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continue;
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if (s->exit_latency > latency_req)
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continue;
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data->last_state_idx = i;
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}
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return data->last_state_idx;
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}
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/**
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* menu_reflect - records that data structures need update
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* @dev: the CPU
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* @index: the index of actual entered state
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*
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* NOTE: it's important to be fast here because this operation will add to
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* the overall exit latency.
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*/
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static void menu_reflect(struct cpuidle_device *dev, int index)
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{
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struct menu_device *data = &__get_cpu_var(menu_devices);
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data->last_state_idx = index;
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if (index >= 0)
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data->needs_update = 1;
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}
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/**
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* menu_update - attempts to guess what happened after entry
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* @drv: cpuidle driver containing state data
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* @dev: the CPU
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*/
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static void menu_update(struct cpuidle_driver *drv, struct cpuidle_device *dev)
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{
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struct menu_device *data = &__get_cpu_var(menu_devices);
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int last_idx = data->last_state_idx;
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struct cpuidle_state *target = &drv->states[last_idx];
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unsigned int measured_us;
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unsigned int new_factor;
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/*
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* Try to figure out how much time passed between entry to low
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* power state and occurrence of the wakeup event.
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*
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* If the entered idle state didn't support residency measurements,
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* we are basically lost in the dark how much time passed.
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* As a compromise, assume we slept for the whole expected time.
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*
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* Any measured amount of time will include the exit latency.
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* Since we are interested in when the wakeup begun, not when it
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* was completed, we must subtract the exit latency. However, if
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* the measured amount of time is less than the exit latency,
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* assume the state was never reached and the exit latency is 0.
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*/
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if (unlikely(!(target->flags & CPUIDLE_FLAG_TIME_VALID))) {
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/* Use timer value as is */
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measured_us = data->next_timer_us;
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} else {
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/* Use measured value */
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measured_us = cpuidle_get_last_residency(dev);
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/* Deduct exit latency */
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if (measured_us > target->exit_latency)
|
|
measured_us -= target->exit_latency;
|
|
|
|
/* Make sure our coefficients do not exceed unity */
|
|
if (measured_us > data->next_timer_us)
|
|
measured_us = data->next_timer_us;
|
|
}
|
|
|
|
/* Update our correction ratio */
|
|
new_factor = data->correction_factor[data->bucket];
|
|
new_factor -= new_factor / DECAY;
|
|
|
|
if (data->next_timer_us > 0 && measured_us < MAX_INTERESTING)
|
|
new_factor += RESOLUTION * measured_us / data->next_timer_us;
|
|
else
|
|
/*
|
|
* we were idle so long that we count it as a perfect
|
|
* prediction
|
|
*/
|
|
new_factor += RESOLUTION;
|
|
|
|
/*
|
|
* We don't want 0 as factor; we always want at least
|
|
* a tiny bit of estimated time. Fortunately, due to rounding,
|
|
* new_factor will stay nonzero regardless of measured_us values
|
|
* and the compiler can eliminate this test as long as DECAY > 1.
|
|
*/
|
|
if (DECAY == 1 && unlikely(new_factor == 0))
|
|
new_factor = 1;
|
|
|
|
data->correction_factor[data->bucket] = new_factor;
|
|
|
|
/* update the repeating-pattern data */
|
|
data->intervals[data->interval_ptr++] = measured_us;
|
|
if (data->interval_ptr >= INTERVALS)
|
|
data->interval_ptr = 0;
|
|
}
|
|
|
|
/**
|
|
* menu_enable_device - scans a CPU's states and does setup
|
|
* @drv: cpuidle driver
|
|
* @dev: the CPU
|
|
*/
|
|
static int menu_enable_device(struct cpuidle_driver *drv,
|
|
struct cpuidle_device *dev)
|
|
{
|
|
struct menu_device *data = &per_cpu(menu_devices, dev->cpu);
|
|
int i;
|
|
|
|
memset(data, 0, sizeof(struct menu_device));
|
|
|
|
/*
|
|
* if the correction factor is 0 (eg first time init or cpu hotplug
|
|
* etc), we actually want to start out with a unity factor.
|
|
*/
|
|
for(i = 0; i < BUCKETS; i++)
|
|
data->correction_factor[i] = RESOLUTION * DECAY;
|
|
|
|
return 0;
|
|
}
|
|
|
|
static struct cpuidle_governor menu_governor = {
|
|
.name = "menu",
|
|
.rating = 20,
|
|
.enable = menu_enable_device,
|
|
.select = menu_select,
|
|
.reflect = menu_reflect,
|
|
.owner = THIS_MODULE,
|
|
};
|
|
|
|
/**
|
|
* init_menu - initializes the governor
|
|
*/
|
|
static int __init init_menu(void)
|
|
{
|
|
return cpuidle_register_governor(&menu_governor);
|
|
}
|
|
|
|
postcore_initcall(init_menu);
|