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Date:	Thu, 12 May 2011 12:55:47 +0200
From:	Ingo Molnar <mingo@...e.hu>
To:	Nikhil Rao <ncrao@...gle.com>,
	Arnaldo Carvalho de Melo <acme@...hat.com>,
	Frédéric Weisbecker <fweisbec@...il.com>
Cc:	Peter Zijlstra <peterz@...radead.org>,
	Mike Galbraith <efault@....de>, linux-kernel@...r.kernel.org,
	"Nikunj A. Dadhania" <nikunj@...ux.vnet.ibm.com>,
	Srivatsa Vaddagiri <vatsa@...ux.vnet.ibm.com>,
	Stephan Barwolf <stephan.baerwolf@...ilmenau.de>
Subject: Re: [PATCH v1 00/19] Increase resolution of load weights


* Nikhil Rao <ncrao@...gle.com> wrote:

> On Tue, May 10, 2011 at 11:59 PM, Ingo Molnar <mingo@...e.hu> wrote:
> >
> > * Nikhil Rao <ncrao@...gle.com> wrote:
> >
> >> > Also, the above (and the other scale-adjustment changes) probably explains
> >> > why the instruction count went up on 64-bit.
> >>
> >> Yes, that makes sense. We see an increase in instruction count of about 2%
> >> with the new version of the patchset, down from 5.8% (will post the new
> >> patchset soon). Assuming 30% of the cost of pipe test is scheduling, that is
> >> an effective increase of approx. 6.7%. I'll post the data and some analysis
> >> along with the new version.
> >
> > An instruction count increase does not necessarily mean a linear slowdown: if
> > those instructions are cheaper or scheduled better by the CPU then often the
> > slowdown will be less.
> >
> > Sometimes a 1% increase in the instruction count can slow down a workload by
> > 5%, if the 1% increase does divisions, has complex data path dependencies or is
> > missing the branch-cache a lot.
> >
> > So you should keep an eye on the cycle count as well. Latest -tip's perf stat
> > can also measure 'stalled cycles':
> >
> > aldebaran:~/sched-tests> taskset 1 perf stat --repeat 3 ./pipe-test-1m
> >
> >  Performance counter stats for './pipe-test-1m' (3 runs):
> >
> >       6499.787926 task-clock               #    0.437 CPUs utilized            ( +-  0.41% )
> >         2,000,108 context-switches         #    0.308 M/sec                    ( +-  0.00% )
> >                 0 CPU-migrations           #    0.000 M/sec                    ( +-100.00% )
> >               147 page-faults              #    0.000 M/sec                    ( +-  0.00% )
> >    14,226,565,939 cycles                   #    2.189 GHz                      ( +-  0.49% )
> >     6,897,331,129 stalled-cycles-frontend  #   48.48% frontend cycles idle     ( +-  0.90% )
> >     4,230,895,459 stalled-cycles-backend   #   29.74% backend  cycles idle     ( +-  1.31% )
> >    14,002,256,109 instructions             #    0.98  insns per cycle
> >                                            #    0.49  stalled cycles per insn  ( +-  0.02% )
> >     2,703,891,945 branches                 #  415.997 M/sec                    ( +-  0.02% )
> >        44,994,805 branch-misses            #    1.66% of all branches          ( +-  0.27% )
> >
> >       14.859234036  seconds time elapsed  ( +-  0.19% )
> >
> > Te stalled-cycles frontend/backend metrics indicate whether a workload utilizes
> > the CPU's resources optimally. Looking at a 'perf record -e
> > stalled-cycles-frontend' and 'perf report' will show you the problem areas.
> >
> > Most of the 'problem areas' will be unrelated to your code.
> >
> > A 'near perfectly utilized' CPU looks like this:
> >
> > aldebaran:~/opt> taskset 1 perf stat --repeat 10 ./fill_1b
> >
> >  Performance counter stats for './fill_1b' (10 runs):
> >
> >       1880.489837 task-clock               #    0.998 CPUs utilized            ( +-  0.15% )
> >                36 context-switches         #    0.000 M/sec                    ( +- 19.87% )
> >                 1 CPU-migrations           #    0.000 M/sec                    ( +- 59.63% )
> >                99 page-faults              #    0.000 M/sec                    ( +-  0.10% )
> >     6,027,432,226 cycles                   #    3.205 GHz                      ( +-  0.15% )
> >        22,138,455 stalled-cycles-frontend  #    0.37% frontend cycles idle     ( +- 36.56% )
> >        16,400,224 stalled-cycles-backend   #    0.27% backend  cycles idle     ( +- 38.12% )
> >    18,008,803,113 instructions             #    2.99  insns per cycle
> >                                            #    0.00  stalled cycles per insn  ( +-  0.00% )
> >     1,001,802,536 branches                 #  532.735 M/sec                    ( +-  0.01% )
> >            22,842 branch-misses            #    0.00% of all branches          ( +-  9.07% )
> >
> >        1.884595529  seconds time elapsed  ( +-  0.15% )
> >
> > Both stall counts are very low. This is pretty hard to achieve in general, so
> > before/after comparisons are used. For that there's 'perf diff' which you can
> > use to compare before/after profiles:
> >
> >  aldebaran:~/sched-tests> taskset 1 perf record -e instructions ./pipe-test-1m
> >  [ perf record: Woken up 2 times to write data ]
> >  [ perf record: Captured and wrote 0.427 MB perf.data (~18677 samples) ]
> >  aldebaran:~/sched-tests> taskset 1 perf record -e instructions ./pipe-test-1m
> >  [ perf record: Woken up 2 times to write data ]
> >  [ perf record: Captured and wrote 0.428 MB perf.data (~18685 samples) ]
> >  aldebaran:~/sched-tests> perf diff | head -10
> >  # Baseline  Delta          Shared Object                         Symbol
> >  # ........ ..........  .................  .............................
> >  #
> >     2.68%     +0.84%  [kernel.kallsyms]  [k] select_task_rq_fair
> >     3.28%     -0.17%  [kernel.kallsyms]  [k] fsnotify
> >     2.67%     +0.13%  [kernel.kallsyms]  [k] _raw_spin_lock_irqsave
> >     2.46%     +0.11%  [kernel.kallsyms]  [k] pipe_read
> >     2.42%             [kernel.kallsyms]  [k] schedule
> >     2.11%     +0.28%  [kernel.kallsyms]  [k] copy_user_generic_string
> >     2.13%     +0.18%  [kernel.kallsyms]  [k] mutex_lock
> >
> >  ( Note: these were two short runs on the same kernel so the diff shows the
> >   natural noise of the profile of this workload. Longer runs are needed to
> >   measure effects smaller than 1%. )
> >
> > So there's a wide range of tools you can use to understand the precise
> > performance impact of your patch and in turn you can present to us what you
> > learned about it.
> >
> > Such analysis saves quite a bit of time on the side of us scheduler maintainers
> > and makes performance impacting patches a lot more easy to apply :-)
> >
> 
> Thanks for the info! I rebased the patchset against -tip and built
> perf from -tip. Here are the results from running pipe-test-100k bound
> to a single cpu with 100 repetitions.
> 
> -tip (baseline):
> 
>  Performance counter stats for '/root/data/pipe-test-100k' (100 runs):
> 
>        907,981,999 instructions             #    0.85  insns per cycle
>                                             #    0.34  stalled cycles
> per insn  ( +-  0.07% )
>      1,072,650,809 cycles                   #    0.000 GHz
>          ( +-  0.13% )
>        305,678,413 stalled-cycles-backend   #   28.50% backend  cycles
> idle     ( +-  0.51% )
>        245,846,208 stalled-cycles-frontend  #   22.92% frontend cycles
> idle     ( +-  0.70% )
> 
>         1.060303165  seconds time elapsed  ( +-  0.09% )
> 
> 
> -tip+patches:
> 
>  Performance counter stats for '/root/data/pipe-test-100k' (100 runs):
> 
>        910,501,358 instructions             #    0.82  insns per cycle
>                                             #    0.36  stalled cycles
> per insn  ( +-  0.06% )
>      1,108,981,763 cycles                   #    0.000 GHz
>          ( +-  0.17% )
>        328,816,295 stalled-cycles-backend   #   29.65% backend  cycles
> idle     ( +-  0.63% )
>        247,412,614 stalled-cycles-frontend  #   22.31% frontend cycles
> idle     ( +-  0.71% )
> 
>         1.075497493  seconds time elapsed  ( +-  0.10% )
> 
> 
> >From this latest run on -tip, the instruction count is about ~0.28%
> more and cycles are approx 3.38% more. From the stalled cycles counts,
> it looks like most of this increase is coming from backend stalled
> cycles. It's not clear what type of stalls these are, but if I were to
> guess, I think it means stalls post-decode (i.e. functional units,
> load/store, etc.). Is that right?

Yeah, more functional work to be done, and probably a tad more expensive per 
extra instruction executed.

How did branches and branch misses change?

> Another thing I noticed while running this on -tip is that low-weight
> task groups are poorly balanced on -tip (much worse than v2.6.39-rc7).
> I started bisecting between v2.6.39-rc7 and -tip to identify the
> source of this regression.

Ok, would be nice to figure out which commit did this.

> I collected profiles from long runs of pipe-test (about 3m iterations)
> and tried running "perf diff" on the profiles. I cached the buildid
> from the two kernel images and associated test binary & libraries. The
> individual reports make sense, but I suspect something is wrong with
> the diff output.

Ok, i've Cc:-ed Arnaldo and Frederic, the perf diff output indeed looks 
strange. (the perf diff output is repeated below.)

Thanks,

	Ingo

> # perf buildid-cache -v -a boot.tip-patches/vmlinux-2.6.39-tip-smp-DEV
> Adding 17b6f2c42deb3725ad35e3dcba2d9fdb92ad47c1
> boot.tip-patches/vmlinux-2.6.39-tip-smp-DEV: Ok
> # perf buildid-cache -v -a boot.tip/vmlinux-2.6.39-tip-smp-DEV
> Adding 47737eb3efdd6cb789872311c354b106ec8e7477
> p/boot.tip/vmlinux-2.6.39-tip-smp-DEV: Ok
> 
> # perf buildid-list -i perf.data | grep kernel
> 17b6f2c42deb3725ad35e3dcba2d9fdb92ad47c1 [kernel.kallsyms]
> 
> # perf buildid-list -i perf.data.old | grep kernel
> 47737eb3efdd6cb789872311c354b106ec8e7477 [kernel.kallsyms]
> 
> # perf report -i perf.data.old -d [kernel.kallsyms] | head -n 10
> # dso: [kernel.kallsyms]
> # Events: 30K instructions
> #
> # Overhead       Command                       Symbol
> # ........  ............  ...........................
> #
>      5.55%  pipe-test-3m  [k] pipe_read
>      4.78%  pipe-test-3m  [k] schedule
>      3.68%  pipe-test-3m  [k] update_curr
>      3.52%  pipe-test-3m  [k] pipe_write
> 
> 
> # perf report -i perf.data -d [kernel.kallsyms] | head -n 10
> # dso: [kernel.kallsyms]
> # Events: 31K instructions
> #
> # Overhead       Command                                 Symbol
> # ........  ............  .....................................
> #
>      6.09%  pipe-test-3m  [k] pipe_read
>      4.86%  pipe-test-3m  [k] schedule
>      4.24%  pipe-test-3m  [k] update_curr
>      3.87%  pipe-test-3m  [k] find_next_bit
> 
> 
> # perf diff -v -d [kernel.kallsyms]
> build id event received for [kernel.kallsyms]:
> 47737eb3efdd6cb789872311c354b106ec8e7477
> ...
> build id event received for [kernel.kallsyms]:
> 17b6f2c42deb3725ad35e3dcba2d9fdb92ad47c1
> ...
> Looking at the vmlinux_path (6 entries long)
> Using /tmp/.debug/.build-id/47/737eb3efdd6cb789872311c354b106ec8e7477
> for symbols
> Looking at the vmlinux_path (6 entries long)
> Using /tmp/.debug/.build-id/17/b6f2c42deb3725ad35e3dcba2d9fdb92ad47c1
> for symbols
> # Baseline  Delta                                     Symbol
> # ........ ..........  .....................................
> #
>      0.00%     +6.09%  0xffffffff8112a258 ! [k] pipe_read
>      0.00%     +4.86%  0xffffffff8141a206 ! [k] schedule
>      0.00%     +4.24%  0xffffffff810634d8 ! [k] update_curr
>      0.00%     +3.87%  0xffffffff8121f569 ! [k] find_next_bit
>      0.00%     +3.33%  0xffffffff81065cbf ! [k] enqueue_task_fair
>      0.00%     +3.25%  0xffffffff81065824 ! [k] dequeue_task_fair
>      0.00%     +2.77%  0xffffffff81129d10 ! [k] pipe_write
>      0.00%     +2.71%  0xffffffff8114ed97 ! [k] fsnotify
> 
> The baseline numbers are showing up as zero and the deltas match the
> fractions from the -tip+patches report. Am I missing something here?
> 
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