Samples for CUDA Developers which demonstrates features in CUDA Toolkit

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

Rob Armstrong 14b1bfdcc4 Replace README references to "CUDA Toolkit 12.5" with general "CUDA Toolkit"		2 months ago
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.vscode	add and update samples for CUDA 11.6	4 years ago
CMakeLists.txt	Update all sample CMakeLists.txt to include ENABLE_CUDA_DEBUG flag to enable cuda-gdb	3 months ago
README.md	Replace README references to "CUDA Toolkit 12.5" with general "CUDA Toolkit"	2 months ago
memMapIpc.cpp	Bug 5207005: Append pid in shmName for Linux only as this is for MIG scenario	3 months ago
memMapIpc_kernel.cu	add and update samples for CUDA 11.6	4 years ago

README.md

memMapIPCDrv - Memmap IPC Driver API

Description

This CUDA Driver API sample is a very basic sample that demonstrates Inter Process Communication using cuMemMap APIs with one process per GPU for computation. Requires Compute Capability 3.0 or higher and a Linux Operating System, or a Windows Operating System

Key Concepts

CUDA Driver API, cuMemMap IPC, MMAP

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, QNX

Supported CPU Architecture

x86_64, armv7l, aarch64

CUDA APIs involved

CUDA Driver API

cuDeviceCanAccessPeer, cuMemImportFromShareableHandle, cuModuleLoadDataEx, cuModuleGetFunction, cuMemSetAccess, cuModuleLoad, cuStreamCreate, cuMemRelease, cuInit, cuLaunchKernel, cuMemcpyDtoHAsync, cuMemCreate, cuDeviceGet, cuCtxDestroy, cuDeviceGetCount, cuMemMap, cuMemExportToShareableHandle, cuStreamSynchronize, cuCtxEnablePeerAccess, cuDeviceGetAttribute, cuOccupancyMaxActiveBlocksPerMultiprocessor, cuCtxSetCurrent, cuMemGetAllocationGranularity, cuMemAddressFree, cuMemUnmap, cuCtxCreate, cuStreamDestroy, cuMemAddressReserve

Dependencies needed to build/run

IPC

Prerequisites

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