Julian Taylor contributed some benchmarks he was "concerned" about, so now the collection is even better.
I will keep updating tests on the same url: http://www.onerussian.com/tmp/numpy-vbench/ [it is now running and later I will upload with more commits for higher temporal fidelity] of particular interest for you might be: some minor consistent recent losses in http://www.onerussian.com/tmp/numpy-vbench/vb_vb_io.html#strided-assign-float64 http://www.onerussian.com/tmp/numpy-vbench/vb_vb_io.html#strided-assign-float32 http://www.onerussian.com/tmp/numpy-vbench/vb_vb_io.html#strided-assign-int16 http://www.onerussian.com/tmp/numpy-vbench/vb_vb_io.html#strided-assign-int8 seems have lost more than 25% of performance throughout the timeline http://www.onerussian.com/tmp/numpy-vbench/vb_vb_io.html#memcpy-int8 "fast" calls to all/any seemed to be hurt twice in their life time now running *3 times slower* than in 2011 -- inflection points correspond to regressions and/or their fixes in those functions to bring back performance on "slow" cases (when array traversal is needed, e.g. on arrays of zeros for any) http://www.onerussian.com/tmp/numpy-vbench/vb_vb_reduce.html#numpy-all-fast http://www.onerussian.com/tmp/numpy-vbench/vb_vb_reduce.html#numpy-any-fast Enjoy On Mon, 01 Jul 2013, Yaroslav Halchenko wrote: > FWIW -- updated plots with contribution from Julian Taylor > http://www.onerussian.com/tmp/numpy-vbench-20130701/vb_vb_indexing.html#mmap-slicing > ;-) > On Mon, 01 Jul 2013, Yaroslav Halchenko wrote: > > Hi Guys, > > not quite the recommendations you expressed, but here is my ugly > > attempt to improve benchmarks coverage: > > http://www.onerussian.com/tmp/numpy-vbench-20130701/index.html > > initially I also ran those ufunc benchmarks per each dtype separately, > > but then resulting webpage is loong which brings my laptop on its knees > > by firefox. So I commented those out for now, and left only "summary" > > ones across multiple datatypes. > > There is a bug in sphinx which forbids embedding some figures for > > vb_random "as is", so pardon that for now... > > I have not set cpu affinity of the process (but ran it at nice -10), so > > may be > > that also contributed to variance of benchmark estimates. And there > > probably > > could be more of goodies (e.g. gc control etc) to borrow from > > https://github.com/pydata/pandas/blob/master/vb_suite/test_perf.py which I > > have > > just discovered to minimize variance. > > nothing really interesting was pin-pointed so far, besides that > > - svd became a bit faster since few months back ;-) > > http://www.onerussian.com/tmp/numpy-vbench-20130701/vb_vb_linalg.html > > - isnan (and isinf, isfinite) got improved > > http://www.onerussian.com/tmp/numpy-vbench-20130701/vb_vb_ufunc.html#numpy-isnan-a-10types > > - right_shift got a miniscule slowdown from what it used to be? > > http://www.onerussian.com/tmp/numpy-vbench-20130701/vb_vb_ufunc.html#numpy-right-shift-a-a-3types > > As before -- current code of those benchmarks collection is available > > at http://github.com/yarikoptic/numpy-vbench/pull/new/master > > if you have specific snippets you would like to benchmark -- just state them > > here or send a PR -- I will add them in. > > Cheers, > > On Tue, 07 May 2013, Daπid wrote: > > > On 7 May 2013 13:47, Sebastian Berg <sebast...@sipsolutions.net> wrote: > > > > Indexing/assignment was the first thing I thought of too (also because > > > > fancy indexing/assignment really could use some speedups...). Other then > > > > that maybe some timings for small arrays/scalar math, but that might be > > > > nice for that GSoC project. > > > Why not going bigger? Ufunc operations on big arrays, CPU and memory > > > bound. > > > Also, what about interfacing with other packages? It may increase the > > > compiling overhead, but I would like to see Cython in action (say, > > > only last version, maybe it can be fixed). > > > _______________________________________________ > > > NumPy-Discussion mailing list > > > NumPy-Discussion@scipy.org > > > http://mail.scipy.org/mailman/listinfo/numpy-discussion -- 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
