Hi, On Wed, Dec 16, 2015 at 6:34 PM, Edison Gustavo Muenz <edisongust...@gmail.com> wrote: > Sometime ago I saw this: https://software.intel.com/sites/campaigns/nest/ > > I don't know if the "community" license applies in your case though. It is > worth taking a look at. > > On Wed, Dec 16, 2015 at 4:30 PM, Francesc Alted <fal...@gmail.com> wrote: >> >> Sorry, I have to correct myself, as per: >> http://docs.continuum.io/mkl-optimizations/index it seems that Anaconda is >> not linking with MKL by default (I thought that was the case before?). >> After installing MKL (conda install mkl), I am getting: >> >> In [1]: import numpy as np >> Vendor: Continuum Analytics, Inc. >> Package: mkl >> Message: trial mode expires in 30 days >> >> In [2]: testA = np.random.randn(15000, 15000) >> >> In [3]: testb = np.random.randn(15000) >> >> 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. Cheers, Matthew _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion
