Samples for CUDA Developers which demonstrates features in CUDA Toolkit

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

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README.md

EGLStream_CUDA_CrossGPU - EGLStream_CUDA_CrossGPU

Description

Demonstrates CUDA and EGL Streams interop, where consumer's EGL Stream is on one GPU and producer's on other and both consumer-producer are different processes.

Key Concepts

EGLStreams Interop

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

Supported CPU Architecture

x86_64, armv7l

CUDA APIs involved

CUDA Driver API

cuDeviceGetName, cuEGLStreamConsumerReleaseFrame, cuEGLStreamConsumerConnect, cuEGLStreamConsumerDisconnect, cuCtxPushCurrent, cuEGLStreamProducerReturnFrame, cuStreamCreate, cuEGLStreamProducerPresentFrame, cuMemFree, cuGraphicsResourceGetMappedEglFrame, cuInit, cuMemcpyHtoD, cuDeviceGet, cuEGLStreamConsumerAcquireFrame, cuEGLStreamProducerDisconnect, cuEGLStreamProducerConnect, cuDeviceGetAttribute, cuCtxSynchronize, cuMemAlloc, cuCtxPopCurrent, cuCtxCreate

CUDA Runtime API

cudaMemcpy, cudaMalloc, cudaProducerPresentFrame, cudaFree, cudaGetErrorString, cudaConsumerReleaseFrame, cudaProducerReturnFrame, cudaDeviceSynchronize, cudaDeviceCreateProducer, cudaProducerDeinit, cudaProducerPrepareFrame, cudaGetValueMismatch, cudaConsumerAcquireFrame, cudaProducerInit, cudaDeviceCreateConsumer

Dependencies needed to build/run

EGL

Prerequisites

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