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matrixMulCUBLAS - Matrix Multiplication (CUBLAS)

Description

This sample implements matrix multiplication from Chapter 3 of the programming guide. To illustrate GPU performance for matrix multiply, this sample also shows how to use the new CUDA 4.0 interface for CUBLAS to demonstrate high-performance performance for matrix multiplication.

Key Concepts

CUDA Runtime API, Performance Strategies, Linear Algebra, CUBLAS

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

cudaMemcpy, cudaFree, cudaEventSynchronize, cudaEventRecord, cudaMalloc, cudaEventElapsedTime, cudaGetDeviceProperties, cudaEventCreate

Dependencies needed to build/run

CUBLAS

Prerequisites

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

References (for more details)