[Numpy-discussion] OS X wheels: speed versus multiprocessing
sturla.molden at gmail.com
Mon Apr 6 20:41:49 EDT 2015
On 07/04/15 02:19, Matthew Brett wrote:
> ATLAS compiled with gcc also gives us some more license complication:
Ok, then I have a question regarding OpenBLAS:
Do we use the f2c'd lapack_lite or do we build LAPACK with gfortran and
link into OpenBLAS? In the latter case we might get the libquadmath
linked into the OpenBLAS binary as well.
> I agree that big slowdowns would be dangerous for numpy's reputation.
> Sturla - do you have a citable source for your factor of 20 figure?
I will look it up. The best thing would be to do a new benchmark though.
Another thing is it depends on the hardware. ATLAS is not very scalable
on multiple processors, so it will be worse on a Mac Pro than a Macbook.
It will also we worse with AVX than without.
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