Re: [UPDATED][PATCH][mmotm] Help Root Memory Cgroup ResourceCounters Scale Better (v5)

From: Ingo Molnar
Date: Thu Aug 13 2009 - 04:36:04 EST



* Balbir Singh <balbir@xxxxxxxxxxxxxxxxxx> wrote:

> Without Patch
>
> Performance counter stats for '/home/balbir/parallel_pagefault':
>
> 5826093739340 cycles # 809.989 M/sec
> 408883496292 instructions # 0.070 IPC
> 7057079452 cache-references # 0.981 M/sec
> 3036086243 cache-misses # 0.422 M/sec

> With this patch applied
>
> Performance counter stats for '/home/balbir/parallel_pagefault':
>
> 5957054385619 cycles # 828.333 M/sec
> 1058117350365 instructions # 0.178 IPC
> 9161776218 cache-references # 1.274 M/sec
> 1920494280 cache-misses # 0.267 M/sec

Nice how the instruction count and the IPC value incraesed, and the
cache-miss count decreased.

Btw., a 'perf stat' suggestion: you can also make use of built-in
error bars via repeating parallel_pagefault N times:

aldebaran:~> perf stat --repeat 3 /bin/ls

Performance counter stats for '/bin/ls' (3 runs):

1.108886 task-clock-msecs # 0.875 CPUs ( +- 4.316% )
0 context-switches # 0.000 M/sec ( +- 0.000% )
0 CPU-migrations # 0.000 M/sec ( +- 0.000% )
254 page-faults # 0.229 M/sec ( +- 0.000% )
3461896 cycles # 3121.958 M/sec ( +- 3.508% )
3044445 instructions # 0.879 IPC ( +- 0.134% )
21213 cache-references # 19.130 M/sec ( +- 1.612% )
2610 cache-misses # 2.354 M/sec ( +- 39.640% )

0.001267355 seconds time elapsed ( +- 4.762% )

that way even small changes in metrics can be identified as positive
effects of a patch, if the improvement is beyond the error
percentage that perf reports.

For example in the /bin/ls numbers i cited above, the 'instructions'
value can be trusted up to 99.8% (with a ~0.13% noise), while say
the cache-misses value can not really be trusted, as it has 40% of
noise. (Increasing the repeat count will drive down the noise level
- at the cost of longer measurement time.)

For your patch the improvement is so drastic that this isnt needed -
but the error estimations can be quite useful for more borderline
improvements. (and they are also useful in finding and proving small
performance regressions)

Ingo
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