From: Glauber Costa <glommer@parallels.com>
To: "linux-mm@kvack.org" <linux-mm@kvack.org>,
Mel Gorman <mgorman@suse.de>, Andi Kleen <andi@firstfloor.org>,
Peter Zijlstra <a.p.zijlstra@chello.nl>,
Cgroups <cgroups@vger.kernel.org>, Ying Han <yinghan@google.com>,
Tejun Heo <tj@kernel.org>,
linux-kernel <linux-kernel@vger.kernel.org>,
"devel@openvz.org" <devel@openvz.org>,
Konstantin Khorenko <khorenko@parallels.com>,
James Bottomley <JBottomley@Parallels.com>
Subject: kmemcg benchmarks
Date: Thu, 13 Sep 2012 15:32:27 +0400 [thread overview]
Message-ID: <5051C44B.3000707@parallels.com> (raw)
Hello everybody.
I've just finished a round of benchmarks for kmemcg code. All the
results can be found at: http://glommer.net/kmemcg-benchmarks-13092012/
The benchmarks were run in a 2-socket, 24-cpu machine. I haven't run all
possible configurations I have envisioned, because I wanted this posted
early rather than later. I've also had un-official runs in my 4-cpu i7
laptop and in a 6-way single socket AMD box. They would need to be
re-run to be publishable, since they are quite raw and ad-hoc (like, I
was not running perf stat always in the same way, doing some things
manually, etc) But they overall point to consistent results.
You can find a guide to that data in the README file in that dir, and
the actual data in the results* dir. The chosen allocator for this is
the SLAB.
A summary and discussion of the data follows:
fork intensive workload, elapsed time:
===============================================
base-NotCompiled : 16.76 +- 0.87% [ + 0.00 % ]
kmemcg-stack-Unset: 16.28 +- 1.10% [ - 2.86 % ]
kmemcg-stack-Set : 16.96 +- 0.65% [ + 1.19 % ]
kmemcg-slab-Unset : 16.71 +- 1.16% [ + 0.28 % ]
kmemcg-slab-Set : 17.11 +- 0.48% [ + 2.08 % ]
fork + user mem, elapsed time:
===============================================
base-NotCompiled : 4.88 +- 0.35% [ + 0.00 % ]
kmemcg-stack-Unset: 4.87 +- 0.36% [ - 0.34 % ]
kmemcg-stack-Set : 4.85 +- 0.37% [ - 0.76 % ]
kmemcg-slab-Unset : 4.84 +- 0.39% [ - 0.79 % ]
kmemcg-slab-Set : 4.84 +- 0.35% [ - 0.78 % ]
So in general, I don't see a big difference, with almost all
measurements falling inside the 2-sigma range.
>From the fork intensive workload, two things pop out: first, kmem
patches applied, but kmem not used, actually performs slightly better
than no patches at all. I don't know why this is, and it might even be a
glitch. But it consistently happened in my laptop and in the 6-way AMD
machine.
Also, we can see that in that workload, which is slab intensive,
kmemcg-slab-Set performs slightly worse. Being worse is inline with
expectations, but I don't consider the hit to be too big.
Please let me know of any additional work you would like to see done here.
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reply other threads:[~2012-09-13 11:36 UTC|newest]
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