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README.md
simpleMultiGPU - Simple Multi-GPU
Description
This application demonstrates how to use the new CUDA 4.0 API for CUDA context management and multi-threaded access to run CUDA kernels on multiple-GPUs.
Key Concepts
Asynchronous Data Transfers, CUDA Streams and Events, Multithreading, Multi-GPU
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
cudaStreamDestroy, cudaFree, cudaMallocHost, cudaSetDevice, cudaFreeHost, cudaStreamSynchronize, cudaMalloc, cudaMemcpyAsync, cudaStreamCreate, cudaGetDeviceCount
Prerequisites
Download and install the CUDA Toolkit for your corresponding platform.