Samples for CUDA Developers which demonstrates features in CUDA Toolkit

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

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README.md

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

X11, GL

Prerequisites

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