simpleCUDA2GL - CUDA and OpenGL Interop of Images
Description
This sample shows how to copy CUDA image back to OpenGL using the most efficient methods.
Key Concepts
Graphics Interop, Image Processing, Performance Strategies
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
CUDA APIs involved
CUDA Runtime API
cudaHostAlloc, cudaGraphicsUnmapResources, cudaMalloc, cudaFree, cudaGraphicsResourceGetMappedPointer, cudaGraphicsMapResources, cudaMemcpyToArray, cudaDeviceSynchronize, cudaProcess, cudaGraphicsUnregisterResource, cudaGraphicsSubResourceGetMappedArray, cudaGraphicsGLRegisterBuffer, cudaGraphicsGLRegisterImage
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.