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Message-ID: <20190611195549.GL3341036@devbig004.ftw2.facebook.com>
Date:   Tue, 11 Jun 2019 12:55:49 -0700
From:   Tejun Heo <tj@...nel.org>
To:     Daniel Jordan <daniel.m.jordan@...cle.com>
Cc:     hannes@...xchg.org, jiangshanlai@...il.com, lizefan@...wei.com,
        bsd@...hat.com, dan.j.williams@...el.com, dave.hansen@...el.com,
        juri.lelli@...hat.com, mhocko@...nel.org, peterz@...radead.org,
        steven.sistare@...cle.com, tglx@...utronix.de,
        tom.hromatka@...cle.com, vdavydov.dev@...il.com,
        cgroups@...r.kernel.org, linux-kernel@...r.kernel.org,
        linux-mm@...ck.org, shakeelb@...gle.com
Subject: Re: [RFC v2 0/5] cgroup-aware unbound workqueues

Hello, Daniel.

On Wed, Jun 05, 2019 at 11:32:29AM -0400, Daniel Jordan wrote:
> Sure, quoting from the last ktask post:
> 
>   A single CPU can spend an excessive amount of time in the kernel operating
>   on large amounts of data.  Often these situations arise during initialization-
>   and destruction-related tasks, where the data involved scales with system size.
>   These long-running jobs can slow startup and shutdown of applications and the
>   system itself while extra CPUs sit idle.
>       
>   To ensure that applications and the kernel continue to perform well as core
>   counts and memory sizes increase, harness these idle CPUs to complete such jobs
>   more quickly.
>       
>   ktask is a generic framework for parallelizing CPU-intensive work in the
>   kernel.  The API is generic enough to add concurrency to many different kinds
>   of tasks--for example, zeroing a range of pages or evicting a list of
>   inodes--and aims to save its clients the trouble of splitting up the work,
>   choosing the number of threads to use, maintaining an efficient concurrency
>   level, starting these threads, and load balancing the work between them.

Yeah, that rings a bell.

> > For memory and io, we're generally going for remote charging, where a
> > kthread explicitly says who the specific io or allocation is for,
> > combined with selective back-charging, where the resource is charged
> > and consumed unconditionally even if that would put the usage above
> > the current limits temporarily.  From what I've been seeing recently,
> > combination of the two give us really good control quality without
> > being too invasive across the stack.
> 
> Yes, for memory I actually use remote charging.  In patch 3 the worker's
> current->active_memcg field is changed to match that of the cgroup associated
> with the work.

I see.

> > CPU doesn't have a backcharging mechanism yet and depending on the use
> > case, we *might* need to put kthreads in different cgroups.  However,
> > such use cases might not be that abundant and there may be gotaches
> > which require them to be force-executed and back-charged (e.g. fs
> > compression from global reclaim).
> 
> The CPU-intensiveness of these works is one of the reasons for actually putting
> the workers through the migration path.  I don't know of a way to get the
> workers to respect the cpu controller (and even cpuset for that matter) without
> doing that.

So, I still think it'd likely be better to go back-charging route than
actually putting kworkers in non-root cgroups.  That's gonna be way
cheaper, simpler and makes avoiding inadvertent priority inversions
trivial.

Thanks.

-- 
tejun

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