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Message-ID: <CAKfTPtBv3TAJvKayn73yenJGmqchObXDWMm2Kxj0ixL8E0GUGA@mail.gmail.com>
Date: Tue, 14 Sep 2021 14:55:12 +0200
From: Vincent Guittot <vincent.guittot@...aro.org>
To: Yicong Yang <yangyicong@...ilicon.com>
Cc: Ingo Molnar <mingo@...hat.com>,
Peter Zijlstra <peterz@...radead.org>,
Juri Lelli <juri.lelli@...hat.com>,
Dietmar Eggemann <dietmar.eggemann@....com>,
Steven Rostedt <rostedt@...dmis.org>,
Ben Segall <bsegall@...gle.com>, Mel Gorman <mgorman@...e.de>,
Daniel Bristot de Oliveira <bristot@...hat.com>,
21cnbao@...il.com,
Linux Kernel Mailing List <linux-kernel@...r.kernel.org>,
"Song Bao Hua (Barry Song)" <song.bao.hua@...ilicon.com>,
prime.zeng@...wei.com,
"guodong.xu@...aro.org" <guodong.xu@...aro.org>
Subject: Re: [RFC] Perfomance varies according to sysctl_sched_migration_cost
On Tue, 14 Sept 2021 at 14:08, Yicong Yang <yangyicong@...ilicon.com> wrote:
>
> Hi Vincent,
>
> thanks for the reply!
>
> On 2021/9/14 17:04, Vincent Guittot wrote:
> > Hi Yicong,
> >
> > On Tue, 14 Sept 2021 at 09:27, Yicong Yang <yangyicong@...ilicon.com> wrote:
> >>
> >> Hi all,
> >>
> >> I noticed that some benchmark performance varies after tunning the sysctl_sched_migration_cost
> >> through /sys/kernel/debug/sched/migration_cost_ns on arm64. The default value is 500000, and
> >> I tried 10000, 100000, 1000000. Below are some results from mmtests, based on 5.14-release.
> >>
> >> On Kunpeng920 (128cores, 4numa, 2socket):
> >>
> >> pgbench (config-db-pgbench-timed-ro-medium)
> >> mig-cost-500000 mig-cost-100000 mig-cost-10000 mig-cost-1000000
> >> Hmean 1 9558.99 ( 0.00%) 9735.31 * 1.84%* 9410.84 * -1.55%* 9602.47 * 0.45%*
> >> Hmean 8 17615.90 ( 0.00%) 17439.78 * -1.00%* 18056.44 * 2.50%* 19222.18 * 9.12%*
> >> Hmean 12 25228.38 ( 0.00%) 25592.69 * 1.44%* 26739.06 * 5.99%* 27575.48 * 9.30%*
> >> Hmean 24 46623.27 ( 0.00%) 48853.30 * 4.78%* 47386.02 * 1.64%* 48542.94 * 4.12%*
> >> Hmean 32 60578.78 ( 0.00%) 62116.81 * 2.54%* 59961.36 * -1.02%* 58681.07 * -3.13%*
> >> Hmean 48 68159.12 ( 0.00%) 67867.90 ( -0.43%) 65631.79 * -3.71%* 66487.16 * -2.45%*
> >> Hmean 80 66894.87 ( 0.00%) 73440.92 * 9.79%* 68751.63 * 2.78%* 67326.70 ( 0.65%)
> >> Hmean 112 68582.27 ( 0.00%) 65339.90 * -4.73%* 68454.99 ( -0.19%) 67211.66 * -2.00%*
> >> Hmean 144 76290.98 ( 0.00%) 70455.65 * -7.65%* 64851.23 * -14.99%* 64940.61 * -14.88%*
> >> Hmean 172 63245.68 ( 0.00%) 68790.24 * 8.77%* 66246.46 * 4.74%* 69536.96 * 9.95%*
> >> Hmean 204 61793.47 ( 0.00%) 63711.62 * 3.10%* 66055.64 * 6.90%* 58023.20 * -6.10%*
> >> Hmean 236 61486.75 ( 0.00%) 68404.44 * 11.25%* 70499.70 * 14.66%* 58285.67 * -5.21%*
> >> Hmean 256 57476.13 ( 0.00%) 65645.83 * 14.21%* 69437.05 * 20.81%* 60518.05 * 5.29%*
> >>
> >> tbench (config-network-tbench)
> >> mig-cost-500000 mig-cost-100000 mig-cost-10000 mig-cost-1000000
> >> Hmean 1 333.12 ( 0.00%) 332.93 ( -0.06%) 335.34 * 0.67%* 334.36 * 0.37%*
> >> Hmean 2 665.88 ( 0.00%) 667.19 * 0.20%* 666.47 * 0.09%* 667.02 * 0.17%*
> >> Hmean 4 1324.10 ( 0.00%) 1312.23 * -0.90%* 1313.07 * -0.83%* 1315.13 * -0.68%*
> >> Hmean 8 2618.85 ( 0.00%) 2602.00 * -0.64%* 2577.49 * -1.58%* 2600.48 * -0.70%*
> >> Hmean 16 5100.74 ( 0.00%) 5068.80 * -0.63%* 5041.34 * -1.16%* 5069.78 * -0.61%*
> >> Hmean 32 8157.22 ( 0.00%) 8163.50 ( 0.08%) 7936.25 * -2.71%* 8329.18 * 2.11%*
> >> Hmean 64 4824.56 ( 0.00%) 4890.81 * 1.37%* 5319.97 * 10.27%* 4830.68 * 0.13%*
> >> Hmean 128 4635.17 ( 0.00%) 6810.90 * 46.94%* 5304.36 * 14.44%* 4516.06 * -2.57%*
> >> Hmean 256 8816.62 ( 0.00%) 8851.28 * 0.39%* 8448.76 * -4.17%* 6840.12 * -22.42%*
> >> Hmean 512 7825.56 ( 0.00%) 8538.04 * 9.10%* 8002.77 * 2.26%* 7946.54 * 1.55%*
> >>
> >> Also on Raspberrypi 4B:
> >>
> >> pgbench (config-db-pgbench-timed-ro-medium)
> >> mig-cost-500000 mig-cost-100000
> >> Hmean 1 1651.41 ( 0.00%) 3444.27 * 108.56%*
> >> Hmean 4 4015.83 ( 0.00%) 6883.21 * 71.40%*
> >> Hmean 7 4161.45 ( 0.00%) 6646.18 * 59.71%*
> >> Hmean 8 4277.28 ( 0.00%) 6764.60 * 58.15%*
> >>
> >> For tbench on Raspberrypi 4B and both pgbench and tbench on x86, tuning sysctl_sched_migration_cost
> >> doesn't have such huge difference and will have some degradations (max -8% on x86 for pgbench) in some cases.
> >>
> >> The sysctl_sched_migration_cost will affects the frequency of load balance. It will affect
> >
> > So it doesn't affect the periodic load but only the newly idle load balance
> >
>
> In load_balance(), it's used to judge whether a task is hot in task_hot(). so I think it
> participates in the periodic load balance.
Not really. The periodic load balance always happens but task_hot is
used to skip task that have recently run on the cpu and select older
tasks instead
At the contrary, sysctl_sched_migration_cost is used to decide if we
should abort newly_idle_load_balance
As a side point, would be good to know if the improvement and
regression seen in your tests are more linked to the task hotness or
for skipping/aborting newly idle load balance
>
> >> directly in task_hot() and newidle_balance() to decide whether we can do a migration or load
> >> balance. And affects other parameters like rq->avg_idle, rq->max_idle_balance_cost and
> >> sd->max_newidle_lb_cost to indirectly affect the load balance process. These parameters record
> >> the load_balance() cost and will be limited up to sysctl_sched_migration_cost, so I measure
> >> the average cost of load_balance() on Kunpeng920 with bcc tools(./funclantency load_balance -d 10):
> >>
> >> system status idle 50%load 100%load
> >> avg cost 3160ns 4790ns 7563ns
> >
> > What is the setup of your test ? has this been measured during the
> > benchmarks above ?
> >
>
> I use stress-ng to generate the load. Since it's a 128core server, `stress-ng -c 64` for
> 50% load, and `stress-ng -c 128` for 100% load. This is not measured during the benchmarks'
> process.
I don't think this is the best benchmark to evaluate the real cost of
load_balance because it create always running task and you measure
only the periodic load balance and not the newly load balance which is
the one really impacted by sysctl_sched_migration_cost
>
> > Also, do you have more details about the topology and the number of
> > sched domain ?
> >
>
> sure. for `numactl -H`:
>
> available: 4 nodes (0-3)
> node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
> node 0 size: 257149 MB
> node 0 free: 253518 MB
> node 1 cpus: 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63
> node 1 size: 193531 MB
> node 1 free: 192916 MB
> node 2 cpus: 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95
> node 2 size: 96763 MB
> node 2 free: 92654 MB
> node 3 cpus: 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127
> node 3 size: 127668 MB
> node 3 free: 125846 MB
> node distances:
> node 0 1 2 3
> 0: 10 12 20 22
> 1: 12 10 22 24
> 2: 20 22 10 12
> 3: 22 24 12 10
>
> Kunpeng 920 is non-smt. There're 4 level domains and below is part of the /proc/schedstat:
> [...]
> cpu0
> domain0 00000000,00000000,00000000,ffffffff
> domain1 00000000,00000000,ffffffff,ffffffff
> domain2 00000000,ffffffff,ffffffff,ffffffff
> domain3 ffffffff,ffffffff,ffffffff,ffffffff
Because of the large difference between the number of cpus at 1st and
last level, an average duration of load_balance() is not really
meaningful and we can expect a factor of 4 between smallest and larger
one
> [...]
> cpu32
> domain0 00000000,00000000,ffffffff,00000000
> domain1 00000000,00000000,ffffffff,ffffffff
> domain2 00000000,ffffffff,ffffffff,ffffffff
> domain3 ffffffff,ffffffff,ffffffff,ffffffff
> [...]
> cpu64
> domain0 00000000,ffffffff,00000000,00000000
> domain1 ffffffff,ffffffff,00000000,00000000
> domain2 ffffffff,ffffffff,00000000,ffffffff
> domain3 ffffffff,ffffffff,ffffffff,ffffffff
> [...]
> cpu96
> domain0 ffffffff,00000000,00000000,00000000
> domain1 ffffffff,ffffffff,00000000,00000000
> domain2 ffffffff,ffffffff,00000000,ffffffff
> domain3 ffffffff,ffffffff,ffffffff,ffffffff
> [...]
>
> > Are you using cgroup hierarchy ?
> >
>
> No cgroup hierarchy during the test.
This can slow down a bit the load_balance so might be good to take
that into account
>
> >>
> >> The average cost of load balance seems quite smaller than the default sysctl_sched_migration_cost
> >> which is 500000(500ms).
> >
> > AFAICT, it is 500us not 500ms
> >
>
> yes it's 500us. sorry for the wrong unit.
>
> >>
> >> So I have some RFC questions:
> >> 1. how is the default 500000 (500ms) migration cost is measured or caculated?
> >
> > 500us not ms
> >
> > I would say that it's a heuristic value that works for most of system
> > but it should probably be tuned per platform. But also note that it's
> > quite difficult to get a correct value
> >
>
> thanks for the explanation. I agree that it should be tuned per platform, and maybe also
> per workload. Current default value seems to have be well tuned on x86 but not on the some
> arm64 platforms.
Adjusting the value based on the platform seems reasonable although
i'm not sure which input should be used (arch type / interconnect
bandwidth / cache size / number of cpu per cache level ...)
>
> Thanks.
>
> >> The value has never changed in the past decade. I dig into the git commits and find it was introduced
> >> in da84d9617672 ("sched: reintroduce cache-hot affinity"). But it didn't explain how did this value come.
> >> 2. The ABI now has been removed from sysctl and moved to debugfs. As tuning this can improve the performance
> >> of some workloads on some platforms, maybe it's better to make it a formal sysctl again with docs?
> >>
> >> I'll be appreciated for any comments and replies!
> >>
> >> Thanks,
> >> Yicong
> >>
> >>
> >
> > .
> >
>
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