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.

References (for more details)