DTolm/VkFFT

Health v2 · maintenance only

Adoption not part of the score

1769 stars · 142 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

VkFFT is an open-source, GPU-accelerated multidimensional Fast Fourier Transform library supporting Vulkan, CUDA, HIP, OpenCL, Level Zero, and Metal backends. It aims to match or exceed cuFFT performance while remaining vendor-neutral and MIT-licensed.

Use cases

• gpu-accelerated fft library as cuFFT alternative
• compute ffts on vulkan compute shaders
• fast convolution on gpu for image processing
• real-to-complex and dct transforms on gpu
• cross-vendor gpu fft for hip and opencl
• large multidimensional fft for hpc simulations

When to choose

• you need FFTs across multiple GPU vendors, not just NVIDIA
• you want an open-source cuFFT replacement with competitive performance
• you need R2C/C2R/R2R transforms, convolutions, or zero padding fused into the FFT
• you work in Vulkan, HIP, OpenCL, Level Zero, or Metal compute

When to avoid

• you only need CPU-based FFTs (use FFTW or similar)
• you want a high-level turnkey application rather than a C/C++ library to integrate
• your project is locked into a vendor library ecosystem and migration cost outweighs gains

Facets

library · maturity active

math gpu-computing image-processing benchmarking gpu-computing performance graphics simulation cpp cross-platform windows fft vulkan cuda hip opencl metal level-zero convolution dct hpc signal-processing algorithms gpu linux macos

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