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Message-Id: <20200217104402.11643-1-mgorman@techsingularity.net>
Date: Mon, 17 Feb 2020 10:43:49 +0000
From: Mel Gorman <mgorman@...hsingularity.net>
To: Peter Zijlstra <peterz@...radead.org>
Cc: Ingo Molnar <mingo@...nel.org>,
Vincent Guittot <vincent.guittot@...aro.org>,
Juri Lelli <juri.lelli@...hat.com>,
Dietmar Eggemann <dietmar.eggemann@....com>,
Steven Rostedt <rostedt@...dmis.org>,
Ben Segall <bsegall@...gle.com>,
Valentin Schneider <valentin.schneider@....com>,
Phil Auld <pauld@...hat.com>, Hillf Danton <hdanton@...a.com>,
LKML <linux-kernel@...r.kernel.org>,
Mel Gorman <mgorman@...hsingularity.net>
Subject: [PATCH 00/13] Reconcile NUMA balancing decisions with the load balancer v3
Changelog since V2:
o Rebase on top of Vincent's series again
o Fix a missed rcu_read_unlock
o Reduce overhead of tracepoint
Changelog since V1:
o Rebase on top of Vincent's series and rework
Note: The baseline for this series is tip/sched/core as of February
12th rebased on top of v5.6-rc1. The series includes patches from
Vincent as I needed to add a fix and build on top of it. Vincent's
series on its own introduces performance regressions for *some*
but not *all* machines so it's easily missed. This series overall
is close to performance-neutral with some gains depending on the
machine. However, the end result does less work on NUMA balancing
and the fact that both the NUMA balancer and load balancer uses
similar logic makes it much easier to understand.
The NUMA balancer makes placement decisions on tasks that partially
take the load balancer into account and vice versa but there are
inconsistencies. This can result in placement decisions that override
each other leading to unnecessary migrations -- both task placement
and page placement. This series reconciles many of the decisions --
partially Vincent's work with some fixes and optimisations on top to
merge our two series.
The first patch is unrelated. It's picked up by tip but was not present in
the tree at the time of the fork. I'm including it here because I tested
with it.
The second and third patches are tracing only and was needed to get
sensible data out of ftrace with respect to task placement for NUMA
balancing. The NUMA balancer is *far* easier to analyse with the
patches and informed how the series should be developed.
Patches 4-5 are Vincent's and use very similar code patterns and logic
between NUMA and load balancer. Patch 6 is a fix to Vincent's work that
is necessary to avoid serious imbalances being introduced by the NUMA
balancer. Patches 7-8 are also Vincents and while I have not reviewed
them closely myself, others have.
The rest of the series are a mix of optimisations and improvements, one
of which stops the NUMA balancer fighting with itself.
Note that this is not necessarily a universal performance win although
performance results are generally ok (small gains/losses depending on
the machine and workload). However, task migrations, page migrations,
variability and overall overhead are generally reduced.
The main reference workload I used was specjbb running one JVM per node
which typically would be expected to split evenly. It's an interesting
workload because the number of "warehouses" does not linearly related
to the number of running tasks due to the creation of GC threads
and other interfering activity. The mmtests configuration used is
jvm-specjbb2005-multi with two runs -- one with ftrace enabling relevant
scheduler tracepoints.
An example of the headline performance of the series is below and the
tested kernels are
baseline-v3r1 Patches 1-3 for the tracing
loadavg-v3 Patches 1-5 (Add half of Vincent's work)
lbidle-v3 Patches 1-6 Vincent's work with a fix on top
classify-v3 Patches 1-8 Rest of Vincent's work
stopsearch-v3 All patches
5.6.0-rc1 5.6.0-rc1 5.6.0-rc1 5.6.0-rc1 5.6.0-rc1
baseline-v3 loadavg-v3 lbidle-v3 classify-v3 stopsearch-v3
Hmean tput-1 43593.49 ( 0.00%) 41616.85 ( -4.53%) 43657.25 ( 0.15%) 39561.90 ( -9.25%) 40679.44 ( -6.68%)
Hmean tput-2 95692.84 ( 0.00%) 93196.89 * -2.61%* 92287.78 * -3.56%* 92397.06 * -3.44%* 91859.96 * -4.01%*
Hmean tput-3 143813.12 ( 0.00%) 134447.05 * -6.51%* 134587.84 * -6.41%* 135065.99 * -6.08%* 141594.37 ( -1.54%)
Hmean tput-4 190702.67 ( 0.00%) 176533.79 * -7.43%* 182278.42 * -4.42%* 179781.81 * -5.73%* 184793.77 ( -3.10%)
Hmean tput-5 230242.39 ( 0.00%) 209059.51 * -9.20%* 223219.06 ( -3.05%) 230657.92 ( 0.18%) 226089.04 ( -1.80%)
Hmean tput-6 274868.74 ( 0.00%) 246470.42 * -10.33%* 258387.09 * -6.00%* 267485.04 ( -2.69%) 267398.42 ( -2.72%)
Hmean tput-7 312281.15 ( 0.00%) 284564.06 * -8.88%* 296446.00 * -5.07%* 307146.06 ( -1.64%) 312560.33 ( 0.09%)
Hmean tput-8 347261.31 ( 0.00%) 332019.39 * -4.39%* 331202.25 * -4.62%* 348982.83 ( 0.50%) 349845.30 ( 0.74%)
Hmean tput-9 387336.25 ( 0.00%) 352219.62 * -9.07%* 370222.03 * -4.42%* 382396.19 ( -1.28%) 386008.59 ( -0.34%)
Hmean tput-10 421586.76 ( 0.00%) 397304.22 ( -5.76%) 405458.01 ( -3.83%) 416648.56 ( -1.17%) 418815.01 ( -0.66%)
Hmean tput-11 459422.43 ( 0.00%) 398023.51 * -13.36%* 441999.08 ( -3.79%) 455622.30 ( -0.83%) 459352.08 ( -0.02%)
Hmean tput-12 499087.97 ( 0.00%) 400914.35 * -19.67%* 475755.59 ( -4.68%) 494775.29 ( -0.86%) 500317.17 ( 0.25%)
Hmean tput-13 536335.59 ( 0.00%) 406101.41 * -24.28%* 514858.97 ( -4.00%) 531193.69 ( -0.96%) 536582.65 ( 0.05%)
Hmean tput-14 571542.75 ( 0.00%) 478797.13 * -16.23%* 551716.00 ( -3.47%) 561171.46 ( -1.81%) 571747.22 ( 0.04%)
Hmean tput-15 601412.81 ( 0.00%) 534776.98 * -11.08%* 580105.28 ( -3.54%) 597323.85 ( -0.68%) 602658.29 ( 0.21%)
Hmean tput-16 629817.55 ( 0.00%) 407294.29 * -35.33%* 615606.40 ( -2.26%) 631100.16 ( 0.20%) 638695.93 ( 1.41%)
Hmean tput-17 667025.18 ( 0.00%) 457416.34 * -31.42%* 626074.81 ( -6.14%) 666768.69 ( -0.04%) 667856.84 ( 0.12%)
Hmean tput-18 688148.21 ( 0.00%) 518534.45 * -24.65%* 663161.87 ( -3.63%) 693291.79 ( 0.75%) 692129.06 ( 0.58%)
Hmean tput-19 705092.87 ( 0.00%) 466530.37 * -33.83%* 689430.29 ( -2.22%) 713941.24 ( 1.25%) 718319.27 ( 1.88%)
Hmean tput-20 711481.44 ( 0.00%) 564355.80 * -20.68%* 692170.67 ( -2.71%) 717053.77 ( 0.78%) 733174.09 ( 3.05%)
Hmean tput-21 739790.92 ( 0.00%) 508542.10 * -31.26%* 712348.91 ( -3.71%) 734721.48 ( -0.69%) 738154.55 ( -0.22%)
Hmean tput-22 730593.57 ( 0.00%) 540881.37 ( -25.97%) 709794.02 ( -2.85%) 736392.94 ( 0.79%) 733868.57 ( 0.45%)
Hmean tput-23 738401.59 ( 0.00%) 561474.46 * -23.96%* 702869.93 ( -4.81%) 735338.00 ( -0.41%) 733430.70 ( -0.67%)
Hmean tput-24 731301.95 ( 0.00%) 582929.73 * -20.29%* 704337.59 ( -3.69%) 729185.19 ( -0.29%) 730489.47 ( -0.11%)
Hmean tput-25 734414.40 ( 0.00%) 591635.13 ( -19.44%) 702334.30 ( -4.37%) 727841.70 ( -0.89%) 727389.63 ( -0.96%)
Hmean tput-26 724774.17 ( 0.00%) 701310.59 ( -3.24%) 700771.85 ( -3.31%) 721748.54 ( -0.42%) 726922.52 ( 0.30%)
Hmean tput-27 713484.55 ( 0.00%) 632795.43 ( -11.31%) 692213.36 ( -2.98%) 717102.74 ( 0.51%) 714976.28 ( 0.21%)
Hmean tput-28 723111.86 ( 0.00%) 697438.61 ( -3.55%) 695934.68 ( -3.76%) 720487.63 ( -0.36%) 719010.23 ( -0.57%)
Hmean tput-29 714690.69 ( 0.00%) 675820.16 ( -5.44%) 689400.90 ( -3.54%) 713409.38 ( -0.18%) 711749.01 ( -0.41%)
Hmean tput-30 711106.03 ( 0.00%) 699748.68 ( -1.60%) 688439.96 ( -3.19%) 706413.59 ( -0.66%) 709689.78 ( -0.20%)
Hmean tput-31 701632.39 ( 0.00%) 698807.56 ( -0.40%) 682588.20 ( -2.71%) 705016.96 ( 0.48%) 703612.23 ( 0.28%)
Hmean tput-32 703479.77 ( 0.00%) 679020.34 ( -3.48%) 674057.11 * -4.18%* 697749.62 ( -0.81%) 698918.81 ( -0.65%)
Hmean tput-33 691594.71 ( 0.00%) 686583.04 ( -0.72%) 673382.64 ( -2.63%) 692101.99 ( 0.07%) 696564.27 ( 0.72%)
Hmean tput-34 693435.51 ( 0.00%) 685137.16 ( -1.20%) 674883.97 ( -2.68%) 687092.67 ( -0.91%) 693019.73 ( -0.06%)
Hmean tput-35 688036.06 ( 0.00%) 682612.92 ( -0.79%) 668159.93 ( -2.89%) 688696.81 ( 0.10%) 687197.37 ( -0.12%)
Hmean tput-36 678957.95 ( 0.00%) 670160.33 ( -1.30%) 662395.36 ( -2.44%) 679587.10 ( 0.09%) 681724.93 ( 0.41%)
Hmean tput-37 679748.70 ( 0.00%) 675428.41 ( -0.64%) 666970.33 ( -1.88%) 675859.65 ( -0.57%) 682758.13 ( 0.44%)
Hmean tput-38 669969.62 ( 0.00%) 670976.06 ( 0.15%) 660499.74 ( -1.41%) 674470.89 ( 0.67%) 669926.67 ( -0.01%)
Hmean tput-39 669291.41 ( 0.00%) 665367.66 ( -0.59%) 649337.71 ( -2.98%) 666418.15 ( -0.43%) 674658.14 ( 0.80%)
Hmean tput-40 668074.80 ( 0.00%) 672478.06 ( 0.66%) 661273.87 ( -1.02%) 666050.80 ( -0.30%) 673704.78 ( 0.84%)
Note the regression with the first two patches of Vincent's work
(loadavg-v3) followed by lbidle-v3 which mostly restores the performance
and the final version keeping things close to performance neutral. This
is not universal as a different 2-socket machine with fewer cores and
older CPUs showed no difference. EPYC 1 and EPYC 2 were both affected by
the regression as well as a 4-socket Intel box but again, the full series
is mostly performance neutral for specjbb but with less NUMA balancing work.
While not presented here, the full series also shows that the throughput
measured by each JVM is less variable.
The high-level NUMA stats from /proc/vmstat look like this
5.6.0-rc1 5.6.0-rc1 5.6.0-rc1 5.6.0-rc1 5.6.0-rc1
baseline-v3 loadavg-v3 lbidle-v3 classify-v3 stopsearch-v3
Ops NUMA alloc hit 878062.00 882981.00 957762.00 958488.00 944805.00
Ops NUMA alloc miss 0.00 0.00 0.00 0.00 0.00
Ops NUMA interleave hit 225582.00 237785.00 242554.00 239144.00 237492.00
Ops NUMA alloc local 764932.00 763850.00 835939.00 838375.00 825587.00
Ops NUMA base-page range updates 2517600.00 3707398.00 2889034.00 3341441.00 2700509.00
Ops NUMA PTE updates 1754720.00 1672198.00 1569610.00 1339009.00 1494237.00
Ops NUMA PMD updates 1490.00 3975.00 2577.00 3911.00 2356.00
Ops NUMA hint faults 1678620.00 1586860.00 1475303.00 1276126.00 1410729.00
Ops NUMA hint local faults % 1461203.00 1389234.00 1181790.00 1099034.00 1283100.00
Ops NUMA hint local percent 87.05 87.55 80.10 86.12 90.95
Ops NUMA pages migrated 69473.00 62504.00 121893.00 118715.00 36968.00
Overall, the local hints percentage is slightly better but crucially,
it's done with much less page migrations.
A separate run gathered information from ftrace and analysed it
offline. This is based on v2 of the series but the only real difference
is a functional fix that happened to not be triggered for this particular
workload.
5.6.0-rc1 5.6.0-rc1
baseline-v2 stopsearch-v2
Ops Migrate failed no CPU 1871.00 689.00
Ops Migrate failed move to idle 0.00 0.00
Ops Migrate failed swap task fail 872.00 568.00
Ops Task Migrated swapped 6702.00 3344.00
Ops Task Migrated swapped local NID 0.00 0.00
Ops Task Migrated swapped within group 1094.00 124.00
Ops Task Migrated idle CPU 14409.00 14610.00
Ops Task Migrated idle CPU local NID 0.00 0.00
Ops Task Migrate retry 2355.00 1074.00
Ops Task Migrate retry success 0.00 0.00
Ops Task Migrate retry failed 2355.00 1074.00
Ops Load Balance cross NUMA 1248401.00 1261853.00
"Migrate failed no CPU" is the times when NUMA balancing did not
find a suitable page on a preferred node. This is increased because
the series avoids making decisions that the LB would override.
"Migrate failed swap task fail" is when migrate_swap fails and it
can fail for a lot of reasons.
"Task Migrated swapped" is lower which would would be a concern but in
this test, locality was higher unlike the test with tracing disabled.
This event triggers when two tasks are swapped to keep load neutral or
improved from the perspective of the load balancer. The series attempts
to swap tasks that both move to their preferred node.
"Task Migrated idle CPU" is similar and while the the series does try to
avoid NUMA Balancer and LB fighting each other, it also continues to
obey overall CPU load balancer.
"Task Migrate retry failed" happens when NUMA balancing makes multiple
attempts to place a task on a preferred node. It is slightly reduced here
but it would generally be expected to happen to maintain CPU load balance.
A variety of other workloads were evaluated and appear to be mostly
neutral or improved. netperf running on localhost shows gains between 1-8%
depending on the machine. hackbench is a mixed bag -- small regressions
on one machine around 1-2% depending on the group count but up to 15%
gain on another machine. dbench looks generally ok, very small performance
gains. pgbench looks ok, small gains and losses, much of which is within
the noise. schbench (Facebook workload that is sensitive to wakeup
latencies) is mostly good. The autonuma benchmark also generally looks
good, most differences are within the noise but with higher locality
success rates and fewer page migrations. Other long lived workloads are
still running but I'm not expecting many surprises.
include/linux/sched.h | 33 +--
include/trace/events/sched.h | 49 ++--
kernel/sched/core.c | 13 -
kernel/sched/debug.c | 17 +-
kernel/sched/fair.c | 600 ++++++++++++++++++++++++++++---------------
kernel/sched/pelt.c | 45 ++--
kernel/sched/sched.h | 42 ++-
7 files changed, 505 insertions(+), 294 deletions(-)
--
2.16.4
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