[Numpy-discussion] MKL and OpenBLAS

Carl Kleffner cmkleffner at gmail.com
Mon Jan 27 06:01:46 EST 2014

Did you consider to check the experimental binaries on
https://code.google.com/p/mingw-w64-static/ for Python-2.7? These binaries
has been build with with a customized mingw-w64 toolchain. These builds are
fully statically build and are link against the MSVC90 runtime libraries
(gcc runtime is linked statically) and OpenBLAS.


2014-01-26 Pauli Virtanen <pav at iki.fi>

> 26.01.2014 14:44, Dinesh Vadhia kirjoitti:
> > This conversation gets discussed often with Numpy developers but
> > since the requirement for optimized Blas is pretty common these
> > days, how about distributing Numpy with OpenBlas by default? People
> > who don't want optimized BLAS or OpenBLAS can then edit the
> > site.cfg file to add/remove.  I can never remember if Numpy comes
> > with Atlas by default but either way, if using MKL is not feasible
> > because of its licensing issues then Numpy has to be re-compiled
> > with OpenBLAS (for example).  Why not make it easier for developers
> > to use Numpy with an in-built optimized Blas.
> The Numpy Windows binaries distributed in the numpy project at
> sourceforge.net are compiled with ATLAS, which should count as an
> optimized BLAS. I don't recall what's the situation with OSX binaries,
> but I'd believe they're with Atlas too.
> If you are suggesting bundling OpenBLAS with Numpy source releases ---
> arguments against:
> OpenBLAS is big, and still rapidly moving. Moreover, bundling it with
> Numpy does not really make it any easier to build.
> --
> Pauli Virtanen
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