linux-kernel - Re: [RFC PATCH] sched/fair: Make tg->load

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Message-ID: <ZCGsJB36YYbgsgBW@chenyu5-mobl1>
Date:   Mon, 27 Mar 2023 22:45:56 +0800
From:   Chen Yu <yu.c.chen@...el.com>
To:     Aaron Lu <aaron.lu@...el.com>
CC:     Peter Zijlstra <peterz@...radead.org>,
        Ingo Molnar <mingo@...hat.com>,
        Juri Lelli <juri.lelli@...hat.com>,
        Vincent Guittot <vincent.guittot@...aro.org>,
        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>,
        Valentin Schneider <vschneid@...hat.com>,
        Tim Chen <tim.c.chen@...el.com>,
        Nitin Tekchandani <nitin.tekchandani@...el.com>,
        Waiman Long <longman@...hat.com>,
        <linux-kernel@...r.kernel.org>
Subject: Re: [RFC PATCH] sched/fair: Make tg->load_avg per node

On 2023-03-27 at 13:39:55 +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
> cpus of one node of a 2sockets/112core/224cpu Intel Sapphire Rapids:
> 
>     10.01%     9.86%  [kernel.vmlinux]        [k] update_cfs_group
>      7.84%     7.43%  [kernel.vmlinux]        [k] update_load_avg
> 
> While cpus of the other node normally sees a lower cycle percent:
> 
>      4.46%     4.36%  [kernel.vmlinux]        [k] update_cfs_group
>      4.02%     3.40%  [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.
> 
> The reason why only cpus of one node has bigger overhead is: task_group
> is allocated on demand from a slab and whichever cpu happens to do the
> allocation, the allocated tg will be located on that node and accessing
> to tg->load_avg will have a lower cost for cpus on the same node and
> a higer cost for cpus of the remote node.
> 
> Tim Chen told me that PeterZ once mentioned a way to solve a similar
> problem by making a counter per node so do the same for tg->load_avg.
> After this change, the worst number I saw during a 5 minutes run from
> both nodes are:
> 
>      2.77%     2.11%  [kernel.vmlinux]        [k] update_load_avg
>      2.72%     2.59%  [kernel.vmlinux]        [k] update_cfs_group
> 
> Another observation of this workload is: it has a lot of wakeup time
> task migrations and that is the reason why update_load_avg() and
> update_cfs_group() shows noticeable cost. Running this workload in N
> instances setup where N >= 2 with sysbench's nr_threads set to 1/N nr_cpu,
> task migrations on wake up time are greatly reduced and the overhead from
> the two above mentioned functions also dropped a lot. It's not clear to
> me why running in multiple instances can reduce task migrations on
> wakeup path yet.
>
Looks interesting, when the sysbench is 1 instance and nr_threads = nr_cpu,
and when the launches more than 1 instance of sysbench, while nr_threads set
to 1/N * nr_cpu, do both cases have similar CPU utilization? Currently the
task wakeup inhibits migration wakeup if the system is overloaded.
[...]
>  struct task_group *sched_create_group(struct task_group *parent)
>  {
> +	size_t size = sizeof(struct task_group);
> +	int __maybe_unused i, nodes;
>  	struct task_group *tg;
>  
> -	tg = kmem_cache_alloc(task_group_cache, GFP_KERNEL | __GFP_ZERO);
> +#if defined(CONFIG_FAIR_GROUP_SCHED) && defined(CONFIG_SMP)
> +	nodes = num_possible_nodes();
> +	size += nodes * sizeof(void *);
> +	tg = kzalloc(size, GFP_KERNEL);
> +	if (!tg)
> +		return ERR_PTR(-ENOMEM);
> +
> +	for_each_node(i) {
> +		tg->node_info[i] = kzalloc_node(sizeof(struct tg_node_info), GFP_KERNEL, i);
> +		if (!tg->node_info[i])
> +			return ERR_PTR(-ENOMEM);
Do we need to free tg above in case of memory leak?

thanks,
Chenyu