VkFFTCUDA.jl

Julia bindings for VkFFT.

⚠️ WARNING: These bindings are very barebones and do not fully implement all the functionality exposed by VkFFT. These bindings only expose multidimensional C2C FFTs so far.

using Pkg
Pkg.add("VkFFTCUDA")
Pkg.build("VkFFTCUDA")

For now, note that you must build VkFFTCUDA. You will also need to install the CUDA toolkit.

This package allows you to do FFTs on CuArrays using VkFFT instead of cuFFT. This can result in significant speed-ups:

using CUDA, AbstractFFTs, VkFFTCUDA

x = CuArray(ComplexF32.(collect(reshape(1:60, 3, 4, 5))))
ifft(fft(x)) ≈ x # Should return true

⚠️ It is very important that you load VkFFTCUDA after CUDA because VkFFTCUDA.jl overwrites some methods provided by CUDA.jl

For further documentation, refer to the documentation for AbstractFFTs.jl as VkFFTCUDA.jl uses this API.

For arrays with more than 4 dimensions, doing FFTs on more than one of the axes will lead to erroneous results. This is not a problem with VkFFT, but rather with the bindings that will be fixed soon™.