Hello, I am the author of VkFFT, Tolmachev Dmitrii.
I remember VkFFT got a lot of initial traction thanks to Hacker News three years ago. Back then VkFFT was a simple collection of pre-made shaders for powers of two FFTs.
Nowadays it is based on the runtime code generation and optimization platform that supports all the mentioned backends, has a wide range of implemented algorithms (some of which are not even present in other codes) to cover all system sizes and can do things no other GPU FFT library can so far (like real to real transforms, arbitrary dimensional transforms, zero-padding, convolutions and more).
If you have some questions about the library, design choices, functionality or anything else - I will be happy to answer them!
The white paper of VkFFT is out. It can be interesting to people who want to know more about performant GPU algorithms in HPC and how VkFFT is designed.
VkFFT is an efficient GPU-accelerated multidimensional Fast Fourier Transform library for Vulkan/CUDA/HIP/OpenCL/Level Zero and Metal projects. VkFFT aims to provide the community with a cross-platform open-source alternative to vendor-specific solutions while achieving comparable or better performance.
I remember VkFFT got a lot of initial traction thanks to Hacker News three years ago. Back then VkFFT was a simple collection of pre-made shaders for powers of two FFTs.
Nowadays it is based on the runtime code generation and optimization platform that supports all the mentioned backends, has a wide range of implemented algorithms (some of which are not even present in other codes) to cover all system sizes and can do things no other GPU FFT library can so far (like real to real transforms, arbitrary dimensional transforms, zero-padding, convolutions and more).
If you have some questions about the library, design choices, functionality or anything else - I will be happy to answer them!