On Fri, 28 Sep 2012 21:51:39 +0100 Paul Moore <p.f.mo...@gmail.com> wrote: > On 28 September 2012 19:19, Stefan Krah <ste...@bytereef.org> wrote: > > Brett Cannon <br...@python.org> wrote: > >> Georg Brandl <ge...@python.org> wrote: > >> > * A C implementation of the "decimal" module, with up to 80x speedup > >> > for decimal-heavy applications > >> > >> Could you bump up the factor to 120x in the final announcement? There > >> were > >> a couple of performance improvements in the meantime, and this is what > >> I'm > >> consistently measuring now. > >> > >> > >> Is that based on Modules/_decimal/tests/bench.py or some other benchmark? > > > > It's the pi benchmark from bench.py. This is what I'm typically getting > > on a Core 2 Duo 3.16 GHz: > > > > > > Precision: 9 decimal digits > > > > float: > > result: 3.1415926535897927 > > time: 0.113188s > > > > cdecimal: > > result: 3.14159265 > > time: 0.158313s > > > > decimal: > > result: 3.14159265 > > time: 18.671457s > > > > > > Precision: 19 decimal digits > > > > float: > > result: 3.1415926535897927 > > time: 0.112874s > > > > cdecimal: > > result: 3.141592653589793236 > > time: 0.348100s > > > > decimal: > > result: 3.141592653589793236 > > time: 43.241220s > > Wow! I had no idea cdecimal was that close in speed to float. That's > seriously impressive.
I think this means the performance difference is on the same order of magnitude as the CPython interpretation overhead. Still, it's impressive indeed. Regards Antoine. -- Software development and contracting: http://pro.pitrou.net _______________________________________________ Python-Dev mailing list Python-Dev@python.org http://mail.python.org/mailman/listinfo/python-dev Unsubscribe: http://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
