forked from Minki/linux
941bdea79e
203 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
Ingo Molnar
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fbf9482911 |
perf sched: Implement the scheduling workload replay engine
Integrate the schedbench.c bits with the raw trace events that we get from the perf machinery, and activate the workload replayer/simulator. Example of a captured 'make -j' workload: $ perf sched run measurement overhead: 90 nsecs sleep measurement overhead: 2724743 nsecs the run test took 1000081 nsecs the sleep test took 2981111 nsecs version = 0.5 ... nr_run_events: 70 nr_sleep_events: 66 nr_wakeup_events: 9 target-less wakeups: 71 multi-target wakeups: 47 run events optimized: 139 task 0 ( perf: 6607), nr_events: 2 task 1 ( perf: 6608), nr_events: 6 task 2 ( : 0), nr_events: 1 task 3 ( make: 6609), nr_events: 5 task 4 ( sh: 6610), nr_events: 4 task 5 ( make: 6611), nr_events: 6 task 6 ( sh: 6612), nr_events: 4 task 7 ( make: 6613), nr_events: 5 task 8 ( migration/11: 25), nr_events: 1 task 9 ( migration/13: 29), nr_events: 1 task 10 ( migration/15: 33), nr_events: 1 task 11 ( migration/9: 21), nr_events: 1 task 12 ( sh: 6614), nr_events: 4 task 13 ( make: 6615), nr_events: 5 task 14 ( sh: 6616), nr_events: 4 task 15 ( make: 6617), nr_events: 7 task 16 ( migration/3: 9), nr_events: 1 task 17 ( migration/5: 13), nr_events: 1 task 18 ( migration/7: 17), nr_events: 1 task 19 ( migration/1: 5), nr_events: 1 task 20 ( sh: 6618), nr_events: 4 task 21 ( make: 6619), nr_events: 5 task 22 ( sh: 6620), nr_events: 4 task 23 ( make: 6621), nr_events: 10 task 24 ( sh: 6623), nr_events: 3 task 25 ( gcc: 6624), nr_events: 4 task 26 ( gcc: 6625), nr_events: 4 task 27 ( gcc: 6626), nr_events: 5 task 28 ( collect2: 6627), nr_events: 5 task 29 ( sh: 6622), nr_events: 1 task 30 ( make: 6628), nr_events: 7 task 31 ( sh: 6630), nr_events: 4 task 32 ( gcc: 6631), nr_events: 4 task 33 ( sh: 6629), nr_events: 1 task 34 ( gcc: 6632), nr_events: 4 task 35 ( gcc: 6633), nr_events: 4 task 36 ( collect2: 6634), nr_events: 4 task 37 ( make: 6635), nr_events: 8 task 38 ( sh: 6637), nr_events: 4 task 39 ( sh: 6636), nr_events: 1 task 40 ( gcc: 6638), nr_events: 4 task 41 ( gcc: 6639), nr_events: 4 task 42 ( gcc: 6640), nr_events: 4 task 43 ( collect2: 6641), nr_events: 4 task 44 ( make: 6642), nr_events: 6 task 45 ( sh: 6643), nr_events: 5 task 46 ( sh: 6644), nr_events: 3 task 47 ( sh: 6645), nr_events: 4 task 48 ( make: 6646), nr_events: 6 task 49 ( sh: 6647), nr_events: 3 task 50 ( make: 6648), nr_events: 5 task 51 ( sh: 6649), nr_events: 5 task 52 ( sh: 6650), nr_events: 6 task 53 ( make: 6651), nr_events: 4 task 54 ( make: 6652), nr_events: 5 task 55 ( make: 6653), nr_events: 4 task 56 ( make: 6654), nr_events: 4 task 57 ( make: 6655), nr_events: 5 task 58 ( sh: 6656), nr_events: 4 task 59 ( gcc: 6657), nr_events: 9 task 60 ( ksoftirqd/3: 10), nr_events: 1 task 61 ( gcc: 6658), nr_events: 4 task 62 ( make: 6659), nr_events: 5 task 63 ( sh: 6660), nr_events: 3 task 64 ( gcc: 6661), nr_events: 5 task 65 ( collect2: 6662), nr_events: 4 ------------------------------------------------------------ #1 : 256.745, ravg: 256.74, cpu: 0.00 / 0.00 #2 : 439.372, ravg: 275.01, cpu: 0.00 / 0.00 #3 : 411.971, ravg: 288.70, cpu: 0.00 / 0.00 #4 : 385.500, ravg: 298.38, cpu: 0.00 / 0.00 #5 : 366.526, ravg: 305.20, cpu: 0.00 / 0.00 #6 : 381.281, ravg: 312.81, cpu: 0.00 / 0.00 #7 : 410.756, ravg: 322.60, cpu: 0.00 / 0.00 #8 : 368.009, ravg: 327.14, cpu: 0.00 / 0.00 #9 : 408.098, ravg: 335.24, cpu: 0.00 / 0.00 #10 : 368.582, ravg: 338.57, cpu: 0.00 / 0.00 I.e. we successfully analyzed the trace, replayed it via real threads and measured the replayed workload's scheduling properties. This is how it looked like in 'top' output: PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 7164 mingo 20 0 1434m 8080 888 R 57.0 0.1 0:02.04 :perf 7165 mingo 20 0 1434m 8080 888 R 41.8 0.1 0:01.52 :perf 7228 mingo 20 0 1434m 8080 888 R 39.8 0.1 0:01.44 :gcc 7225 mingo 20 0 1434m 8080 888 R 33.8 0.1 0:01.26 :gcc 7202 mingo 20 0 1434m 8080 888 R 31.2 0.1 0:01.16 :sh 7222 mingo 20 0 1434m 8080 888 R 25.2 0.1 0:00.96 :sh 7211 mingo 20 0 1434m 8080 888 R 21.9 0.1 0:00.82 :sh 7213 mingo 20 0 1434m 8080 888 D 19.2 0.1 0:00.74 :sh 7194 mingo 20 0 1434m 8080 888 D 18.6 0.1 0:00.72 :make There's still various kinks in it - more patches to come. Cc: Peter Zijlstra <a.p.zijlstra@chello.nl> Cc: Mike Galbraith <efault@gmx.de> Cc: Paul Mackerras <paulus@samba.org> Cc: Arnaldo Carvalho de Melo <acme@redhat.com> Cc: Frederic Weisbecker <fweisbec@gmail.com> LKML-Reference: <new-submission> Signed-off-by: Ingo Molnar <mingo@elte.hu> |
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Ingo Molnar
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ec156764d4 |
perf sched: Import schedbench.c
Import the schedbench.c tool that i wrote some time ago to simulate scheduler behavior but never finished. It's a good basis for perf sched nevertheless. Most of its guts are not hooked up to the perf event loop yet - that will be done in the patches to come. Cc: Peter Zijlstra <a.p.zijlstra@chello.nl> Cc: Mike Galbraith <efault@gmx.de> Cc: Paul Mackerras <paulus@samba.org> Cc: Arnaldo Carvalho de Melo <acme@redhat.com> Cc: Frederic Weisbecker <fweisbec@gmail.com> LKML-Reference: <new-submission> Signed-off-by: Ingo Molnar <mingo@elte.hu> |
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Ingo Molnar
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0a02ad9331 |
perf: Add 'perf sched' tool
This turn-key tool allows scheduler measurements to be conducted and the results be displayed numerically. First baby step towards that goal: clone the new command off of perf trace. Fix a few other details along the way: - add (minimal) perf trace documentation - reorder a few places - list perf trace in the mainporcelain list as well as it's a very useful utility. Cc: Peter Zijlstra <a.p.zijlstra@chello.nl> Cc: Mike Galbraith <efault@gmx.de> Cc: Paul Mackerras <paulus@samba.org> Cc: Arnaldo Carvalho de Melo <acme@redhat.com> Cc: Frederic Weisbecker <fweisbec@gmail.com> LKML-Reference: <new-submission> Signed-off-by: Ingo Molnar <mingo@elte.hu> |