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
