Samples for CUDA Developers which demonstrates features in CUDA Toolkit

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README.md

simpleP2P - Simple Peer-to-Peer Transfers with Multi-GPU

Description

This application demonstrates CUDA APIs that support Peer-To-Peer (P2P) copies, Peer-To-Peer (P2P) addressing, and Unified Virtual Memory Addressing (UVA) between multiple GPUs. In general, P2P is supported between two same GPUs with some exceptions, such as some Tesla and Quadro GPUs.

Key Concepts

Performance Strategies, Asynchronous Data Transfers, Unified Virtual Address Space, Peer to Peer Data Transfers, 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, ppc64le

CUDA APIs involved

CUDA Runtime API

cudaMemcpy, cudaMalloc, cudaFree, cudaMallocHost, cudaEventCreateWithFlags, cudaSetDevice, cudaEventSynchronize, cudaDeviceDisablePeerAccess, cudaGetDeviceCount, cudaDeviceSynchronize, cudaEventRecord, cudaFreeHost, cudaGetDeviceProperties, cudaDeviceEnablePeerAccess, cudaEventDestroy, cudaEventElapsedTime, cudaDeviceCanAccessPeer

Dependencies needed to build/run

only-64-bit

Prerequisites

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