Re: [pypy-dev] [pypy-commit] pypy cpyext-faster-arg-passing: document branch
Hi Carl, wow, this looks awesome. Did you run benchmarks to measure the speedup? If yes, should we add them to my repo? https://github.com/antocuni/cpyext-benchmarks ciao, Anto On Tue, Jan 30, 2018 at 1:31 PM, cfbolz <pypy.commits@gmail.com> wrote:
Hi Anto, Yes, I ran your benchmarks and they are improved, particularly the ones that pass arguments. I need to rerun them now that I merged default. However, I would prefer it if we could find a real life cpyext benchmark (maybe using numpy?). Cheers, Carl Friedrich Carl Friedrich On January 31, 2018 1:16:15 PM GMT+01:00, Antonio Cuni <anto.cuni@gmail.com> wrote:
On Wed, Jan 31, 2018 at 12:34 PM, Carl Friedrich Bolz-Tereick <cfbolz@gmx.de
wrote:
cool :)
I need to rerun them now that I merged default. However, I would prefer it if we could find a real life cpyext benchmark (maybe using numpy?).
yes sure, mine are microbenchmarks, although they are still useful for guiding optimizations. About a real life-ish benchmark, what about this (the first version of course, the one using cpyext)? https://morepypy.blogspot.co.uk/2017/10/how-to-make-your-code-80-times-faste... IIRC, at some point I tried to run it before and after the branches we did in Cape Town, and I measured a good speedup (although I don't remember how much). It'd be interesting to check how much we win with your work. I cannot do it now easily because I'm not at home until the end of the week, though. ciao, Anto
Hi Anto, Yes, I ran your benchmarks and they are improved, particularly the ones that pass arguments. I need to rerun them now that I merged default. However, I would prefer it if we could find a real life cpyext benchmark (maybe using numpy?). Cheers, Carl Friedrich Carl Friedrich On January 31, 2018 1:16:15 PM GMT+01:00, Antonio Cuni <anto.cuni@gmail.com> wrote:
On Wed, Jan 31, 2018 at 12:34 PM, Carl Friedrich Bolz-Tereick <cfbolz@gmx.de
wrote:
cool :)
I need to rerun them now that I merged default. However, I would prefer it if we could find a real life cpyext benchmark (maybe using numpy?).
yes sure, mine are microbenchmarks, although they are still useful for guiding optimizations. About a real life-ish benchmark, what about this (the first version of course, the one using cpyext)? https://morepypy.blogspot.co.uk/2017/10/how-to-make-your-code-80-times-faste... IIRC, at some point I tried to run it before and after the branches we did in Cape Town, and I measured a good speedup (although I don't remember how much). It'd be interesting to check how much we win with your work. I cannot do it now easily because I'm not at home until the end of the week, though. ciao, Anto
participants (2)
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Antonio Cuni -
Carl Friedrich Bolz-Tereick