From: "Gautham R. Shenoy" <gautham.shenoy@amd.com>
To: Aaron Lu <aaron.lu@intel.com>
Cc: Peter Zijlstra <peterz@infradead.org>,
Vincent Guittot <vincent.guittot@linaro.org>,
Ingo Molnar <mingo@redhat.com>,
Juri Lelli <juri.lelli@redhat.com>,
Daniel Jordan <daniel.m.jordan@oracle.com>,
Dietmar Eggemann <dietmar.eggemann@arm.com>,
Steven Rostedt <rostedt@goodmis.org>,
Ben Segall <bsegall@google.com>, Mel Gorman <mgorman@suse.de>,
Daniel Bristot de Oliveira <bristot@redhat.com>,
Valentin Schneider <vschneid@redhat.com>,
Tim Chen <tim.c.chen@intel.com>,
Nitin Tekchandani <nitin.tekchandani@intel.com>,
Yu Chen <yu.c.chen@intel.com>, Waiman Long <longman@redhat.com>,
Deng Pan <pan.deng@intel.com>,
Mathieu Desnoyers <mathieu.desnoyers@efficios.com>,
linux-kernel@vger.kernel.org, David Vernet <void@manifault.com>
Subject: Re: [RFC PATCH 1/1] sched/fair: ratelimit update to tg->load_avg
Date: Wed, 16 Aug 2023 10:12:52 +0530 [thread overview]
Message-ID: <ZNxTzGQifArbj4UJ@BLR-5CG11610CF.amd.com> (raw)
In-Reply-To: <20230816024831.682107-2-aaron.lu@intel.com>
Hello Aaron,
(Adding David Vernet)
On Wed, Aug 16, 2023 at 10:48:31AM +0800, Aaron Lu wrote:
> When using sysbench to benchmark Postgres in a single docker instance
> with sysbench's nr_threads set to nr_cpu, it is observed there are times
> update_cfs_group() and update_load_avg() shows noticeable overhead on
> a 2sockets/112core/224cpu Intel Sapphire Rapids(SPR):
>
> 13.75% 13.74% [kernel.vmlinux] [k] update_cfs_group
> 10.63% 10.04% [kernel.vmlinux] [k] update_load_avg
>
> Annotate shows the cycles are mostly spent on accessing tg->load_avg
> with update_load_avg() being the write side and update_cfs_group() being
> the read side. tg->load_avg is per task group and when different tasks
> of the same taskgroup running on different CPUs frequently access
> tg->load_avg, it can be heavily contended.
Interestingly I observed this contention on 2 socket EPYC servers
(Zen3 and Zen4) while running tbench and netperf with David Vernet's
shared-runqueue v3 patches. This contention was observed only when
running with the shared-runqueue enabled but not otherwise.
Overhead Command Shared Object Symbol
+ 20.54% tbench [kernel.vmlinux] [k] update_cfs_group
+ 15.78% tbench [kernel.vmlinux] [k] update_load_avg
This was causing the tbench (and netperf) to not scale beyond 32
clients when shared-runqueue was enabled.
>
> The frequent access to tg->load_avg is due to task migration on wakeup
> path, e.g. when running postgres_sysbench on a 2sockets/112cores/224cpus
> Intel Sappire Rapids, during a 5s window, the wakeup number is 14millions
> and migration number is 11millions and with each migration, the task's
> load will transfer from src cfs_rq to target cfs_rq and each change
> involves an update to tg->load_avg.
With the shared-runqueue patches, we see a lot more task migrations
since the newidle_balance() path would pull tasks from the
shared-runqueue. While the read of tg->load_avg is via READ_ONCE on
x86, the write is atomic.
> Since the workload can trigger as many
> wakeups and migrations, the access(both read and write) to tg->load_avg
> can be unbound. As a result, the two mentioned functions showed noticeable
> overhead. With netperf/nr_client=nr_cpu/UDP_RR, the problem is worse:
> during a 5s window, wakeup number is 21millions and migration number is
> 14millions; update_cfs_group() costs ~25% and update_load_avg() costs ~16%.
>
> Reduce the overhead by limiting updates to tg->load_avg to at most once
> per ms. After this change, the cost of accessing tg->load_avg is greatly
> reduced and performance improved. Detailed test results below.
I will try this patch on with David's series today.
--
Thanks and Regards
gautham.
next prev parent reply other threads:[~2023-08-16 4:56 UTC|newest]
Thread overview: 7+ messages / expand[flat|nested] mbox.gz Atom feed top
2023-08-16 2:48 [RFC PATCH v2 0/1] Reduce cost of accessing tg->load_avg Aaron Lu
2023-08-16 2:48 ` [RFC PATCH 1/1] sched/fair: ratelimit update to tg->load_avg Aaron Lu
2023-08-16 4:42 ` Gautham R. Shenoy [this message]
2023-08-16 5:55 ` Aaron Lu
2023-08-17 12:56 ` Vincent Guittot
2023-08-21 6:06 ` Aaron Lu
2023-08-21 11:57 ` Vincent Guittot
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