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Date: Wed, 19 May 2021 10:36:44 +0100
From: Mel Gorman <mgorman@...hsingularity.net>
To: Srikar Dronamraju <srikar@...ux.vnet.ibm.com>
Cc: Ingo Molnar <mingo@...nel.org>,
Peter Zijlstra <peterz@...radead.org>,
LKML <linux-kernel@...r.kernel.org>,
Rik van Riel <riel@...riel.com>,
Thomas Gleixner <tglx@...utronix.de>,
Valentin Schneider <valentin.schneider@....com>,
Vincent Guittot <vincent.guittot@...aro.org>,
Dietmar Eggemann <dietmar.eggemann@....com>,
Michael Ellerman <mpe@...erman.id.au>,
Gautham R Shenoy <ego@...ux.vnet.ibm.com>,
Parth Shah <parth@...ux.ibm.com>,
Aubrey Li <aubrey.li@...ux.intel.com>
Subject: Re: [PATCH v3 0/8] sched/fair: wake_affine improvements
On Thu, May 13, 2021 at 01:10:19PM +0530, Srikar Dronamraju wrote:
> Recently we found that some of the benchmark numbers on Power10 were lesser
> than expected. Some analysis showed that the problem lies in the fact that
> L2-Cache on Power10 is at core level i.e only 4 threads share the L2-cache.
>
> One probable solution to the problem was worked by Gautham where he posted
> http://lore.kernel.org/lkml/1617341874-1205-1-git-send-email-ego@linux.vnet.ibm.com/t/#u
> a patch that marks MC domain as LLC.
>
> Here the focus is on improving the current core scheduler's wakeup
> mechanism by looking at idle-cores and nr_busy_cpus that is already
> maintained per Last level cache(aka LLC)
>
> Hence this approach can work well with the mc-llc too. It can help
> other architectures too.
>
It took a while for the test grid to process this series but I finally
got results of this on different machines, including Zen1-3 that has
many LLCs per NUMA node and it's a mixed bag. While there are some
substantial gains depending on workload and machine, there are also some
substantial losses. The most consistent in terms of showing losses was
tbench4 but in general, the mix of major gains and losses may lead to a
game of whack-a-mole regression hinting where fixes for one workload and
machine introduce regressions in another setup.
The mix of gains/losses across multiple machines makes it difficult to
reach a solid ack/nak conclusion. My biggest concern is that machines with
multiple LLCs-per-node were most likely to show major gains or major losses
depending on the workload and the treatment of LLCs is a big aspect of
what the series does. I have not read the series in detail but the idler
LLC selection appears to ignore NUMA locality and that might be part of
the problem.
Relative to your own results
Hackbench: I didn't see the same gains but that is likely related to
architecture and the topology.
DayTrader: I think this is an IBM benchmark that I'm guessing has a
complex software stack required to reproduce it so I cannot
comment.
Schbench: What parameters did you use? For me, I saw some big losses on
the 99%+ percentiles but I could be using different parameters
to you
Mongodb: I do not have an equivalent workload. What load generator did
you use and what parameters?
More details below
NAS Parallal Benchmark was mostly ok. Zen2 for NAS-OMP-SP showed a 20%
regression and higher system CPU usage but it was an outlier.
While there were some other negative results, they were relatively
short-lived in terms of absolute time.
DBench on XFS -- mostly ok. Intel machines were neutral. Zen2 showed
0-8% regressions depending on client count but Zen3 showed major
gains 0-39%
SpecJBB 2005 (1 VM per NUMA node) showed variable results across both
Intel and AMD based machines.
2-socket Broadwell: -10% loss to 16% gain but the gain was
an outlier, it was mostly losses
2-socket Haswell: -11% loss to 2% gain, mostly losses
2-socket Zen1: -5% loss to 20% gain, low thread loss, high thread gain
2-socket Zen2: -25% loss to 44% gain, mostly losses
2-socket Zen3: -4% loss to 42% gain, mostly gains
Perf bench pipe showed mostly small losses and higher system CPU usage.
Worst case was an 8% loss, but mostly it was in the 0-2% range
Git checkout (shellscript intensive) was mostly neutral on Intel but
gained heavily on Zen*
Zen1: +5.48% gain
Zen2: +5.42% gain
Zen3: +17% gain
Kernel compilation: Mix of gains and losses, mostly neural with one
exception
Schbench (Facebook-based benchmark sensitive to wakeup latency) fine on
most machines but some major regressing outliers on zen3
Hackbench-process-pipes: Mostly neutral, Zen 1 showed gains, Zen 3
showed losses
Hackbench-process-sockets: Mostly neural but for Zen, Zen1 showed
losses, Zen 3 showed gains (the opposite of pipes)
Hackbench-process-pipes: Bit mixed but mostly either netural or gains
Hackbench-socket-pipes: Bit mixed but Zen1 showed mostly losses
Netperf-TCP_STREAM: Mostly slight mix except for Zen3 with 15-26% losses
Zen 3 netperf-tcp
5.13.0-rc1 5.13.0-rc1
vanilla sched-wakeidler-v3r1
Hmean 64 2278.21 ( 0.00%) 1670.67 * -26.67%*
Hmean 128 4299.84 ( 0.00%) 3199.04 * -25.60%*
Hmean 256 8176.62 ( 0.00%) 5800.95 * -29.05%*
Hmean 1024 27050.12 ( 0.00%) 20743.79 * -23.31%*
Hmean 2048 42558.18 ( 0.00%) 33819.75 * -20.53%*
Hmean 3312 50576.24 ( 0.00%) 39549.06 * -21.80%*
Hmean 4096 57782.00 ( 0.00%) 49030.97 * -15.14%*
Hmean 8192 72400.49 ( 0.00%) 53489.29 * -26.12%*
Hmean 16384 80997.97 ( 0.00%) 63521.05 * -21.58%*
Netperf-UDP_STREAM: Mostly neutral but some machines show 0-13% losses
Tbench4: Mostly leaned towards being a loss
Single-socket Skylake
5.13.0-rc1 5.13.0-rc1
vanilla sched-wakeidler-v3r1
Hmean 1 591.86 ( 0.00%) 585.56 * -1.07%*
Hmean 2 1050.84 ( 0.00%) 1069.35 * 1.76%*
Hmean 4 1546.96 ( 0.00%) 1501.62 * -2.93%*
Hmean 8 2740.19 ( 0.00%) 2675.56 * -2.36%*
Hmean 16 2450.22 ( 0.00%) 2413.80 * -1.49%*
Hmean 32 2426.44 ( 0.00%) 2361.36 * -2.68%*
Small losses, higher system CPU usage (not shown)
2-socket Cascadelake
5.13.0-rc1 5.13.0-rc1
vanilla sched-wakeidler-v3r1
Hmean 1 544.22 ( 0.00%) 548.16 * 0.72%*
Hmean 2 1058.67 ( 0.00%) 1044.67 * -1.32%*
Hmean 4 2049.38 ( 0.00%) 2017.99 * -1.53%*
Hmean 8 4071.51 ( 0.00%) 3893.55 * -4.37%*
Hmean 16 6575.50 ( 0.00%) 6576.01 ( 0.01%)
Hmean 32 10185.98 ( 0.00%) 10303.26 * 1.15%*
Hmean 64 12145.38 ( 0.00%) 11616.73 * -4.35%*
Hmean 128 22335.44 ( 0.00%) 21765.91 * -2.55%*
Hmean 256 20274.37 ( 0.00%) 21505.92 * 6.07%*
Hmean 320 20709.22 ( 0.00%) 20733.21 * 0.12%*
Mix of gains and losses, higher system CPU usage
2-socket Broadwell
5.13.0-rc1 5.13.0-rc1
vanilla sched-wakeidler-v3r1
Hmean 1 438.53 ( 0.00%) 447.02 * 1.94%*
Hmean 2 835.80 ( 0.00%) 786.98 * -5.84%*
Hmean 4 1527.05 ( 0.00%) 1436.70 * -5.92%*
Hmean 8 2952.17 ( 0.00%) 2806.30 * -4.94%*
Hmean 16 5237.13 ( 0.00%) 5191.26 * -0.88%*
Hmean 32 9222.13 ( 0.00%) 9004.89 * -2.36%*
Hmean 64 10805.29 ( 0.00%) 10342.93 * -4.28%*
Hmean 128 18469.14 ( 0.00%) 17522.78 * -5.12%*
Hmean 256 16641.85 ( 0.00%) 16278.08 * -2.19%*
Hmean 320 16623.42 ( 0.00%) 16521.47 * -0.61%*
Mostly small losses, slight increase CPU usage
2-soocket Zen1
tbench4
5.13.0-rc1 5.13.0-rc1
vanilla sched-wakeidler-v3r1
Hmean 1 220.27 ( 0.00%) 218.67 * -0.73%*
Hmean 2 455.18 ( 0.00%) 430.82 * -5.35%*
Hmean 4 845.38 ( 0.00%) 887.05 * 4.93%*
Hmean 8 1645.02 ( 0.00%) 1563.07 * -4.98%*
Hmean 16 3109.18 ( 0.00%) 3074.53 * -1.11%*
Hmean 32 4854.40 ( 0.00%) 5167.61 * 6.45%*
Hmean 64 10793.06 ( 0.00%) 7767.98 * -28.03%*
Hmean 128 12398.50 ( 0.00%) 15067.49 * 21.53%*
Hmean 256 16756.69 ( 0.00%) 11214.53 * -33.07%*
Hmean 512 10186.47 ( 0.00%) 15159.09 * 48.82%*
Two substantial losses, one substantial gain
2-socket Zen2
tbench4
5.13.0-rc1 5.13.0-rc1
vanilla sched-wakeidler-v3r1
Hmean 1 341.84 ( 0.00%) 337.45 * -1.28%*
Hmean 2 675.90 ( 0.00%) 659.10 * -2.49%*
Hmean 4 1312.66 ( 0.00%) 1250.00 * -4.77%*
Hmean 8 2495.62 ( 0.00%) 2386.57 * -4.37%*
Hmean 16 4237.23 ( 0.00%) 4835.29 * 14.11%*
Hmean 32 8505.60 ( 0.00%) 8428.12 * -0.91%*
Hmean 64 22452.58 ( 0.00%) 20637.45 * -8.08%*
Hmean 128 32493.62 ( 0.00%) 27491.73 * -15.39%*
Hmean 256 40975.73 ( 0.00%) 29466.08 * -28.09%*
Hmean 512 39320.56 ( 0.00%) 34480.84 * -12.31%*
Some major losses, one major gain
2-socket Zen3
tbench4
5.13.0-rc1 5.13.0-rc1
vanilla sched-wakeidler-v3r1
Hmean 1 764.71 ( 0.00%) 771.17 * 0.85%*
Hmean 2 1536.93 ( 0.00%) 1504.18 * -2.13%*
Hmean 4 2836.19 ( 0.00%) 2805.02 * -1.10%*
Hmean 8 4726.61 ( 0.00%) 4762.61 * 0.76%*
Hmean 16 8341.73 ( 0.00%) 8183.48 * -1.90%*
Hmean 32 14446.04 ( 0.00%) 13628.25 * -5.66%*
Hmean 64 21852.72 ( 0.00%) 24039.33 * 10.01%*
Hmean 128 27674.40 ( 0.00%) 29107.56 * 5.18%*
Hmean 256 42985.16 ( 0.00%) 36482.84 * -15.13%*
Hmean 512 50210.59 ( 0.00%) 40899.44 * -18.54%*
Hmean 1024 63696.89 ( 0.00%) 46715.28 * -26.66%*
Some major losses, one big gain
--
Mel Gorman
SUSE Labs
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