Using MacPorts Python packages in different Python

[Kamesh Krishnamurthy]

The MKL-based NumPy is around 4 times faster than the Accelerate Framework,
and is faster than Atlas as well (2-3x).

It should be possible to incorporate MKL with the NumPy/SciPy in Macports.

Intel allows free download of its MKL libraries for non-commercial use:
http://software.intel.com/en-us/articles/non-commercial-software-download/

And it also provides instructions on how to build NumPy/SciPy with the MKL
libraries:
http://software.intel.com/en-us/articles/numpy-scipy-with-mkl/

Do you think MKL can be included as a variant?

-Kamesh

On 19 April 2012 04:56, Adam Mercer <ram at macports.org> wrote:

> On Tue, Apr 17, 2012 at 14:17, Frank Schima
> <macsforever2000 at macports.org> wrote:
> > py-numpy and py-scipy have atlas variants which use the atlas port
> instead
> > of the Accelerate framework. The atlas port does tune to your processor.
> > Have you tried that? I have Cc'ed Adam, the maintainer of these ports,
> if he
> > could comment on their performance with the atlas variant? Maybe the
> Intel
> > MKL libraries could be added as a variant?
>
> Personally I don't use the atlas variant as I've found it causes a lot
> of build problems. I find the Accelerate framework fast enough for my
> needs, but my codes aren't that processor intensive. If someone wanted
> to add an MKL variant I'd be willing to accept it providing they were
> willing to support it.
>
> Cheers
>
> Adam
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