Hi, On Wed, Mar 26, 2014 at 1:41 PM, Nathaniel Smith <n...@pobox.com> wrote: > On Wed, Mar 26, 2014 at 7:34 PM, Julian Taylor > <jtaylor.deb...@googlemail.com> wrote: >> as for using openblas by default in binary builds, no. >> pthread openblas build is now fork safe which is great but it is still >> not reliable enough for a default. >> E.g. the current latest release 0.2.8 still has one crash bug on >> dgemv[1], and wrong results zherk/zer2[2] and dgemv/cgemv[3]. >> git head has the former four fixed bug still has wrong results for cgemv. >> The not so old 0.2.8 also fixed whole bunch more crashes and wrong >> result issues (crashes on QR, uninitialized data use in dgemm, ...). >> None of the fixes received unit tests, so I am somewhat pessimistic that >> it will improve, especially as the maintainer is dissertating (is that >> the right word?) and most of the code is assembler code only few people >> can write (it is simply not required anymore, we have code generators >> and intrinsics for that). >> >> Openblas is great if you do not have the patience to build ATLAS and >> only use a restricted set of functionality and platforms you can easily >> test. >> Currently it is in my opinion not suitable for a general purpose library >> like numpy. > > Those problems you list are pretty damning, but neither is it > reasonable to expect everyone to manually build ATLAS on every machine > they use (or their students use, or...) :-(. So what other options do > we have for general purpose builds? Give up and use MKL? How's > eigen-blas doing these days? (I guess from skimming their docs they > use OpenMP?)
I see it should be possible to build a full blas and partial lapack library with eigen [1] [2]. Does anyone know how their performance compares to MKL or the reference implementations? Carl - have you tried building eigen with your custom tool chain? Cheers, Matthew [1] http://eigen.tuxfamily.org/index.php?title=3.0 [2] http://stackoverflow.com/questions/20441851/build-numpy-with-eigen-instead-of-atlas-or-openblas _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
