Matrix Multiplication with Shared Vector Simulation

This C++ project simulates matrix multiplication with a shared vector, showcasing the principles of parallel computing and shared memory utilization.

Overview

Matrix multiplication is a fundamental operation in linear algebra and computational mathematics. This project demonstrates how matrix multiplication can be parallelized using shared memory techniques, specifically with the utilization of a shared vector for efficient computation.

Features

• Parallel Matrix Multiplication: Utilizes parallel computing techniques to speed up matrix multiplication.
• Shared Vector Simulation: Implements a shared vector to efficiently store and access data during computation.
• Performance Analysis: Includes performance analysis to evaluate the speedup achieved through parallelization.