[Numpy-discussion] MKL and OpenBLAS
cmkleffner at gmail.com
Thu Jan 30 07:29:45 EST 2014
I fully agree with you. But you have to consider the following:
- the officially mingw-w64 toolchains are build almost the same way. The
only difference is, that they have non-static builds (that would be
preferable for C++ development BTW)
- you won't get the necessary addons like spec-files, manifest resource
files for msvcr90,100 from there.
- there is a urgent need for a free and portable C,C++, Fortran compiler
for Windows with full blas, lapack support. You won't get that with
numpy-MKL, but with a GNU toolchain and OpenBLAS. Not everyone can buy the
Intel Fortran compiler or is allowed to install it.
- you can build 3rd party extensions which use blas,lapack directly or with
cython with such a toolchain regardless if you use numpy/scipy-MKL or
- The licence question of numpy-MKL is unclear. I know that MKL is linked
in statically. But can I redistribite it myself or use it in commercial
context without buying a Intel licence?
2014-01-30 Sturla Molden <sturla.molden at gmail.com>:
> On 30/01/14 12:01, Carl Kleffner wrote:
> > My conclusion is: mixing different compiler architectures for building
> > Python extensions on Windows is possible but makes it necessary to build
> > a 'vendor' gcc toolchain.
> This makes a nice twist on the infamous XML and Regex story:
> - There once was a man who had a problem building NumPy. Then he
> thought, "I'll just use a custom compiler toolchain." Now he had two
> Setting up a custom GNU toolchain for NumPy on Windows would not be
> robust enough. And when there be bugs, we have two places to look for
> them instead of one.
> By using a tested and verified compiler toolchain, there is one place
> less things can go wrong. I would rather consider distributing NumPy
> binaries linked with MKL, if Intel's license allows it.
> NumPy-Discussion mailing list
> NumPy-Discussion at scipy.org
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