Mailman 3 July 2017 - Speed

Re: [Speed] option in performance to invoke number of worker preocess
by Pintu Kumar July 27, 2017

July 27, 2017

By mistake, mail was sent to Victor instead of speed. I was asking if the benchmark code is specific to intel x86_64. When I am running this tool (performance) on IBM Power machine, results are kind of promising enough as multiple runs of this benchmark tool comes up with the same result and benchmark seems to be stable. On Thu, Jul 27, 2017 at 4:52 AM, Victor Stinner <victor.stinner(a)gmail.com> wrote: > Hum, you replied to me in private. I don't know if it was deliberate. > > 2017-07-26 19:39 GMT+02:00 Pintu Kumar <pintukumar79(a)gmail.com>: > > Thanks Victor. I already tried with --fast and --rigorous option. > Rigorous > > spawns twice the number of worker processes. My result was almost same > for > > both options --fast as well as --rigorous. > > Oh ok, good. > > > I will look into third link you > > have shared. I have one more query. Almost all the time you have > discussed > > about running this performance tool on Intel x86_64 architecture, even i > saw > > your video about how to tune systems to run benchmarks. I am running this > > benchmark tool on IBM Power machine running ubuntu O.S. So, should I > believe > > the results what I get here on IBM Power machine. > > I focused on hardware that I have (access to), so Intel x86-64 CPUs. > Sorry, I don't know IBM Power, I don't know how power management is > handled on such CPU. Ask maybe on the speed mailing list? > > Victor >

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Re: [Speed] option in performance to invoke number of worker preocess
by Victor Stinner July 26, 2017

July 26, 2017

There is a --fast option to spawn less processes: http://pyperformance.readthedocs.io/usage.html#run But I don't suggest you to use it since it's less reliable ;-) For me, it's really important to get stable benchmarks: http://pyperformance.readthedocs.io/usage.html#how-to-get-stable-benchmarks Most benchmarks can be run a standalone scripts: see performance/benchmarks/ in the source code (performance.benchmarks module). These scripts provide the full perf CLI, all options: http://perf.readthedocs.io/en/latest/runner.html Victor 2017-07-25 20:24 GMT+02:00 Pintu Kumar <pintukumar79(a)gmail.com>: > Hi, > > I think performance is a kind of wrapper over perf if I am correct. As I > come across thing that perf internally creates 20 worker process to run over > benchmark program. So, is there a way to run any particular number of > workers from command line of performance like perf. > > Thanks! > > _______________________________________________ > Speed mailing list > Speed(a)python.org > https://mail.python.org/mailman/listinfo/speed >

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option in performance to invoke number of worker preocess
by Pintu Kumar July 25, 2017

July 25, 2017

Hi, I think performance is a kind of wrapper over perf if I am correct. As I come across thing that perf internally creates 20 worker process to run over benchmark program. So, is there a way to run any particular number of workers from command line of performance like perf. Thanks!

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performance 0.6.0 released
by Victor Stinner July 6, 2017

July 6, 2017

Hi, I released performance 0.6.0: http://pyperformance.readthedocs.io/ This releaes uses the just released perf 1.4 which fix parse_cpu_list() for the Linux setup of Xiang Zhang :-) https://github.com/python/performance/issues/29 As any performance release, results produced by performance 0.6.0 are incompatible with results produced by an older version. But in this release, it's even more important because of a "fix" in bm_logging.py benchmark: Logger.warning() is now used instead of Logger.warn(), but warning() is faster! Changes: Version 0.6.0 (2017-07-06) -------------------------- * Change ``warn`` to ``warning`` in `bm_logging.py`. In Python 3, Logger.warn() calls warnings.warn() to log a deprecation warning, so is slower than Logger.warning(). * Add again the ``logging_silent`` microbenchmark suite. * compile command: update the Git repository before getting the revision * Update requirements - perf: 1.3 => 1.4 (fix parse_cpu_list(): strip also NUL characters) - Django: 1.11.1 => 1.11.3 - mercurial: 4.2 => 4.2.2 - pathlib2: 2.2.1 => 2.3.0 - SQLAlchemy: 1.1.10 => 1.1.11 Victor

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