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
Prerequisites
Download and install the CUDA Toolkit 12.5 for your corresponding platform. Make sure the dependencies mentioned in Dependencies section above are installed.