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
..
.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	4 months ago
README.md	Replace README references to "CUDA Toolkit 12.5" with general "CUDA Toolkit"	2 months ago
conjugateGradientCudaGraphs.cu	Apply consistent code formatting across the repo. Add clang-format and pre-commit hooks.	3 months ago

README.md

conjugateGradientCudaGraphs - Conjugate Gradient using Cuda Graphs

Description

This sample implements a conjugate gradient solver on GPU using CUBLAS and CUSPARSE library calls captured and called using CUDA Graph APIs.

Key Concepts

Linear Algebra, CUBLAS Library, CUSPARSE Library

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

cudaGraphInstantiate, cudaStreamDestroy, cudaStreamBeginCapture, cudaFree, cudaMallocHost, cudaStreamEndCapture, cudaGraphDestroy, cudaFreeHost, cudaGraphLaunch, cudaStreamCreate, cudaStreamSynchronize, cudaOccupancyMaxPotentialBlockSize, cudaMalloc, cudaMemcpyAsync, cudaMemsetAsync, cudaGetDeviceProperties, cudaGraphExecDestroy

Dependencies needed to build/run

CUBLAS, CUSPARSE

Prerequisites

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