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