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

p2pBandwidthLatencyTest - Peer-to-Peer Bandwidth Latency Test with Multi-GPUs

Description

This application demonstrates the CUDA Peer-To-Peer (P2P) data transfers between pairs of GPUs and computes latency and bandwidth. Tests on GPU pairs using P2P and without P2P are tested.

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, armv7l

CUDA APIs involved

CUDA Runtime API

cudaSetDevice, cudaEventDestroy, cudaOccupancyMaxPotentialBlockSize, cudaCheckError, cudaFreeHost, cudaGetDeviceCount, cudaDeviceCanAccessPeer, cudaStreamCreateWithFlags, cudaStreamDestroy, cudaGetLastError, cudaMemset, cudaStreamWaitEvent, cudaEventElapsedTime, cudaEventCreate, cudaHostAlloc, cudaFree, cudaGetErrorString, cudaMemcpyPeerAsync, cudaDeviceDisablePeerAccess, cudaEventRecord, cudaStreamSynchronize, cudaDeviceEnablePeerAccess, cudaMalloc, cudaGetDeviceProperties

Prerequisites

Download and install the CUDA Toolkit for your corresponding platform.

References (for more details)