On Thu, Dec 11, 2014 at 4:55 PM, Robert Kern <robert.k...@gmail.com> wrote:
> On Thu, Dec 11, 2014 at 3:53 PM, Eric Moore <e...@redtetrahedron.org> > wrote: > > > > On Thu, Dec 11, 2014 at 10:41 AM, Todd <toddr...@gmail.com> wrote: > > >> I recently became aware of another C-library for doing FFTs (and other > things): > >> > >> https://github.com/arrayfire/arrayfire > >> > >> They claim to have comparable FFT performance to MKL when run on a CPU > (they also support running on the GPU but that is probably outside the > scope of numpy or scipy). It used to be proprietary but now it is under a > BSD-3-Clause license. It seems it supports non-power-of-2 FFT operations > as well (although those are slower). I don't know much beyond that, but it > is probably worth looking in > > > > AFAICT the cpu backend is a FFTW wrapper. > > Indeed. > https://github.com/arrayfire/arrayfire/blob/devel/src/backend/cpu/fft.cpp#L16 > Oh, nevermind then.
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