On 07/04/15 02:19, Matthew Brett wrote: > ATLAS compiled with gcc also gives us some more license complication: > > http://numpy-discussion.10968.n7.nabble.com/Copyright-status-of-NumPy-binaries-on-Windows-OS-X-tp38793p38824.html
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. Sturla _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
