conjugateGradientMultiBlockCG

conjugateGradientMultiBlockCG - conjugateGradient using MultiBlock Cooperative Groups

Description

This sample implements a conjugate gradient solver on GPU using Multi Block Cooperative Groups, also uses Unified Memory.

Key Concepts

Unified Memory, Linear Algebra, Cooperative Groups, MultiBlock Cooperative Groups, CUBLAS Library, CUSPARSE Library

Supported SM Architectures

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, aarch64

CUDA APIs involved

CUDA Runtime API

cudaFree, cudaMallocManaged, cudaDeviceSynchronize, cudaEventRecord, cudaLaunchCooperativeKernel, cudaEventDestroy, cudaEventElapsedTime, cudaOccupancyMaxActiveBlocksPerMultiprocessor, cudaGetDeviceProperties, cudaEventCreate

Dependencies needed to build/run

UVM, MBCG

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)