On Thu, Dec 11, 2014 at 3:53 PM, Eric Moore <ewm@redtetrahedron.org> wrote:
On Thu, Dec 11, 2014 at 10:41 AM, Todd <toddrjen@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#L1... -- Robert Kern