On Dec 10, 2007 6:48 AM, David Cournapeau <david@ar.media.kyoto-u.ac.jp> wrote:
Hi,
Several people reported problems with numpy 1.0.4 (See #627 and #628, but also other problems mentionned on the ML, which I cannot find). They were all solved, as far as I know, by a binary I produced (simply using mingw + netlib BLAS/LAPACK, no ATLAS). Maybe it would be good to use those instead ? (I can recompile them if there is a special thing to do to build them)
Do I understand correctly that you are suggesting removing ATLAS from the Windows distribution? Wouldn't this make numpy very slow? I know on RHEL5 I see a very large improvement between the basic BLAS/LAPACK and ATLAS. Perhaps we should make an alternative Windows binary available without ATLAS just for those having problems with ATLAS? If you care about speed, then you should compile your own atlas anyway. I don't quite understand the discussion about speed: BLAS/LAPACK is really slower for relatively big sizes, which many
On Dec 10, 2007 10:59 PM, Alexander Michael <lxander.m@gmail.com> wrote: people do not use. And more important, a non working, crashing, fast BLAS is much slower than a working one :) We could propose two versions, but that just makes things more complicated: on average, people using windows are less inclined to try to understand why things do not work, and when your numpy crashes, it is not obvious that ATLAS is involved (we still do not know the exact problem). David