> Am 31.05.2016 um 23:36 schrieb Sturla Molden <sturla.mol...@gmail.com>: > > Joseph Martinot-Lagarde <contreba...@gmail.com> wrote: > >> The problem with FFTW is that its license is more restrictive (GPL), and >> because of this may not be suitable everywhere numpy.fft is. > > A lot of us use NumPy linked with MKL or Accelerate, both of which have > some really nifty FFTs. And the license issue is hardly any worse than > linking with them for BLAS and LAPACK, which we do anyway. We could extend > numpy.fft to use MKL or Accelerate when they are available.
It seems the anaconda numpy binaries do already use MKL for fft: In [2]: np.fft.using_mklfft Out[2]: True Is this based on a proprietary patch of numpy? Gregor > > Sturla > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > https://mail.scipy.org/mailman/listinfo/numpy-discussion _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion
