Matrix multiplication benchmark

This repository contains the source code for a simple CUDA benchmark. It demonstrates the performance differences between CPU (Single-threaded), CPU (Multi-threaded with OpenMP), and GPU (CUDA) implementations of matrix multiplication.

How to build and run?

Requirements

• NVIDIA GPU with CUDA support
• CUDA Toolkit (NVCC)
• C++ compiler with OpenMP support
• CMake (version 3.20 or higher)

Build instructions

In this project CMake is used for automatic setup for your GPU.

1. Clone repository

git clone https://github.com/andrvolkov013/MatrixMultiplicationBench.git
cd MatrixMultiplicationBench

2. Create directory for build

mkdir build
cd build

3. Configuration and compilation

For Windows:

cmake ..
cmake --build . --config Release

For Linux:

cmake -DCMAKE_BUILD_TYPE=Release ..
cmake --build .

4. Run benchmark

For Windows:

.\Release\MatrixMultiplicationBench.exe

For Linux:

./MatrixMultiplicationBench