Example of using CUFFT. In this example, CUFFT is used to compute the 2D-convolution of some signal with some filter by transforming both into frequency domain, multiplying them together, and transforming the signal back to time domain on Multiple GPU.

Key Concepts

Image Processing, CUFFT Library

Supported SM Architectures

SM 5.0 SM 5.2 SM 5.3 SM 6.0 SM 6.1 SM 7.0 SM 7.2 SM 7.5 SM 8.0 SM 8.6 SM 8.7 SM 8.9 SM 9.0

Supported OSes

Linux, Windows

Supported CPU Architecture

x86_64, armv7l

CUDA APIs involved

CUDA Runtime API

cudaXtFree, cudaMemcpy, cudaFree, cudaSetDevice, cudaGetDeviceCount, cudaDeviceSynchronize, cudaMalloc, cudaGetDeviceProperties

Dependencies needed to build/run

CUFFT

Prerequisites

Download and install the CUDA Toolkit 12.5 for your corresponding platform. Make sure the dependencies mentioned in Dependencies section above are installed.

README.md

simpleCUFFT_2d_MGPU - SimpleCUFFT_2d_MGPU

Description