parallematx 1.0.2

Parallel Matrix Multiplication with ProcessPoolExecutor

ParallelMatX

This project is developed as part of the 240-123 Data Structure Algorithm and Programming Module in my concurrency assignment

Overview

ParallelMatX is an open-source Python library designed for parallel matrix multiplication.

It utilizes parallel processing techniques to optimize performance, competible with large-scale matrix computation

Getting Started

Installation

To install ParallelMatX, use pip:

pip install parallematx==1.0

Usage Example

Here's a basic example demonstrating how to use ParallelMatX for parallel matrix multiplication:

import parallelmatx
import numpy as np

if __name__ == "__main__": # Need main to run parallel
    A = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
    B = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])

    result = parallelmatx.cross_product(A, B)
    print("Result:\n", result)

How It Works

Benchmarking