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From: Davidlohr Bueso <dave@stgolabs.net>
To: Waiman Long <longman@redhat.com>
Cc: John Hubbard <jhubbard@nvidia.com>,
	Daniel Jordan <daniel.m.jordan@oracle.com>,
	linux-kernel@vger.kernel.org,
	"linux-mm@kvack.org" <linux-mm@kvack.org>,
	Aaron Lu <aaron.lu@intel.com>,
	alex.kogan@oracle.com, akpm@linux-foundation.org,
	boqun.feng@gmail.com, brouer@redhat.com, dave.dice@oracle.com,
	Dhaval Giani <dhaval.giani@oracle.com>,
	ktkhai@virtuozzo.com, ldufour@linux.vnet.ibm.com,
	Pavel.Tatashin@microsoft.com, paulmck@linux.vnet.ibm.com,
	shady.issa@oracle.com, tariqt@mellanox.com, tglx@linutronix.de,
	tim.c.chen@intel.com, vbabka@suse.cz, yang.shi@linux.alibaba.com,
	shy828301@gmail.com, Huang Ying <ying.huang@intel.com>,
	subhra.mazumdar@oracle.com,
	Steven Sistare <steven.sistare@oracle.com>,
	jwadams@google.com, ashwinch@google.com, sqazi@google.com,
	Shakeel Butt <shakeelb@google.com>,
	walken@google.com, rientjes@google.com, junaids@google.com,
	Neha Agarwal <nehaagarwal@google.com>
Subject: Re: Plumbers 2018 - Performance and Scalability Microconference
Date: Mon, 10 Sep 2018 10:20:11 -0700	[thread overview]
Message-ID: <20180910172011.GB3902@linux-r8p5> (raw)
In-Reply-To: <55b44432-ade5-f090-bfe7-ea20f3e87285@redhat.com>

On Mon, 10 Sep 2018, Waiman Long wrote:

>On 09/08/2018 12:13 AM, John Hubbard wrote:
>>
>> Hi Daniel and all,
>>
>> I'm interested in the first 3 of those 4 topics, so if it doesn't conflict with HMM topics or
>> fix-gup-with-dma topics, I'd like to attend. GPUs generally need to access large chunks of
>> memory, and that includes migrating (dma-copying) pages around.
>>
>> So for example a multi-threaded migration of huge pages between normal RAM and GPU memory is an
>> intriguing direction (and I realize that it's a well-known topic, already). Doing that properly
>> (how many threads to use?) seems like it requires scheduler interaction.
>>
>> It's also interesting that there are two main huge page systems (THP and Hugetlbfs), and I sometimes
>> wonder the obvious thing to wonder: are these sufficiently different to warrant remaining separate,
>> long-term?  Yes, I realize they're quite different in some ways, but still, one wonders. :)
>
>One major difference between hugetlbfs and THP is that the former has to
>be explicitly managed by the applications that use it whereas the latter
>is done automatically without the applications being aware that THP is
>being used at all. Performance wise, THP may or may not increase
>application performance depending on the exact memory access pattern,
>though the chance is usually higher that an application will benefit
>than suffer from it.
>
>If an application know what it is doing, using hughtblfs can boost
>performance more than it can ever achieved by THP. Many large enterprise
>applications, like Oracle DB, are using hugetlbfs and explicitly disable
>THP. So unless THP can improve its performance to a level that is
>comparable to hugetlbfs, I won't see the later going away.

Yep, there are a few non-trivial workloads out there that flat out discourage
thp, ie: redis to avoid latency issues.

Thanks,
Davidlohr

  reply	other threads:[~2018-09-10 17:20 UTC|newest]

Thread overview: 21+ messages / expand[flat|nested]  mbox.gz  Atom feed  top
2018-09-04 21:28 Plumbers 2018 - Performance and Scalability Microconference Daniel Jordan
2018-09-05  6:38 ` Mike Rapoport
2018-09-05 19:51   ` Pasha Tatashin
2018-09-06  5:49     ` Mike Rapoport
2018-09-05 15:10 ` Christopher Lameter
2018-09-05 16:17   ` Laurent Dufour
2018-09-05 17:11     ` Christopher Lameter
2018-09-05 23:01     ` Thomas Gleixner
2018-09-06  7:45       ` Laurent Dufour
2018-09-06  1:58   ` Huang, Ying
2018-09-06 14:41     ` Christopher Lameter
2018-09-07  2:17       ` Huang, Ying
2018-09-06 21:36     ` Mike Kravetz
2018-09-07  0:52       ` Hugh Dickins
2018-09-08  4:13 ` John Hubbard
2018-09-10 17:09   ` Waiman Long
2018-09-10 17:20     ` Davidlohr Bueso [this message]
2018-09-10 17:34       ` John Hubbard
2018-09-11  0:29         ` Daniel Jordan
2018-09-11 13:52           ` Waiman Long
2018-09-11  0:38   ` Daniel Jordan

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