convolutionFFT2D - FFT-Based 2D Convolution

Description

This sample demonstrates how 2D convolutions with very large kernel sizes can be efficiently implemented using FFT transformations.

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

cudaMemcpy, cudaFree, cudaDestroyTextureObject, cudaDeviceSynchronize, cudaCreateTextureObject, cudaMemset, cudaMalloc

Dependencies needed to build/run

CUFFT

Prerequisites

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

References (for more details)