This version of the cuFFT library supports the following features:Īlgorithms highly optimized for input sizes that can be written in the form \(2^ 2.1. The cuFFT product supports a wide range of FFT inputs and options efficiently on NVIDIA GPUs. The cuFFT library provides a simple interface for computing FFTs on an NVIDIA GPU, which allows users to quickly leverage the floating-point power and parallelism of the GPU in a highly optimized and tested FFT library. It is one of the most important and widely used numerical algorithms in computational physics and general signal processing. The FFT is a divide-and-conquer algorithm for efficiently computing discrete Fourier transforms of complex or real-valued data sets. The cuFFTW library is provided as a porting tool to enable users of FFTW to start using NVIDIA GPUs with a minimum amount of effort. The cuFFT library is designed to provide high performance on NVIDIA GPUs. ![]() It consists of two separate libraries: cuFFT and cuFFTW. ![]() ![]() This document describes cuFFT, the NVIDIA® CUDA® Fast Fourier Transform (FFT) product. The API reference guide for cuFFT, the CUDA Fast Fourier Transform library.
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