Samples for CUDA Developers which demonstrates features in CUDA Toolkit
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README.md

postProcessGL - Post-Process in OpenGL

Description

This sample shows how to post-process an image rendered in OpenGL using CUDA.

Key Concepts

Graphics Interop, Image Processing

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

cudaHostAlloc, cudaGraphicsUnmapResources, cudaMalloc, cudaFree, cudaGetChannelDesc, cudaGraphicsResourceGetMappedPointer, cudaGraphicsMapResources, cudaDestroyTextureObject, cudaMemcpyToArray, cudaDeviceSynchronize, cudaCreateTextureObject, cudaProcess, cudaGraphicsUnregisterResource, cudaGraphicsSubResourceGetMappedArray, cudaGraphicsGLRegisterBuffer, cudaGraphicsGLRegisterImage

Dependencies needed to build/run

X11, GL

Prerequisites

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

References (for more details)