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FFT performance using NumPy, PyFFTW, and cuFFT - John Parker On the right is the speed increase of the cuFFT implementation relative to the NumPy and PyFFTW implementations For the largest images, cuFFT is an order of magnitude faster than PyFFTW and two orders of magnitude faster than NumPy
pyvkfft·PyPI vkFFT throughput is similar to cuFFT up to N=1024 For N>1024 vkFFT is much more efficient than cuFFT due to the smaller number of read and write per FFT axis (apart from isolated radix-2 3 sizes) the OpenCL and CUDA backends of vkFFT perform similarly, though there are ranges where CUDA performs better, due to different cache
VkFFT 项目常见问题解决方案 - CSDN博客 VkFFT 是一个高效的 GPU 加速多维快速傅里叶变换（FFT）的开源库，支持 Vulkan、 CUDA 、HIP、OpenCL、Level Zero 和 Metal 等多种后端。 该项目的目标是提供一种开源的替代方案，以超越 Nvidia 的 cuFFT 库的性能。 VkFFT 采用 C 语言编写，适用于需要 FFT 功能的各类项目。
VkFFT-Vulkan-1d-2d-3d README. md at master - GitHub VkFFT aims to provide the community with an open-source alternative to Nvidia's cuFFT library while achieving better performance VkFFT is written in C language and supports Vulkan, CUDA, HIP, OpenCL, Level Zero and Metal as backends