Hi Brecht. I must say I've been trying to understand what's going on and I'm failing so far. Thanks for a valuable benchmark! And yes, we're working on improving the warmup time (ETA unknown though)
On Sun, Mar 2, 2014 at 12:11 PM, Brecht Machiels <bre...@mos6581.org> wrote: > Thanks Maciej, > > sys._getframe was introduced by "magicsuper", which I used to avoid > refactoring all super() calls. I've done that now and there shouldn't be any > more sys._getframe calls. You can pull in this commit from the pypy2 branch. > > Unfortunately, this didn't improve performance much. PyPy now takes 26 > seconds. Any other ideas? > > Best regards, > Brecht > > ---- On Sun, 02 Mar 2014 08:19:35 +0100 Maciej Fijalkowski wrote ---- > >>the first obvious thing that jumps at me is your casual use of >>sys._getframe - the JIT aborts in this case and proceeds to the >>interpreter (so you pay the price for JITting, while you also pay the >>prace for not having compiled assembler). That probably does not >>explain everything, but please don't use sys._getframe in production >>code if you want the JIT to be fast. >> >>On Sun, Mar 2, 2014 at 12:34 AM, Brecht Machiels > wrote: >>> Hello, >>> >>> I've managed to backport RinohType to Python 2 (took me only a couple of >>> hours thankfully). >>> >>> Results on my Celeron T3000 (Arch Linux x86_64): >>> CPython 3.3.4 14 s >>> PyPy3 2.1.0-beta1 61 s >>> CPython 2.7.6 15 s >>> PyPy 2.2.1 35 s >>> >>> If you want to give it a try (no external dependencies): >>> >>> git clone --branch pypy2 https://github.com/brechtm/rinohtype.git >>> cd rinohtype/examples/rfic2009 >>> rm -rf template.ptc; PYTHONPATH=../.. pypy template.py >>> >>> >>> While PyPy2 performs better than PyPy3, it's still much slower than >>> CPython. Is RinohType hitting a weak spot in PyPy? Any hints on what I can >>> do to improve performance? >>> >>> Best regards, >>> Brecht >>> >>> >>> _______________________________________________ >>> pypy-dev mailing list >>> pypy-dev@python.org >>> https://mail.python.org/mailman/listinfo/pypy-dev >> > > _______________________________________________ > pypy-dev mailing list > pypy-dev@python.org > https://mail.python.org/mailman/listinfo/pypy-dev _______________________________________________ pypy-dev mailing list pypy-dev@python.org https://mail.python.org/mailman/listinfo/pypy-dev
