Hi, On Mon, Oct 27, 2014 at 8:07 PM, Sturla Molden <sturla.mol...@gmail.com> wrote: > Sturla Molden <sturla.mol...@gmail.com> wrote: > >> If we really need a >> kick-ass fast FFT we need to go to libraries like FFTW, Intel MKL or >> Apple's Accelerate Framework, > > I should perhaps also mention FFTS here, which claim to be faster than FFTW > and has a BSD licence: > > http://anthonix.com/ffts/index.html
Nice. And a funny New Zealand name too. Is this an option for us? Aren't we a little behind the performance curve on FFT after we lost FFTW? Matthew _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
