On 7/19/13, Yaroslav Halchenko <li...@onerussian.com> wrote: > I have just added a few more benchmarks, and here they come > http://www.onerussian.com/tmp/numpy-vbench/vb_vb_linalg.html#numpy-linalg-pinv-a-float32 > it seems to be very recent so my only check based on 10 commits > didn't pick it up yet so they are not present in the summary table. > > could well be related to 80% faster det()? ;) > > norm was hit as well a bit earlier,
Well, this is embarrassing: https://github.com/numpy/numpy/pull/3539 Thanks for benchmarks! I'm now an even bigger fan. :) Warren might well be within these commits: > https://github.com/numpy/numpy/compare/24a0aa5...29dcc54 > I will rerun now benchmarking for the rest of commits (was running last > in the day iirc) > > Cheers, > > On Tue, 16 Jul 2013, Yaroslav Halchenko wrote: > >> and to put so far reported findings into some kind of automated form, >> please welcome > >> http://www.onerussian.com/tmp/numpy-vbench/#benchmarks-performance-analysis > >> This is based on a simple 1-way anova of last 10 commits and some point >> in the past where 10 other commits had smallest timing and were >> significantly >> different from the last 10 commits. > >> "Possible recent" is probably too noisy and not sure if useful -- it >> should >> point to a closest in time (to the latest commits) diff where a >> significant excursion from current performance was detected. So per se it >> has >> nothing to do with the initial detected performance hit, but in some >> cases >> seems still to reasonably locate commits hitting on performance. > >> Enjoy, > -- > Yaroslav O. Halchenko, Ph.D. > http://neuro.debian.net http://www.pymvpa.org http://www.fail2ban.org > Senior Research Associate, Psychological and Brain Sciences Dept. > Dartmouth College, 419 Moore Hall, Hinman Box 6207, Hanover, NH 03755 > Phone: +1 (603) 646-9834 Fax: +1 (603) 646-1419 > WWW: http://www.linkedin.com/in/yarik > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
