Samples for CUDA Developers which demonstrates features in CUDA Toolkit

cuda cuda-kernels cuda-driver-api cuda-opengl

Rob Armstrong 14b1bfdcc4 Replace README references to "CUDA Toolkit 12.5" with general "CUDA Toolkit"		2 months ago
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.vscode	add and update samples for CUDA 11.6	4 years ago
CMakeLists.txt	Update all sample CMakeLists.txt to include ENABLE_CUDA_DEBUG flag to enable cuda-gdb	4 months ago
README.md	Replace README references to "CUDA Toolkit 12.5" with general "CUDA Toolkit"	2 months ago
simpleCUFFT.cu	Apply consistent code formatting across the repo. Add clang-format and pre-commit hooks.	3 months ago

README.md

simpleCUFFT - Simple CUFFT

Description

Example of using CUFFT. In this example, CUFFT is used to compute the 1D-convolution of some signal with some filter by transforming both into frequency domain, multiplying them together, and transforming the signal back to time domain. cuFFT plans are created using simple and advanced API functions.

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, aarch64

CUDA APIs involved

CUDA Runtime API

cudaMalloc, cudaMemcpy, cudaFree

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.