On 16 Dec 2015, at 8:22 PM, Matthew Brett <matthew.br...@gmail.com> wrote: > >>> In [4]: %time testx = np.linalg.solve(testA, testb) >>> CPU times: user 1min, sys: 468 ms, total: 1min 1s >>> Wall time: 15.3 s >>> >>> >>> so, it looks like you will need to buy a MKL license separately (which >>> makes sense for a commercial product). > > If you're on a recent Mac, I would guess that the default > Accelerate-linked numpy / scipy will be in the same performance range > as those linked to the MKL, but I am happy to be corrected. > Getting around 30 s wall time here on a not so recent 4-core iMac, so that would seem to fit (iirc Accelerate should actually largely be using the same machine code as MKL).
Cheers, Derek _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion