no, the strbuf does improve stuff about 20-30% it's just not what I was hoping for :-)
On Wed, Aug 5, 2015 at 4:51 PM, Brecht Machiels <brecht__gm...@mos6581.org> wrote: > Hello Maciej, > > Mmm, too bad. Thankfully, with PyPy 2.6.0, speed is about the same as for > CPython. PyPy 2.2.1 was significantly slower. > > In any case, thanks for trying out the strbuf optimization. I'm sure it will > be helpful for other applications. And we can rule this out as the cause of > the low performance with RinohType. > > I've made some changes to make RinohType more suitable for benchmarking. You > can find it here: > branch pypy_benchmark of g...@github.com:brechtm/rinohtype.git > > Simply run benchmark_pypy.sh (and benchmark_python.sh). > > You can change the length of the document by changing the 'repeat' parameter > in examples/rfic2009/template.xml > > For repeat=500, PyPy 2.6.0 is about as fast as CPython 2.7.9 > For repeat=5000, PyPy = 214s and CPython = 227s > > If you think this benchmark is useful, please include it in > http://speed.pypy.org > > Let me know if there's anything else I can do. > > Cheers, > Brecht > > > On Wed, 05 Aug 2015 09:52:23 +0200, Maciej Fijalkowski <fij...@gmail.com> > wrote: > >> Hi Brecht >> >> We tried the strbuf with rinohtype and (after warmup) it's the speed >> of cpython, which is bad. >> >> investigating some more.... >> >> On Sun, Mar 2, 2014 at 12:34 AM, Brecht Machiels <bre...@mos6581.org> >> 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
