Hi,
Summary : I'm planning to upload OSX wheels for numpy and scipy using the ATLAS blas / lapack library instead of the default OSX Accelerate framework.
We've run into some trouble with a segfault in recent OSX Accelerate:
https://github.com/numpy/numpy/issues/4007
and Accelerate also doesn't play well with multiprocessing.
https://github.com/numpy/numpy/issues/4776
Because there's nothing I love more than half-day compilation runs on my laptop, I've built ATLAS binaries with gcc 4.8, and linked numpy and scipy to them to make OSX wheels. These pass all tests in i386 and x86_64 mode, including numpy, scipy, matplotlib, pandas:
https://travis-ci.org/matthew-brett/scipy-stack-osx-testing/builds/27442987
The build process needs some automating, but it's recorded here:
https://github.com/matthew-brett/numpy-atlas-binaries
It's possible to get travis-ci to build these guys from a bare machine and then upload them somewhere, but I haven't tried to do that.
Meanwhile Sturla kindly worked up a patch to numpy to work round the Accelerate segfault [1]. I haven't tested that, but given I'd already built the wheels, I prefer the ATLAS builds because they work with multiprocessing.
I propose uploading these wheels as the default for numpy and scipy. Does anyone have any objection or comments before I go ahead and do that?
Cheers,
Matthew
[1] http://mail.scipy.org/pipermail/numpy-discussion/2014-June/070333.html