- 10 9月, 2018 2 次提交
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由 Steve Muckle 提交于
When a task which previously ran on a given CPU is remotely queued to wake up on that same CPU, there is a period where the task's state is TASK_WAKING and its vruntime is not normalized. This is not accounted for in vruntime_normalized() which will cause an error in the task's vruntime if it is switched from the fair class during this time. For example if it is boosted to RT priority via rt_mutex_setprio(), rq->min_vruntime will not be subtracted from the task's vruntime but it will be added again when the task returns to the fair class. The task's vruntime will have been erroneously doubled and the effective priority of the task will be reduced. Note this will also lead to inflation of all vruntimes since the doubled vruntime value will become the rq's min_vruntime when other tasks leave the rq. This leads to repeated doubling of the vruntime and priority penalty. Fix this by recognizing a WAKING task's vruntime as normalized only if sched_remote_wakeup is true. This indicates a migration, in which case the vruntime would have been normalized in migrate_task_rq_fair(). Based on a similar patch from John Dias <joaodias@google.com>. Suggested-by: NPeter Zijlstra <peterz@infradead.org> Tested-by: NDietmar Eggemann <dietmar.eggemann@arm.com> Signed-off-by: NSteve Muckle <smuckle@google.com> Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Cc: Chris Redpath <Chris.Redpath@arm.com> Cc: John Dias <joaodias@google.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Miguel de Dios <migueldedios@google.com> Cc: Morten Rasmussen <Morten.Rasmussen@arm.com> Cc: Patrick Bellasi <Patrick.Bellasi@arm.com> Cc: Paul Turner <pjt@google.com> Cc: Quentin Perret <quentin.perret@arm.com> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: Todd Kjos <tkjos@google.com> Cc: kernel-team@android.com Fixes: b5179ac7 ("sched/fair: Prepare to fix fairness problems on migration") Link: http://lkml.kernel.org/r/20180831224217.169476-1-smuckle@google.comSigned-off-by: NIngo Molnar <mingo@kernel.org>
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由 Vincent Guittot 提交于
update_blocked_averages() is called to periodiccally decay the stalled load of idle CPUs and to sync all loads before running load balance. When cfs rq is idle, it trigs a load balance during pick_next_task_fair() in order to potentially pull tasks and to use this newly idle CPU. This load balance happens whereas prev task from another class has not been put and its utilization updated yet. This may lead to wrongly account running time as idle time for RT or DL classes. Test that no RT or DL task is running when updating their utilization in update_blocked_averages(). We still update RT and DL utilization instead of simply skipping them to make sure that all metrics are synced when used during load balance. Signed-off-by: NVincent Guittot <vincent.guittot@linaro.org> Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Fixes: 371bf427 ("sched/rt: Add rt_rq utilization tracking") Fixes: 3727e0e1 ("sched/dl: Add dl_rq utilization tracking") Link: http://lkml.kernel.org/r/1535728975-22799-1-git-send-email-vincent.guittot@linaro.orgSigned-off-by: NIngo Molnar <mingo@kernel.org>
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- 25 7月, 2018 12 次提交
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由 Srikar Dronamraju 提交于
numa_migrate_preferred() is called periodically or when task preferred node changes. Preferred node evaluations happen once per scan sequence. If the scan completion happens just after the periodic NUMA migration, then we try to migrate to the preferred node and the preferred node might change, needing another node migration. Avoid this by checking for scan sequence completion only when checking for periodic migration. Running SPECjbb2005 on a 4 node machine and comparing bops/JVM JVMS LAST_PATCH WITH_PATCH %CHANGE 16 25862.6 26158.1 1.14258 1 74357 72725 -2.19482 Running SPECjbb2005 on a 16 node machine and comparing bops/JVM JVMS LAST_PATCH WITH_PATCH %CHANGE 8 117019 113992 -2.58 1 179095 174947 -2.31 (numbers from v1 based on v4.17-rc5) Testcase Time: Min Max Avg StdDev numa01.sh Real: 449.46 770.77 615.22 101.70 numa01.sh Sys: 132.72 208.17 170.46 24.96 numa01.sh User: 39185.26 60290.89 50066.76 6807.84 numa02.sh Real: 60.85 61.79 61.28 0.37 numa02.sh Sys: 15.34 24.71 21.08 3.61 numa02.sh User: 5204.41 5249.85 5231.21 17.60 numa03.sh Real: 785.50 916.97 840.77 44.98 numa03.sh Sys: 108.08 133.60 119.43 8.82 numa03.sh User: 61422.86 70919.75 64720.87 3310.61 numa04.sh Real: 429.57 587.37 480.80 57.40 numa04.sh Sys: 240.61 321.97 290.84 33.58 numa04.sh User: 34597.65 40498.99 37079.48 2060.72 numa05.sh Real: 392.09 431.25 414.65 13.82 numa05.sh Sys: 229.41 372.48 297.54 53.14 numa05.sh User: 33390.86 34697.49 34222.43 556.42 Testcase Time: Min Max Avg StdDev %Change numa01.sh Real: 424.63 566.18 498.12 59.26 23.50% numa01.sh Sys: 160.19 256.53 208.98 37.02 -18.4% numa01.sh User: 37320.00 46225.58 42001.57 3482.45 19.20% numa02.sh Real: 60.17 62.47 60.91 0.85 0.607% numa02.sh Sys: 15.30 22.82 17.04 2.90 23.70% numa02.sh User: 5202.13 5255.51 5219.08 20.14 0.232% numa03.sh Real: 823.91 844.89 833.86 8.46 0.828% numa03.sh Sys: 130.69 148.29 140.47 6.21 -14.9% numa03.sh User: 62519.15 64262.20 63613.38 620.05 1.740% numa04.sh Real: 515.30 603.74 548.56 30.93 -12.3% numa04.sh Sys: 459.73 525.48 489.18 21.63 -40.5% numa04.sh User: 40561.96 44919.18 42047.87 1526.85 -11.8% numa05.sh Real: 396.58 454.37 421.13 19.71 -1.53% numa05.sh Sys: 208.72 422.02 348.90 73.60 -14.7% numa05.sh User: 33124.08 36109.35 34846.47 1089.74 -1.79% Signed-off-by: NSrikar Dronamraju <srikar@linux.vnet.ibm.com> Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Acked-by: NMel Gorman <mgorman@techsingularity.net> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Rik van Riel <riel@surriel.com> Cc: Thomas Gleixner <tglx@linutronix.de> Link: http://lkml.kernel.org/r/1529514181-9842-20-git-send-email-srikar@linux.vnet.ibm.comSigned-off-by: NIngo Molnar <mingo@kernel.org>
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由 Srikar Dronamraju 提交于
On NUMA_BACKPLANE and NUMA_GLUELESS_MESH systems, tasks/memory should be consolidated to the closest group of nodes. In such a case, relying on group_fault metric may not always help to consolidate. There can always be a case where a node closer to the preferred node may have lesser faults than a node further away from the preferred node. In such a case, moving to node with more faults might avoid numa consolidation. Using group_weight would help to consolidate task/memory around the preferred_node. While here, to be on the conservative side, don't override migrate thread degrades locality logic for CPU_NEWLY_IDLE load balancing. Note: Similar problems exist with should_numa_migrate_memory and will be dealt separately. Running SPECjbb2005 on a 4 node machine and comparing bops/JVM JVMS LAST_PATCH WITH_PATCH %CHANGE 16 25645.4 25960 1.22 1 72142 73550 1.95 Running SPECjbb2005 on a 16 node machine and comparing bops/JVM JVMS LAST_PATCH WITH_PATCH %CHANGE 8 110199 120071 8.958 1 176303 176249 -0.03 (numbers from v1 based on v4.17-rc5) Testcase Time: Min Max Avg StdDev numa01.sh Real: 490.04 774.86 596.26 96.46 numa01.sh Sys: 151.52 242.88 184.82 31.71 numa01.sh User: 41418.41 60844.59 48776.09 6564.27 numa02.sh Real: 60.14 62.94 60.98 1.00 numa02.sh Sys: 16.11 30.77 21.20 5.28 numa02.sh User: 5184.33 5311.09 5228.50 44.24 numa03.sh Real: 790.95 856.35 826.41 24.11 numa03.sh Sys: 114.93 118.85 117.05 1.63 numa03.sh User: 60990.99 64959.28 63470.43 1415.44 numa04.sh Real: 434.37 597.92 504.87 59.70 numa04.sh Sys: 237.63 397.40 289.74 55.98 numa04.sh User: 34854.87 41121.83 38572.52 2615.84 numa05.sh Real: 386.77 448.90 417.22 22.79 numa05.sh Sys: 149.23 379.95 303.04 79.55 numa05.sh User: 32951.76 35959.58 34562.18 1034.05 Testcase Time: Min Max Avg StdDev %Change numa01.sh Real: 493.19 672.88 597.51 59.38 -0.20% numa01.sh Sys: 150.09 245.48 207.76 34.26 -11.0% numa01.sh User: 41928.51 53779.17 48747.06 3901.39 0.059% numa02.sh Real: 60.63 62.87 61.22 0.83 -0.39% numa02.sh Sys: 16.64 27.97 20.25 4.06 4.691% numa02.sh User: 5222.92 5309.60 5254.03 29.98 -0.48% numa03.sh Real: 821.52 902.15 863.60 32.41 -4.30% numa03.sh Sys: 112.04 130.66 118.35 7.08 -1.09% numa03.sh User: 62245.16 69165.14 66443.04 2450.32 -4.47% numa04.sh Real: 414.53 519.57 476.25 37.00 6.009% numa04.sh Sys: 181.84 335.67 280.41 54.07 3.327% numa04.sh User: 33924.50 39115.39 37343.78 1934.26 3.290% numa05.sh Real: 408.30 441.45 417.90 12.05 -0.16% numa05.sh Sys: 233.41 381.60 295.58 57.37 2.523% numa05.sh User: 33301.31 35972.50 34335.19 938.94 0.661% Signed-off-by: NSrikar Dronamraju <srikar@linux.vnet.ibm.com> Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mel Gorman <mgorman@techsingularity.net> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Rik van Riel <riel@surriel.com> Cc: Thomas Gleixner <tglx@linutronix.de> Link: http://lkml.kernel.org/r/1529514181-9842-16-git-send-email-srikar@linux.vnet.ibm.comSigned-off-by: NIngo Molnar <mingo@kernel.org>
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由 Srikar Dronamraju 提交于
The metrics for updating scan periods are local or task specific. Currently this update happens under the numa_group lock, which seems unnecessary. Hence move this update outside the lock. Running SPECjbb2005 on a 4 node machine and comparing bops/JVM JVMS LAST_PATCH WITH_PATCH %CHANGE 16 25355.9 25645.4 1.141 1 72812 72142 -0.92 Signed-off-by: NSrikar Dronamraju <srikar@linux.vnet.ibm.com> Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: NRik van Riel <riel@surriel.com> Acked-by: NMel Gorman <mgorman@techsingularity.net> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Link: http://lkml.kernel.org/r/1529514181-9842-15-git-send-email-srikar@linux.vnet.ibm.comSigned-off-by: NIngo Molnar <mingo@kernel.org>
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由 Srikar Dronamraju 提交于
task_numa_find_cpu() helps to find the CPU to swap/move the task to. It's guarded by numa_has_capacity(). However node not having capacity shouldn't deter a task swapping if it helps NUMA placement. Further load_too_imbalanced(), which evaluates possibilities of move/swap, provides similar checks as numa_has_capacity. Hence remove numa_has_capacity() to enhance possibilities of task swapping even if load is imbalanced. Running SPECjbb2005 on a 4 node machine and comparing bops/JVM JVMS LAST_PATCH WITH_PATCH %CHANGE 16 25657.9 25804.1 0.569 1 74435 73413 -1.37 Signed-off-by: NSrikar Dronamraju <srikar@linux.vnet.ibm.com> Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Acked-by: NRik van Riel <riel@surriel.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mel Gorman <mgorman@techsingularity.net> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Link: http://lkml.kernel.org/r/1529514181-9842-13-git-send-email-srikar@linux.vnet.ibm.comSigned-off-by: NIngo Molnar <mingo@kernel.org>
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由 Srikar Dronamraju 提交于
There are checks in migrate_swap_stop() that check if the task/CPU combination is as per migrate_swap_arg before migrating. However atleast one of the two tasks to be swapped by migrate_swap() could have migrated to a completely different CPU before updating the migrate_swap_arg. The new CPU where the task is currently running could be a different node too. If the task has migrated, numa balancer might end up placing a task in a wrong node. Instead of achieving node consolidation, it may end up spreading the load across nodes. To avoid that pass the CPUs as additional parameters. While here, place migrate_swap under CONFIG_NUMA_BALANCING. Running SPECjbb2005 on a 4 node machine and comparing bops/JVM JVMS LAST_PATCH WITH_PATCH %CHANGE 16 25377.3 25226.6 -0.59 1 72287 73326 1.437 Signed-off-by: NSrikar Dronamraju <srikar@linux.vnet.ibm.com> Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: NRik van Riel <riel@surriel.com> Acked-by: NMel Gorman <mgorman@techsingularity.net> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Link: http://lkml.kernel.org/r/1529514181-9842-10-git-send-email-srikar@linux.vnet.ibm.comSigned-off-by: NIngo Molnar <mingo@kernel.org>
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由 Srikar Dronamraju 提交于
The task_capacity field in 'struct numa_stats' is redundant. Also move nr_running for better packing within the struct. No functional changes. Running SPECjbb2005 on a 4 node machine and comparing bops/JVM JVMS LAST_PATCH WITH_PATCH %CHANGE 16 25308.6 25377.3 0.271 1 72964 72287 -0.92 Signed-off-by: NSrikar Dronamraju <srikar@linux.vnet.ibm.com> Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Acked-by: NMel Gorman <mgorman@techsingularity.net> Acked-by: NRik van Riel <riel@surriel.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Link: http://lkml.kernel.org/r/1529514181-9842-9-git-send-email-srikar@linux.vnet.ibm.comSigned-off-by: NIngo Molnar <mingo@kernel.org>
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由 Srikar Dronamraju 提交于
When comparing two nodes at a distance of 'hoplimit', we should consider nodes only up to 'hoplimit'. Currently we also consider nodes at 'oplimit' distance too. Hence two nodes at a distance of 'hoplimit' will have same groupweight. Fix this by skipping nodes at hoplimit. Running SPECjbb2005 on a 4 node machine and comparing bops/JVM JVMS LAST_PATCH WITH_PATCH %CHANGE 16 25375.3 25308.6 -0.26 1 72617 72964 0.477 Running SPECjbb2005 on a 16 node machine and comparing bops/JVM JVMS LAST_PATCH WITH_PATCH %CHANGE 8 113372 108750 -4.07684 1 177403 183115 3.21979 (numbers from v1 based on v4.17-rc5) Testcase Time: Min Max Avg StdDev numa01.sh Real: 478.45 565.90 515.11 30.87 numa01.sh Sys: 207.79 271.04 232.94 21.33 numa01.sh User: 39763.93 47303.12 43210.73 2644.86 numa02.sh Real: 60.00 61.46 60.78 0.49 numa02.sh Sys: 15.71 25.31 20.69 3.42 numa02.sh User: 5175.92 5265.86 5235.97 32.82 numa03.sh Real: 776.42 834.85 806.01 23.22 numa03.sh Sys: 114.43 128.75 121.65 5.49 numa03.sh User: 60773.93 64855.25 62616.91 1576.39 numa04.sh Real: 456.93 511.95 482.91 20.88 numa04.sh Sys: 178.09 460.89 356.86 94.58 numa04.sh User: 36312.09 42553.24 39623.21 2247.96 numa05.sh Real: 393.98 493.48 436.61 35.59 numa05.sh Sys: 164.49 329.15 265.87 61.78 numa05.sh User: 33182.65 36654.53 35074.51 1187.71 Testcase Time: Min Max Avg StdDev %Change numa01.sh Real: 414.64 819.20 556.08 147.70 -7.36% numa01.sh Sys: 77.52 205.04 139.40 52.05 67.10% numa01.sh User: 37043.24 61757.88 45517.48 9290.38 -5.06% numa02.sh Real: 60.80 63.32 61.63 0.88 -1.37% numa02.sh Sys: 17.35 39.37 25.71 7.33 -19.5% numa02.sh User: 5213.79 5374.73 5268.90 55.09 -0.62% numa03.sh Real: 780.09 948.64 831.43 63.02 -3.05% numa03.sh Sys: 104.96 136.92 116.31 11.34 4.591% numa03.sh User: 60465.42 73339.78 64368.03 4700.14 -2.72% numa04.sh Real: 412.60 681.92 521.29 96.64 -7.36% numa04.sh Sys: 210.32 314.10 251.77 37.71 41.74% numa04.sh User: 34026.38 45581.20 38534.49 4198.53 2.825% numa05.sh Real: 394.79 439.63 411.35 16.87 6.140% numa05.sh Sys: 238.32 330.09 292.31 38.32 -9.04% numa05.sh User: 33456.45 34876.07 34138.62 609.45 2.741% While there is a regression with this change, this change is needed from a correctness perspective. Also it helps consolidation as seen from perf bench output. Signed-off-by: NSrikar Dronamraju <srikar@linux.vnet.ibm.com> Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: NRik van Riel <riel@surriel.com> Acked-by: NMel Gorman <mgorman@techsingularity.net> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Link: http://lkml.kernel.org/r/1529514181-9842-8-git-send-email-srikar@linux.vnet.ibm.comSigned-off-by: NIngo Molnar <mingo@kernel.org>
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由 Srikar Dronamraju 提交于
When numa_group faults are available, task_numa_placement only uses numa_group faults to evaluate preferred node. However it still accounts task faults and even evaluates the preferred node just based on task faults just to discard it in favour of preferred node chosen on the basis of numa_group. Instead use task faults only if numa_group is not set. Running SPECjbb2005 on a 4 node machine and comparing bops/JVM JVMS LAST_PATCH WITH_PATCH %CHANGE 16 25549.6 25215.7 -1.30 1 73190 72107 -1.47 Running SPECjbb2005 on a 16 node machine and comparing bops/JVM JVMS LAST_PATCH WITH_PATCH %CHANGE 8 113437 113372 -0.05 1 196130 177403 -9.54 (numbers from v1 based on v4.17-rc5) Testcase Time: Min Max Avg StdDev numa01.sh Real: 506.35 794.46 599.06 104.26 numa01.sh Sys: 150.37 223.56 195.99 24.94 numa01.sh User: 43450.69 61752.04 49281.50 6635.33 numa02.sh Real: 60.33 62.40 61.31 0.90 numa02.sh Sys: 18.12 31.66 24.28 5.89 numa02.sh User: 5203.91 5325.32 5260.29 49.98 numa03.sh Real: 696.47 853.62 745.80 57.28 numa03.sh Sys: 85.68 123.71 97.89 13.48 numa03.sh User: 55978.45 66418.63 59254.94 3737.97 numa04.sh Real: 444.05 514.83 497.06 26.85 numa04.sh Sys: 230.39 375.79 316.23 48.58 numa04.sh User: 35403.12 41004.10 39720.80 2163.08 numa05.sh Real: 423.09 460.41 439.57 13.92 numa05.sh Sys: 287.38 480.15 369.37 68.52 numa05.sh User: 34732.12 38016.80 36255.85 1070.51 Testcase Time: Min Max Avg StdDev %Change numa01.sh Real: 478.45 565.90 515.11 30.87 16.29% numa01.sh Sys: 207.79 271.04 232.94 21.33 -15.8% numa01.sh User: 39763.93 47303.12 43210.73 2644.86 14.04% numa02.sh Real: 60.00 61.46 60.78 0.49 0.871% numa02.sh Sys: 15.71 25.31 20.69 3.42 17.35% numa02.sh User: 5175.92 5265.86 5235.97 32.82 0.464% numa03.sh Real: 776.42 834.85 806.01 23.22 -7.47% numa03.sh Sys: 114.43 128.75 121.65 5.49 -19.5% numa03.sh User: 60773.93 64855.25 62616.91 1576.39 -5.36% numa04.sh Real: 456.93 511.95 482.91 20.88 2.930% numa04.sh Sys: 178.09 460.89 356.86 94.58 -11.3% numa04.sh User: 36312.09 42553.24 39623.21 2247.96 0.246% numa05.sh Real: 393.98 493.48 436.61 35.59 0.677% numa05.sh Sys: 164.49 329.15 265.87 61.78 38.92% numa05.sh User: 33182.65 36654.53 35074.51 1187.71 3.368% Signed-off-by: NSrikar Dronamraju <srikar@linux.vnet.ibm.com> Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Acked-by: NMel Gorman <mgorman@techsingularity.net> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Rik van Riel <riel@surriel.com> Cc: Thomas Gleixner <tglx@linutronix.de> Link: http://lkml.kernel.org/r/1529514181-9842-6-git-send-email-srikar@linux.vnet.ibm.comSigned-off-by: NIngo Molnar <mingo@kernel.org>
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由 Srikar Dronamraju 提交于
Currently preferred node is set to dst_nid which is the last node in the iteration whose group weight or task weight is greater than the current node. However it doesn't guarantee that dst_nid has the numa capacity to move. It also doesn't guarantee that dst_nid has the best_cpu which is the CPU/node ideal for node migration. Lets consider faults on a 4 node system with group weight numbers in different nodes being in 0 < 1 < 2 < 3 proportion. Consider the task is running on 3 and 0 is its preferred node but its capacity is full. Consider nodes 1, 2 and 3 have capacity. Then the task should be migrated to node 1. Currently the task gets moved to node 2. env.dst_nid points to the last node whose faults were greater than current node. Modify to set the preferred node based of best_cpu. Earlier setting preferred node was skipped if nr_active_nodes is 1. This could result in the task being moved out of the preferred node to a random node during regular load balancing. Also while modifying task_numa_migrate(), use sched_setnuma to set preferred node. This ensures out numa accounting is correct. Running SPECjbb2005 on a 4 node machine and comparing bops/JVM JVMS LAST_PATCH WITH_PATCH %CHANGE 16 25122.9 25549.6 1.698 1 73850 73190 -0.89 Running SPECjbb2005 on a 16 node machine and comparing bops/JVM JVMS LAST_PATCH WITH_PATCH %CHANGE 8 105930 113437 7.08676 1 178624 196130 9.80047 (numbers from v1 based on v4.17-rc5) Testcase Time: Min Max Avg StdDev numa01.sh Real: 435.78 653.81 534.58 83.20 numa01.sh Sys: 121.93 187.18 145.90 23.47 numa01.sh User: 37082.81 51402.80 43647.60 5409.75 numa02.sh Real: 60.64 61.63 61.19 0.40 numa02.sh Sys: 14.72 25.68 19.06 4.03 numa02.sh User: 5210.95 5266.69 5233.30 20.82 numa03.sh Real: 746.51 808.24 780.36 23.88 numa03.sh Sys: 97.26 108.48 105.07 4.28 numa03.sh User: 58956.30 61397.05 60162.95 1050.82 numa04.sh Real: 465.97 519.27 484.81 19.62 numa04.sh Sys: 304.43 359.08 334.68 20.64 numa04.sh User: 37544.16 41186.15 39262.44 1314.91 numa05.sh Real: 411.57 457.20 433.29 16.58 numa05.sh Sys: 230.05 435.48 339.95 67.58 numa05.sh User: 33325.54 36896.31 35637.84 1222.64 Testcase Time: Min Max Avg StdDev %Change numa01.sh Real: 506.35 794.46 599.06 104.26 -10.76% numa01.sh Sys: 150.37 223.56 195.99 24.94 -25.55% numa01.sh User: 43450.69 61752.04 49281.50 6635.33 -11.43% numa02.sh Real: 60.33 62.40 61.31 0.90 -0.195% numa02.sh Sys: 18.12 31.66 24.28 5.89 -21.49% numa02.sh User: 5203.91 5325.32 5260.29 49.98 -0.513% numa03.sh Real: 696.47 853.62 745.80 57.28 4.6339% numa03.sh Sys: 85.68 123.71 97.89 13.48 7.3347% numa03.sh User: 55978.45 66418.63 59254.94 3737.97 1.5323% numa04.sh Real: 444.05 514.83 497.06 26.85 -2.464% numa04.sh Sys: 230.39 375.79 316.23 48.58 5.8343% numa04.sh User: 35403.12 41004.10 39720.80 2163.08 -1.153% numa05.sh Real: 423.09 460.41 439.57 13.92 -1.428% numa05.sh Sys: 287.38 480.15 369.37 68.52 -7.964% numa05.sh User: 34732.12 38016.80 36255.85 1070.51 -1.704% Signed-off-by: NSrikar Dronamraju <srikar@linux.vnet.ibm.com> Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Acked-by: NMel Gorman <mgorman@techsingularity.net> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Rik van Riel <riel@surriel.com> Cc: Thomas Gleixner <tglx@linutronix.de> Link: http://lkml.kernel.org/r/1529514181-9842-5-git-send-email-srikar@linux.vnet.ibm.comSigned-off-by: NIngo Molnar <mingo@kernel.org>
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由 Srikar Dronamraju 提交于
Currently load_too_imbalance() cares about the slope of imbalance. It doesn't care of the direction of the imbalance. However this may not work if nodes that are being compared have dissimilar capacities. Few nodes might have more cores than other nodes in the system. Also unlike traditional load balance at a NUMA sched domain, multiple requests to migrate from the same source node to same destination node may run in parallel. This can cause huge load imbalance. This is specially true on a larger machines with either large cores per node or more number of nodes in the system. Hence allow move/swap only if the imbalance is going to reduce. Running SPECjbb2005 on a 4 node machine and comparing bops/JVM JVMS LAST_PATCH WITH_PATCH %CHANGE 16 25058.2 25122.9 0.25 1 72950 73850 1.23 (numbers from v1 based on v4.17-rc5) Testcase Time: Min Max Avg StdDev numa01.sh Real: 516.14 892.41 739.84 151.32 numa01.sh Sys: 153.16 192.99 177.70 14.58 numa01.sh User: 39821.04 69528.92 57193.87 10989.48 numa02.sh Real: 60.91 62.35 61.58 0.63 numa02.sh Sys: 16.47 26.16 21.20 3.85 numa02.sh User: 5227.58 5309.61 5265.17 31.04 numa03.sh Real: 739.07 917.73 795.75 64.45 numa03.sh Sys: 94.46 136.08 109.48 14.58 numa03.sh User: 57478.56 72014.09 61764.48 5343.69 numa04.sh Real: 442.61 715.43 530.31 96.12 numa04.sh Sys: 224.90 348.63 285.61 48.83 numa04.sh User: 35836.84 47522.47 40235.41 3985.26 numa05.sh Real: 386.13 489.17 434.94 43.59 numa05.sh Sys: 144.29 438.56 278.80 105.78 numa05.sh User: 33255.86 36890.82 34879.31 1641.98 Testcase Time: Min Max Avg StdDev %Change numa01.sh Real: 435.78 653.81 534.58 83.20 38.39% numa01.sh Sys: 121.93 187.18 145.90 23.47 21.79% numa01.sh User: 37082.81 51402.80 43647.60 5409.75 31.03% numa02.sh Real: 60.64 61.63 61.19 0.40 0.637% numa02.sh Sys: 14.72 25.68 19.06 4.03 11.22% numa02.sh User: 5210.95 5266.69 5233.30 20.82 0.608% numa03.sh Real: 746.51 808.24 780.36 23.88 1.972% numa03.sh Sys: 97.26 108.48 105.07 4.28 4.197% numa03.sh User: 58956.30 61397.05 60162.95 1050.82 2.661% numa04.sh Real: 465.97 519.27 484.81 19.62 9.385% numa04.sh Sys: 304.43 359.08 334.68 20.64 -14.6% numa04.sh User: 37544.16 41186.15 39262.44 1314.91 2.478% numa05.sh Real: 411.57 457.20 433.29 16.58 0.380% numa05.sh Sys: 230.05 435.48 339.95 67.58 -17.9% numa05.sh User: 33325.54 36896.31 35637.84 1222.64 -2.12% Signed-off-by: NSrikar Dronamraju <srikar@linux.vnet.ibm.com> Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: NRik van Riel <riel@surriel.com> Acked-by: NMel Gorman <mgorman@techsingularity.net> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Link: http://lkml.kernel.org/r/1529514181-9842-4-git-send-email-srikar@linux.vnet.ibm.comSigned-off-by: NIngo Molnar <mingo@kernel.org>
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由 Srikar Dronamraju 提交于
task_numa_compare() helps choose the best CPU to move or swap the selected task. To achieve this task_numa_compare() is called for every CPU in the node. Currently it evaluates if the task can be moved/swapped for each of the CPUs. However the move evaluation is mostly independent of the CPU. Evaluating the move logic once per node, provides scope for simplifying task_numa_compare(). Running SPECjbb2005 on a 4 node machine and comparing bops/JVM JVMS LAST_PATCH WITH_PATCH %CHANGE 16 25705.2 25058.2 -2.51 1 74433 72950 -1.99 Running SPECjbb2005 on a 16 node machine and comparing bops/JVM JVMS LAST_PATCH WITH_PATCH %CHANGE 8 96589.6 105930 9.670 1 181830 178624 -1.76 (numbers from v1 based on v4.17-rc5) Testcase Time: Min Max Avg StdDev numa01.sh Real: 440.65 941.32 758.98 189.17 numa01.sh Sys: 183.48 320.07 258.42 50.09 numa01.sh User: 37384.65 71818.14 60302.51 13798.96 numa02.sh Real: 61.24 65.35 62.49 1.49 numa02.sh Sys: 16.83 24.18 21.40 2.60 numa02.sh User: 5219.59 5356.34 5264.03 49.07 numa03.sh Real: 822.04 912.40 873.55 37.35 numa03.sh Sys: 118.80 140.94 132.90 7.60 numa03.sh User: 62485.19 70025.01 67208.33 2967.10 numa04.sh Real: 690.66 872.12 778.49 65.44 numa04.sh Sys: 459.26 563.03 494.03 42.39 numa04.sh User: 51116.44 70527.20 58849.44 8461.28 numa05.sh Real: 418.37 562.28 525.77 54.27 numa05.sh Sys: 299.45 481.00 392.49 64.27 numa05.sh User: 34115.09 41324.02 39105.30 2627.68 Testcase Time: Min Max Avg StdDev %Change numa01.sh Real: 516.14 892.41 739.84 151.32 2.587% numa01.sh Sys: 153.16 192.99 177.70 14.58 45.42% numa01.sh User: 39821.04 69528.92 57193.87 10989.48 5.435% numa02.sh Real: 60.91 62.35 61.58 0.63 1.477% numa02.sh Sys: 16.47 26.16 21.20 3.85 0.943% numa02.sh User: 5227.58 5309.61 5265.17 31.04 -0.02% numa03.sh Real: 739.07 917.73 795.75 64.45 9.776% numa03.sh Sys: 94.46 136.08 109.48 14.58 21.39% numa03.sh User: 57478.56 72014.09 61764.48 5343.69 8.813% numa04.sh Real: 442.61 715.43 530.31 96.12 46.79% numa04.sh Sys: 224.90 348.63 285.61 48.83 72.97% numa04.sh User: 35836.84 47522.47 40235.41 3985.26 46.26% numa05.sh Real: 386.13 489.17 434.94 43.59 20.88% numa05.sh Sys: 144.29 438.56 278.80 105.78 40.77% numa05.sh User: 33255.86 36890.82 34879.31 1641.98 12.11% Signed-off-by: NSrikar Dronamraju <srikar@linux.vnet.ibm.com> Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Acked-by: NMel Gorman <mgorman@techsingularity.net> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Rik van Riel <riel@surriel.com> Cc: Thomas Gleixner <tglx@linutronix.de> Link: http://lkml.kernel.org/r/1529514181-9842-3-git-send-email-srikar@linux.vnet.ibm.comSigned-off-by: NIngo Molnar <mingo@kernel.org>
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由 Vincent Guittot 提交于
Reuse cpu_util_irq() that has been defined for schedutil and set irq util to 0 when !CONFIG_IRQ_TIME_ACCOUNTING. But the compiler is not able to optimize the sequence (at least with aarch64 GCC 7.2.1): free *= (max - irq); free /= max; when irq is fixed to 0 Add a new inline function scale_irq_capacity() that will scale utilization when irq is accounted. Reuse this funciton in schedutil which applies similar formula. Suggested-by: NIngo Molnar <mingo@redhat.com> Signed-off-by: NVincent Guittot <vincent.guittot@linaro.org> Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Acked-by: NViresh Kumar <viresh.kumar@linaro.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: rjw@rjwysocki.net Link: http://lkml.kernel.org/r/1532001606-6689-1-git-send-email-vincent.guittot@linaro.orgSigned-off-by: NIngo Molnar <mingo@kernel.org>
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- 16 7月, 2018 7 次提交
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由 Vincent Guittot 提交于
rt_avg is not used anywhere anymore, so we can remove all related code. Signed-off-by: NVincent Guittot <vincent.guittot@linaro.org> Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Morten.Rasmussen@arm.com Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: claudio@evidence.eu.com Cc: daniel.lezcano@linaro.org Cc: dietmar.eggemann@arm.com Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: luca.abeni@santannapisa.it Cc: patrick.bellasi@arm.com Cc: quentin.perret@arm.com Cc: rjw@rjwysocki.net Cc: valentin.schneider@arm.com Cc: viresh.kumar@linaro.org Link: http://lkml.kernel.org/r/1530200714-4504-11-git-send-email-vincent.guittot@linaro.orgSigned-off-by: NIngo Molnar <mingo@kernel.org>
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由 Vincent Guittot 提交于
The utilization of the CPU by RT, DL and IRQs are now tracked with PELT so we can use these metrics instead of rt_avg to evaluate the remaining capacity available for CFS class. scale_rt_capacity() behavior has been changed and now returns the remaining capacity available for CFS instead of a scaling factor because RT, DL and IRQ provide now absolute utilization value. The same formula as schedutil is used: IRQ util_avg + (1 - IRQ util_avg / max capacity ) * /Sum rq util_avg but the implementation is different because it doesn't return the same value and doesn't benefit of the same optimization. Signed-off-by: NVincent Guittot <vincent.guittot@linaro.org> Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Morten.Rasmussen@arm.com Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: claudio@evidence.eu.com Cc: daniel.lezcano@linaro.org Cc: dietmar.eggemann@arm.com Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: luca.abeni@santannapisa.it Cc: patrick.bellasi@arm.com Cc: quentin.perret@arm.com Cc: rjw@rjwysocki.net Cc: valentin.schneider@arm.com Cc: viresh.kumar@linaro.org Link: http://lkml.kernel.org/r/1530200714-4504-10-git-send-email-vincent.guittot@linaro.orgSigned-off-by: NIngo Molnar <mingo@kernel.org>
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由 Vincent Guittot 提交于
interrupt and steal time are the only remaining activities tracked by rt_avg. Like for sched classes, we can use PELT to track their average utilization of the CPU. But unlike sched class, we don't track when entering/leaving interrupt; Instead, we take into account the time spent under interrupt context when we update rqs' clock (rq_clock_task). This also means that we have to decay the normal context time and account for interrupt time during the update. That's also important to note that because: rq_clock == rq_clock_task + interrupt time and rq_clock_task is used by a sched class to compute its utilization, the util_avg of a sched class only reflects the utilization of the time spent in normal context and not of the whole time of the CPU. The utilization of interrupt gives an more accurate level of utilization of CPU. The CPU utilization is: avg_irq + (1 - avg_irq / max capacity) * /Sum avg_rq Most of the time, avg_irq is small and neglictible so the use of the approximation CPU utilization = /Sum avg_rq was enough. Signed-off-by: NVincent Guittot <vincent.guittot@linaro.org> Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Morten.Rasmussen@arm.com Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: claudio@evidence.eu.com Cc: daniel.lezcano@linaro.org Cc: dietmar.eggemann@arm.com Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: luca.abeni@santannapisa.it Cc: patrick.bellasi@arm.com Cc: quentin.perret@arm.com Cc: rjw@rjwysocki.net Cc: valentin.schneider@arm.com Cc: viresh.kumar@linaro.org Link: http://lkml.kernel.org/r/1530200714-4504-7-git-send-email-vincent.guittot@linaro.orgSigned-off-by: NIngo Molnar <mingo@kernel.org>
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由 Vincent Guittot 提交于
Similarly to what happens with RT tasks, CFS tasks can be preempted by DL tasks and the CFS's utilization might no longer describes the real utilization level. Current DL bandwidth reflects the requirements to meet deadline when tasks are enqueued but not the current utilization of the DL sched class. We track DL class utilization to estimate the system utilization. Signed-off-by: NVincent Guittot <vincent.guittot@linaro.org> Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Morten.Rasmussen@arm.com Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: claudio@evidence.eu.com Cc: daniel.lezcano@linaro.org Cc: dietmar.eggemann@arm.com Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: luca.abeni@santannapisa.it Cc: patrick.bellasi@arm.com Cc: quentin.perret@arm.com Cc: rjw@rjwysocki.net Cc: valentin.schneider@arm.com Cc: viresh.kumar@linaro.org Link: http://lkml.kernel.org/r/1530200714-4504-5-git-send-email-vincent.guittot@linaro.orgSigned-off-by: NIngo Molnar <mingo@kernel.org>
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由 Vincent Guittot 提交于
schedutil governor relies on cfs_rq's util_avg to choose the OPP when CFS tasks are running. When the CPU is overloaded by CFS and RT tasks, CFS tasks are preempted by RT tasks and in this case util_avg reflects the remaining capacity but not what CFS want to use. In such case, schedutil can select a lower OPP whereas the CPU is overloaded. In order to have a more accurate view of the utilization of the CPU, we track the utilization of RT tasks. Only util_avg is correctly tracked but not load_avg and runnable_load_avg which are useless for rt_rq. rt_rq uses rq_clock_task and cfs_rq uses cfs_rq_clock_task but they are the same at the root group level, so the PELT windows of the util_sum are aligned. Signed-off-by: NVincent Guittot <vincent.guittot@linaro.org> Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Morten.Rasmussen@arm.com Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: claudio@evidence.eu.com Cc: daniel.lezcano@linaro.org Cc: dietmar.eggemann@arm.com Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: luca.abeni@santannapisa.it Cc: patrick.bellasi@arm.com Cc: quentin.perret@arm.com Cc: rjw@rjwysocki.net Cc: valentin.schneider@arm.com Cc: viresh.kumar@linaro.org Link: http://lkml.kernel.org/r/1530200714-4504-3-git-send-email-vincent.guittot@linaro.orgSigned-off-by: NIngo Molnar <mingo@kernel.org>
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由 Vincent Guittot 提交于
We want to track rt_rq's utilization as a part of the estimation of the whole rq's utilization. This is necessary because rt tasks can steal utilization to cfs tasks and make them lighter than they are. As we want to use the same load tracking mecanism for both and prevent useless dependency between cfs and rt code, PELT code is moved in a dedicated file. Signed-off-by: NVincent Guittot <vincent.guittot@linaro.org> Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Morten.Rasmussen@arm.com Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: claudio@evidence.eu.com Cc: daniel.lezcano@linaro.org Cc: dietmar.eggemann@arm.com Cc: joel@joelfernandes.org Cc: juri.lelli@redhat.com Cc: luca.abeni@santannapisa.it Cc: patrick.bellasi@arm.com Cc: quentin.perret@arm.com Cc: rjw@rjwysocki.net Cc: valentin.schneider@arm.com Cc: viresh.kumar@linaro.org Link: http://lkml.kernel.org/r/1530200714-4504-2-git-send-email-vincent.guittot@linaro.orgSigned-off-by: NIngo Molnar <mingo@kernel.org>
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由 Quentin Perret 提交于
When a new task wakes-up for the first time, its initial utilization is set to half of the spare capacity of its CPU. The current implementation of post_init_entity_util_avg() uses SCHED_CAPACITY_SCALE directly as a capacity reference. As a result, on a big.LITTLE system, a new task waking up on an idle little CPU will be given ~512 of util_avg, even if the CPU's capacity is significantly less than that. Fix this by computing the spare capacity with arch_scale_cpu_capacity(). Signed-off-by: NQuentin Perret <quentin.perret@arm.com> Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Acked-by: NVincent Guittot <vincent.guittot@linaro.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: morten.rasmussen@arm.com Cc: patrick.bellasi@arm.com Link: http://lkml.kernel.org/r/20180612112215.25448-1-quentin.perret@arm.comSigned-off-by: NIngo Molnar <mingo@kernel.org>
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- 03 7月, 2018 3 次提交
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由 Vincent Guittot 提交于
When a cfs_rq is throttled, parent cfs_rq->nr_running is decreased and everything happens at cfs_rq level. Currently util_est stays unchanged in such case and it keeps accounting the utilization of throttled tasks. This can somewhat make sense as we don't dequeue tasks but only throttled cfs_rq. If a task of another group is enqueued/dequeued and root cfs_rq becomes idle during the dequeue, util_est will be cleared whereas it was accounting util_est of throttled tasks before. So the behavior of util_est is not always the same regarding throttled tasks and depends of side activity. Furthermore, util_est will not be updated when the cfs_rq is unthrottled as everything happens at cfs_rq level. Main results is that util_est will stay null whereas we now have running tasks. We have to wait for the next dequeue/enqueue of the previously throttled tasks to get an up to date util_est. Remove the assumption that cfs_rq's estimated utilization of a CPU is 0 if there is no running task so the util_est of a task remains until the latter is dequeued even if its cfs_rq has been throttled. Signed-off-by: NVincent Guittot <vincent.guittot@linaro.org> Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: NPatrick Bellasi <patrick.bellasi@arm.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Fixes: 7f65ea42 ("sched/fair: Add util_est on top of PELT") Link: http://lkml.kernel.org/r/1528972380-16268-1-git-send-email-vincent.guittot@linaro.orgSigned-off-by: NIngo Molnar <mingo@kernel.org>
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由 Xunlei Pang 提交于
When period gets restarted after some idle time, start_cfs_bandwidth() doesn't update the expiration information, expire_cfs_rq_runtime() will see cfs_rq->runtime_expires smaller than rq clock and go to the clock drift logic, wasting needless CPU cycles on the scheduler hot path. Update the global expiration in start_cfs_bandwidth() to avoid frequent expire_cfs_rq_runtime() calls once a new period begins. Signed-off-by: NXunlei Pang <xlpang@linux.alibaba.com> Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: NBen Segall <bsegall@google.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Link: http://lkml.kernel.org/r/20180620101834.24455-2-xlpang@linux.alibaba.comSigned-off-by: NIngo Molnar <mingo@kernel.org>
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由 Xunlei Pang 提交于
I noticed that cgroup task groups constantly get throttled even if they have low CPU usage, this causes some jitters on the response time to some of our business containers when enabling CPU quotas. It's very simple to reproduce: mkdir /sys/fs/cgroup/cpu/test cd /sys/fs/cgroup/cpu/test echo 100000 > cpu.cfs_quota_us echo $$ > tasks then repeat: cat cpu.stat | grep nr_throttled # nr_throttled will increase steadily After some analysis, we found that cfs_rq::runtime_remaining will be cleared by expire_cfs_rq_runtime() due to two equal but stale "cfs_{b|q}->runtime_expires" after period timer is re-armed. The current condition to judge clock drift in expire_cfs_rq_runtime() is wrong, the two runtime_expires are actually the same when clock drift happens, so this condtion can never hit. The orginal design was correctly done by this commit: a9cf55b2 ("sched: Expire invalid runtime") ... but was changed to be the current implementation due to its locking bug. This patch introduces another way, it adds a new field in both structures cfs_rq and cfs_bandwidth to record the expiration update sequence, and uses them to figure out if clock drift happens (true if they are equal). Signed-off-by: NXunlei Pang <xlpang@linux.alibaba.com> Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: NBen Segall <bsegall@google.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Fixes: 51f2176d ("sched/fair: Fix unlocked reads of some cfs_b->quota/period") Link: http://lkml.kernel.org/r/20180620101834.24455-1-xlpang@linux.alibaba.comSigned-off-by: NIngo Molnar <mingo@kernel.org>
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- 21 6月, 2018 2 次提交
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由 Li RongQing 提交于
After commit: 82958366 ("sched: Replace update_shares weight distribution with per-entity computation") tg_unthrottle_up() did not update the weight. Signed-off-by: NLi RongQing <lirongqing@baidu.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Link: https://lkml.kernel.org/lkml/1523423816-18322-1-git-send-email-lirongqing@baidu.comSigned-off-by: NIngo Molnar <mingo@kernel.org>
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由 Peter Zijlstra 提交于
The static key sched_smt_present is only updated at boot time when SMT siblings have been detected. Booting with maxcpus=1 and bringing the siblings online after boot rebuilds the scheduling domains correctly but does not update the static key, so the SMT code is not enabled. Let the key be updated in the scheduler CPU hotplug code to fix this. Signed-off-by: NPeter Zijlstra <peterz@infradead.org> Signed-off-by: NThomas Gleixner <tglx@linutronix.de> Reviewed-by: NKonrad Rzeszutek Wilk <konrad.wilk@oracle.com> Acked-by: NIngo Molnar <mingo@kernel.org>
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- 13 6月, 2018 1 次提交
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由 Kees Cook 提交于
The kzalloc() function has a 2-factor argument form, kcalloc(). This patch replaces cases of: kzalloc(a * b, gfp) with: kcalloc(a * b, gfp) as well as handling cases of: kzalloc(a * b * c, gfp) with: kzalloc(array3_size(a, b, c), gfp) as it's slightly less ugly than: kzalloc_array(array_size(a, b), c, gfp) This does, however, attempt to ignore constant size factors like: kzalloc(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 Coccinelle script used for this was: // Fix redundant parens around sizeof(). @@ type TYPE; expression THING, E; @@ ( kzalloc( - (sizeof(TYPE)) * E + sizeof(TYPE) * E , ...) | kzalloc( - (sizeof(THING)) * E + sizeof(THING) * E , ...) ) // Drop single-byte sizes and redundant parens. @@ expression COUNT; typedef u8; typedef __u8; @@ ( kzalloc( - sizeof(u8) * (COUNT) + COUNT , ...) | kzalloc( - sizeof(__u8) * (COUNT) + COUNT , ...) | kzalloc( - sizeof(char) * (COUNT) + COUNT , ...) | kzalloc( - sizeof(unsigned char) * (COUNT) + COUNT , ...) | kzalloc( - sizeof(u8) * COUNT + COUNT , ...) | kzalloc( - sizeof(__u8) * COUNT + COUNT , ...) | kzalloc( - sizeof(char) * COUNT + COUNT , ...) | kzalloc( - 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; @@ ( - kzalloc + kcalloc ( - sizeof(TYPE) * (COUNT_ID) + COUNT_ID, sizeof(TYPE) , ...) | - kzalloc + kcalloc ( - sizeof(TYPE) * COUNT_ID + COUNT_ID, sizeof(TYPE) , ...) | - kzalloc + kcalloc ( - sizeof(TYPE) * (COUNT_CONST) + COUNT_CONST, sizeof(TYPE) , ...) | - kzalloc + kcalloc ( - sizeof(TYPE) * COUNT_CONST + COUNT_CONST, sizeof(TYPE) , ...) | - kzalloc + kcalloc ( - sizeof(THING) * (COUNT_ID) + COUNT_ID, sizeof(THING) , ...) | - kzalloc + kcalloc ( - sizeof(THING) * COUNT_ID + COUNT_ID, sizeof(THING) , ...) | - kzalloc + kcalloc ( - sizeof(THING) * (COUNT_CONST) + COUNT_CONST, sizeof(THING) , ...) | - kzalloc + kcalloc ( - sizeof(THING) * COUNT_CONST + COUNT_CONST, sizeof(THING) , ...) ) // 2-factor product, only identifiers. @@ identifier SIZE, COUNT; @@ - kzalloc + kcalloc ( - 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; @@ ( kzalloc( - sizeof(TYPE) * (COUNT) * (STRIDE) + array3_size(COUNT, STRIDE, sizeof(TYPE)) , ...) | kzalloc( - sizeof(TYPE) * (COUNT) * STRIDE + array3_size(COUNT, STRIDE, sizeof(TYPE)) , ...) | kzalloc( - sizeof(TYPE) * COUNT * (STRIDE) + array3_size(COUNT, STRIDE, sizeof(TYPE)) , ...) | kzalloc( - sizeof(TYPE) * COUNT * STRIDE + array3_size(COUNT, STRIDE, sizeof(TYPE)) , ...) | kzalloc( - sizeof(THING) * (COUNT) * (STRIDE) + array3_size(COUNT, STRIDE, sizeof(THING)) , ...) | kzalloc( - sizeof(THING) * (COUNT) * STRIDE + array3_size(COUNT, STRIDE, sizeof(THING)) , ...) | kzalloc( - sizeof(THING) * COUNT * (STRIDE) + array3_size(COUNT, STRIDE, sizeof(THING)) , ...) | kzalloc( - 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; @@ ( kzalloc( - sizeof(TYPE1) * sizeof(TYPE2) * COUNT + array3_size(COUNT, sizeof(TYPE1), sizeof(TYPE2)) , ...) | kzalloc( - sizeof(TYPE1) * sizeof(THING2) * (COUNT) + array3_size(COUNT, sizeof(TYPE1), sizeof(TYPE2)) , ...) | kzalloc( - sizeof(THING1) * sizeof(THING2) * COUNT + array3_size(COUNT, sizeof(THING1), sizeof(THING2)) , ...) | kzalloc( - sizeof(THING1) * sizeof(THING2) * (COUNT) + array3_size(COUNT, sizeof(THING1), sizeof(THING2)) , ...) | kzalloc( - sizeof(TYPE1) * sizeof(THING2) * COUNT + array3_size(COUNT, sizeof(TYPE1), sizeof(THING2)) , ...) | kzalloc( - 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; @@ ( kzalloc( - (COUNT) * STRIDE * SIZE + array3_size(COUNT, STRIDE, SIZE) , ...) | kzalloc( - COUNT * (STRIDE) * SIZE + array3_size(COUNT, STRIDE, SIZE) , ...) | kzalloc( - COUNT * STRIDE * (SIZE) + array3_size(COUNT, STRIDE, SIZE) , ...) | kzalloc( - (COUNT) * (STRIDE) * SIZE + array3_size(COUNT, STRIDE, SIZE) , ...) | kzalloc( - COUNT * (STRIDE) * (SIZE) + array3_size(COUNT, STRIDE, SIZE) , ...) | kzalloc( - (COUNT) * STRIDE * (SIZE) + array3_size(COUNT, STRIDE, SIZE) , ...) | kzalloc( - (COUNT) * (STRIDE) * (SIZE) + array3_size(COUNT, STRIDE, SIZE) , ...) | kzalloc( - 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; @@ ( kzalloc(C1 * C2 * C3, ...) | kzalloc( - (E1) * E2 * E3 + array3_size(E1, E2, E3) , ...) | kzalloc( - (E1) * (E2) * E3 + array3_size(E1, E2, E3) , ...) | kzalloc( - (E1) * (E2) * (E3) + array3_size(E1, E2, E3) , ...) | kzalloc( - 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; @@ ( kzalloc(sizeof(THING) * C2, ...) | kzalloc(sizeof(TYPE) * C2, ...) | kzalloc(C1 * C2 * C3, ...) | kzalloc(C1 * C2, ...) | - kzalloc + kcalloc ( - sizeof(TYPE) * (E2) + E2, sizeof(TYPE) , ...) | - kzalloc + kcalloc ( - sizeof(TYPE) * E2 + E2, sizeof(TYPE) , ...) | - kzalloc + kcalloc ( - sizeof(THING) * (E2) + E2, sizeof(THING) , ...) | - kzalloc + kcalloc ( - sizeof(THING) * E2 + E2, sizeof(THING) , ...) | - kzalloc + kcalloc ( - (E1) * E2 + E1, E2 , ...) | - kzalloc + kcalloc ( - (E1) * (E2) + E1, E2 , ...) | - kzalloc + kcalloc ( - E1 * E2 + E1, E2 , ...) ) Signed-off-by: NKees Cook <keescook@chromium.org>
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- 25 5月, 2018 1 次提交
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由 Patrick Bellasi 提交于
When a task is enqueued the estimated utilization of a CPU is updated to better support the selection of the required frequency. However, schedutil is (implicitly) updated by update_load_avg() which always happens before util_est_{en,de}queue(), thus potentially introducing a latency between estimated utilization updates and frequency selections. Let's update util_est at the beginning of enqueue_task_fair(), which will ensure that all schedutil updates will see the most updated estimated utilization value for a CPU. Reported-by: NVincent Guittot <vincent.guittot@linaro.org> Signed-off-by: NPatrick Bellasi <patrick.bellasi@arm.com> Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: NThomas Gleixner <tglx@linutronix.de> Acked-by: NViresh Kumar <viresh.kumar@linaro.org> Acked-by: NVincent Guittot <vincent.guittot@linaro.org> Cc: Dietmar Eggemann <dietmar.eggemann@arm.com> Cc: Joel Fernandes <joelaf@google.com> Cc: Juri Lelli <juri.lelli@redhat.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Morten Rasmussen <morten.rasmussen@arm.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Rafael J . Wysocki <rafael.j.wysocki@intel.com> Cc: Steve Muckle <smuckle@google.com> Fixes: 7f65ea42 ("sched/fair: Add util_est on top of PELT") Link: http://lkml.kernel.org/r/20180524141023.13765-3-patrick.bellasi@arm.comSigned-off-by: NIngo Molnar <mingo@kernel.org>
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- 14 5月, 2018 2 次提交
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由 Rohit Jain 提交于
sched/core: Distinguish between idle_cpu() calls based on desired effect, introduce available_idle_cpu() In the following commit: 247f2f6f ("sched/core: Don't schedule threads on pre-empted vCPUs") ... we distinguish between idle_cpu() when the vCPU is not running for scheduling threads. However, the idle_cpu() function is used in other places for actually checking whether the state of the CPU is idle or not. Hence split the use of that function based on the desired return value, by introducing the available_idle_cpu() function. This fixes a (slight) regression in that initial vCPU commit, because some code paths (like the load-balancer) don't care and shouldn't care if the vCPU is preempted or not, they just want to know if there's any tasks on the CPU. Signed-off-by: NRohit Jain <rohit.k.jain@oracle.com> Signed-off-by: NPeter 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: dhaval.giani@oracle.com Cc: linux-kernel@vger.kernel.org Cc: matt@codeblueprint.co.uk Cc: steven.sistare@oracle.com Cc: subhra.mazumdar@oracle.com Link: http://lkml.kernel.org/r/1525883988-10356-1-git-send-email-rohit.k.jain@oracle.comSigned-off-by: NIngo Molnar <mingo@kernel.org>
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由 Mel Gorman 提交于
Threads share an address space and each can change the protections of the same address space to trap NUMA faults. This is redundant and potentially counter-productive as any thread doing the update will suffice. Potentially only one thread is required but that thread may be idle or it may not have any locality concerns and pick an unsuitable scan rate. This patch uses independent scan period but they are staggered based on the number of address space users when the thread is created. The intent is that threads will avoid scanning at the same time and have a chance to adapt their scan rate later if necessary. This reduces the total scan activity early in the lifetime of the threads. The different in headline performance across a range of machines and workloads is marginal but the system CPU usage is reduced as well as overall scan activity. The following is the time reported by NAS Parallel Benchmark using unbound openmp threads and a D size class: 4.17.0-rc1 4.17.0-rc1 vanilla stagger-v1r1 Time bt.D 442.77 ( 0.00%) 419.70 ( 5.21%) Time cg.D 171.90 ( 0.00%) 180.85 ( -5.21%) Time ep.D 33.10 ( 0.00%) 32.90 ( 0.60%) Time is.D 9.59 ( 0.00%) 9.42 ( 1.77%) Time lu.D 306.75 ( 0.00%) 304.65 ( 0.68%) Time mg.D 54.56 ( 0.00%) 52.38 ( 4.00%) Time sp.D 1020.03 ( 0.00%) 903.77 ( 11.40%) Time ua.D 400.58 ( 0.00%) 386.49 ( 3.52%) Note it's not a universal win but we have no prior knowledge of which thread matters but the number of threads created often exceeds the size of the node when the threads are not bound. However, there is a reducation of overall system CPU usage: 4.17.0-rc1 4.17.0-rc1 vanilla stagger-v1r1 sys-time-bt.D 48.78 ( 0.00%) 48.22 ( 1.15%) sys-time-cg.D 25.31 ( 0.00%) 26.63 ( -5.22%) sys-time-ep.D 1.65 ( 0.00%) 0.62 ( 62.42%) sys-time-is.D 40.05 ( 0.00%) 24.45 ( 38.95%) sys-time-lu.D 37.55 ( 0.00%) 29.02 ( 22.72%) sys-time-mg.D 47.52 ( 0.00%) 34.92 ( 26.52%) sys-time-sp.D 119.01 ( 0.00%) 109.05 ( 8.37%) sys-time-ua.D 51.52 ( 0.00%) 45.13 ( 12.40%) NUMA scan activity is also reduced: NUMA alloc local 1042828 1342670 NUMA base PTE updates 140481138 93577468 NUMA huge PMD updates 272171 180766 NUMA page range updates 279832690 186129660 NUMA hint faults 1395972 1193897 NUMA hint local faults 877925 855053 NUMA hint local percent 62 71 NUMA pages migrated 12057909 9158023 Similar observations are made for other thread-intensive workloads. System CPU usage is lower even though the headline gains in performance tend to be small. For example, specjbb 2005 shows almost no difference in performance but scan activity is reduced by a third on a 4-socket box. I didn't find a workload (thread intensive or otherwise) that suffered badly. Signed-off-by: NMel Gorman <mgorman@techsingularity.net> Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Matt Fleming <matt@codeblueprint.co.uk> Cc: Mike Galbraith <efault@gmx.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: linux-kernel@vger.kernel.org Link: http://lkml.kernel.org/r/20180504154109.mvrha2qo5wdl65vr@techsingularity.netSigned-off-by: NIngo Molnar <mingo@kernel.org>
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- 12 5月, 2018 1 次提交
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由 Mel Gorman 提交于
This reverts commit 7347fc87. Srikar Dronamra pointed out that while the commit in question did show a performance improvement on ppc64, it did so at the cost of disabling active CPU migration by automatic NUMA balancing which was not the intent. The issue was that a serious flaw in the logic failed to ever active balance if SD_WAKE_AFFINE was disabled on scheduler domains. Even when it's enabled, the logic is still bizarre and against the original intent. Investigation showed that fixing the patch in either the way he suggested, using the correct comparison for jiffies values or introducing a new numa_migrate_deferred variable in task_struct all perform similarly to a revert with a mix of gains and losses depending on the workload, machine and socket count. The original intent of the commit was to handle a problem whereby wake_affine, idle balancing and automatic NUMA balancing disagree on the appropriate placement for a task. This was particularly true for cases where a single task was a massive waker of tasks but where wake_wide logic did not apply. This was particularly noticeable when a futex (a barrier) woke all worker threads and tried pulling the wakees to the waker nodes. In that specific case, it could be handled by tuning MPI or openMP appropriately, but the behavior is not illogical and was worth attempting to fix. However, the approach was wrong. Given that we're at rc4 and a fix is not obvious, it's better to play safe, revert this commit and retry later. Signed-off-by: NMel Gorman <mgorman@techsingularity.net> Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: NSrikar Dronamraju <srikar@linux.vnet.ibm.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: efault@gmx.de Cc: ggherdovich@suse.cz Cc: hpa@zytor.com Cc: matt@codeblueprint.co.uk Cc: mpe@ellerman.id.au Link: http://lkml.kernel.org/r/20180509163115.6fnnyeg4vdm2ct4v@techsingularity.netSigned-off-by: NIngo Molnar <mingo@kernel.org>
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- 04 5月, 2018 2 次提交
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由 Viresh Kumar 提交于
Call sync_entity_load_avg() directly from find_idlest_cpu() instead of select_task_rq_fair(), as that's where we need to use task's utilization value. And call sync_entity_load_avg() only after making sure sched domain spans over one of the allowed CPUs for the task. Signed-off-by: NViresh Kumar <viresh.kumar@linaro.org> Signed-off-by: NPeter 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: Vincent Guittot <vincent.guittot@linaro.org> Link: http://lkml.kernel.org/r/cd019d1753824c81130eae7b43e2bbcec47cc1ad.1524738578.git.viresh.kumar@linaro.orgSigned-off-by: NIngo Molnar <mingo@kernel.org>
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由 Viresh Kumar 提交于
Rearrange select_task_rq_fair() a bit to avoid executing some conditional statements in few specific code-paths. That gets rid of the goto as well. This shouldn't result in any functional changes. Tested-by: NRohit Jain <rohit.k.jain@oracle.com> Signed-off-by: NViresh Kumar <viresh.kumar@linaro.org> Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: NValentin 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: Vincent Guittot <vincent.guittot@linaro.org> Link: http://lkml.kernel.org/r/20831b8d237bf3a20e4e328286f678b425ff04c9.1524738578.git.viresh.kumar@linaro.orgSigned-off-by: NIngo Molnar <mingo@kernel.org>
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- 03 5月, 2018 1 次提交
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由 Vincent Guittot 提交于
With commit: 31e77c93 ("sched/fair: Update blocked load when newly idle") ... we release the rq->lock when updating blocked load of idle CPUs. This opens a time window during which another CPU can add a task to this CPU's cfs_rq. The check for newly added task of idle_balance() is not in the common path. Move the out label to include this check. Reported-by: NHeiner Kallweit <hkallweit1@gmail.com> Tested-by: NGeert Uytterhoeven <geert+renesas@glider.be> Signed-off-by: NVincent Guittot <vincent.guittot@linaro.org> Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Paul E. McKenney <paulmck@linux.vnet.ibm.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Fixes: 31e77c93 ("sched/fair: Update blocked load when newly idle") Link: http://lkml.kernel.org/r/20180426103133.GA6953@linaro.orgSigned-off-by: NIngo Molnar <mingo@kernel.org>
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- 05 4月, 2018 1 次提交
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由 Davidlohr Bueso 提交于
By renaming the functions we can get rid of the skip parameter and have better code redability. It makes zero sense to have things such as: rq_clock_skip_update(rq, false) When the skip request is in fact not going to happen. Ever. Rename things such that we end up with: rq_clock_skip_update(rq) rq_clock_cancel_skipupdate(rq) Signed-off-by: NDavidlohr Bueso <dbueso@suse.de> Acked-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Mike Galbraith <efault@gmx.de> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: linux-kernel@vger.kernel.org Cc: matt@codeblueprint.co.uk Cc: rostedt@goodmis.org Link: http://lkml.kernel.org/r/20180404161539.nhadkff2aats74jh@linux-n805Signed-off-by: NIngo Molnar <mingo@kernel.org>
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- 20 3月, 2018 3 次提交
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由 Patrick Bellasi 提交于
The estimated utilization of a task is currently updated every time the task is dequeued. However, to keep overheads under control, PELT signals are effectively updated at maximum once every 1ms. Thus, for really short running tasks, it can happen that their util_avg value has not been updates since their last enqueue. If such tasks are also frequently running tasks (e.g. the kind of workload generated by hackbench) it can also happen that their util_avg is updated only every few activations. This means that updating util_est at every dequeue potentially introduces not necessary overheads and it's also conceptually wrong if the util_avg signal has never been updated during a task activation. Let's introduce a throttling mechanism on task's util_est updates to sync them with util_avg updates. To make the solution memory efficient, both in terms of space and load/store operations, we encode a synchronization flag into the LSB of util_est.enqueued. This makes util_est an even values only metric, which is still considered good enough for its purpose. The synchronization bit is (re)set by __update_load_avg_se() once the PELT signal of a task has been updated during its last activation. Such a throttling mechanism allows to keep under control util_est overheads in the wakeup hot path, thus making it a suitable mechanism which can be enabled also on high-intensity workload systems. Thus, this now switches on by default the estimation utilization scheduler feature. Suggested-by: NChris Redpath <chris.redpath@arm.com> Signed-off-by: NPatrick Bellasi <patrick.bellasi@arm.com> Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Cc: Dietmar Eggemann <dietmar.eggemann@arm.com> Cc: Joel Fernandes <joelaf@google.com> Cc: Juri Lelli <juri.lelli@redhat.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Morten Rasmussen <morten.rasmussen@arm.com> Cc: Paul Turner <pjt@google.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Rafael J . Wysocki <rafael.j.wysocki@intel.com> Cc: Steve Muckle <smuckle@google.com> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: Todd Kjos <tkjos@android.com> Cc: Vincent Guittot <vincent.guittot@linaro.org> Cc: Viresh Kumar <viresh.kumar@linaro.org> Link: http://lkml.kernel.org/r/20180309095245.11071-5-patrick.bellasi@arm.comSigned-off-by: NIngo Molnar <mingo@kernel.org>
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由 Patrick Bellasi 提交于
When the scheduler looks at the CPU utilization, the current PELT value for a CPU is returned straight away. In certain scenarios this can have undesired side effects on task placement. For example, since the task utilization is decayed at wakeup time, when a long sleeping big task is enqueued it does not add immediately a significant contribution to the target CPU. As a result we generate a race condition where other tasks can be placed on the same CPU while it is still considered relatively empty. In order to reduce this kind of race conditions, this patch introduces the required support to integrate the usage of the CPU's estimated utilization in the wakeup path, via cpu_util_wake(), as well as in the load-balance path, via cpu_util() which is used by update_sg_lb_stats(). The estimated utilization of a CPU is defined to be the maximum between its PELT's utilization and the sum of the estimated utilization (at previous dequeue time) of all the tasks currently RUNNABLE on that CPU. This allows to properly represent the spare capacity of a CPU which, for example, has just got a big task running since a long sleep period. Signed-off-by: NPatrick Bellasi <patrick.bellasi@arm.com> Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: NDietmar Eggemann <dietmar.eggemann@arm.com> Cc: Joel Fernandes <joelaf@google.com> Cc: Juri Lelli <juri.lelli@redhat.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Morten Rasmussen <morten.rasmussen@arm.com> Cc: Paul Turner <pjt@google.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Rafael J . Wysocki <rafael.j.wysocki@intel.com> Cc: Steve Muckle <smuckle@google.com> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: Todd Kjos <tkjos@android.com> Cc: Vincent Guittot <vincent.guittot@linaro.org> Cc: Viresh Kumar <viresh.kumar@linaro.org> Link: http://lkml.kernel.org/r/20180309095245.11071-3-patrick.bellasi@arm.comSigned-off-by: NIngo Molnar <mingo@kernel.org>
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由 Patrick Bellasi 提交于
The util_avg signal computed by PELT is too variable for some use-cases. For example, a big task waking up after a long sleep period will have its utilization almost completely decayed. This introduces some latency before schedutil will be able to pick the best frequency to run a task. The same issue can affect task placement. Indeed, since the task utilization is already decayed at wakeup, when the task is enqueued in a CPU, this can result in a CPU running a big task as being temporarily represented as being almost empty. This leads to a race condition where other tasks can be potentially allocated on a CPU which just started to run a big task which slept for a relatively long period. Moreover, the PELT utilization of a task can be updated every [ms], thus making it a continuously changing value for certain longer running tasks. This means that the instantaneous PELT utilization of a RUNNING task is not really meaningful to properly support scheduler decisions. For all these reasons, a more stable signal can do a better job of representing the expected/estimated utilization of a task/cfs_rq. Such a signal can be easily created on top of PELT by still using it as an estimator which produces values to be aggregated on meaningful events. This patch adds a simple implementation of util_est, a new signal built on top of PELT's util_avg where: util_est(task) = max(task::util_avg, f(task::util_avg@dequeue)) This allows to remember how big a task has been reported by PELT in its previous activations via f(task::util_avg@dequeue), which is the new _task_util_est(struct task_struct*) function added by this patch. If a task should change its behavior and it runs longer in a new activation, after a certain time its util_est will just track the original PELT signal (i.e. task::util_avg). The estimated utilization of cfs_rq is defined only for root ones. That's because the only sensible consumer of this signal are the scheduler and schedutil when looking for the overall CPU utilization due to FAIR tasks. For this reason, the estimated utilization of a root cfs_rq is simply defined as: util_est(cfs_rq) = max(cfs_rq::util_avg, cfs_rq::util_est::enqueued) where: cfs_rq::util_est::enqueued = sum(_task_util_est(task)) for each RUNNABLE task on that root cfs_rq It's worth noting that the estimated utilization is tracked only for objects of interests, specifically: - Tasks: to better support tasks placement decisions - root cfs_rqs: to better support both tasks placement decisions as well as frequencies selection Signed-off-by: NPatrick Bellasi <patrick.bellasi@arm.com> Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: NDietmar Eggemann <dietmar.eggemann@arm.com> Cc: Joel Fernandes <joelaf@google.com> Cc: Juri Lelli <juri.lelli@redhat.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Morten Rasmussen <morten.rasmussen@arm.com> Cc: Paul Turner <pjt@google.com> Cc: Rafael J . Wysocki <rafael.j.wysocki@intel.com> Cc: Steve Muckle <smuckle@google.com> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: Todd Kjos <tkjos@android.com> Cc: Vincent Guittot <vincent.guittot@linaro.org> Cc: Viresh Kumar <viresh.kumar@linaro.org> Link: http://lkml.kernel.org/r/20180309095245.11071-2-patrick.bellasi@arm.comSigned-off-by: NIngo Molnar <mingo@kernel.org>
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- 09 3月, 2018 2 次提交
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由 Vincent Guittot 提交于
When NEWLY_IDLE load balance is not triggered, we might need to update the blocked load anyway. We can kick an ilb so an idle CPU will take care of updating blocked load or we can try to update them locally before entering idle. In the latter case, we reuse part of the nohz_idle_balance. Signed-off-by: NVincent Guittot <vincent.guittot@linaro.org> Signed-off-by: NPeter 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: brendan.jackman@arm.com Cc: dietmar.eggemann@arm.com Cc: morten.rasmussen@foss.arm.com Cc: valentin.schneider@arm.com Link: http://lkml.kernel.org/r/1518622006-16089-4-git-send-email-vincent.guittot@linaro.orgSigned-off-by: NIngo Molnar <mingo@kernel.org>
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由 Peter Zijlstra 提交于
We're going to want to call nohz_idle_balance() or parts thereof from idle_balance(). Since we already have a forward declaration of idle_balance() move it down such that it's below nohz_idle_balance() avoiding the need for a forward declaration for that. Signed-off-by: NPeter Zijlstra (Intel) <peterz@infradead.org> Cc: Frederic Weisbecker <fweisbec@gmail.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: NIngo Molnar <mingo@kernel.org>
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