Matrix

The Matrix Multiplication Benchmark compares the performance of matrix multiplication between Python and Cython implementations. Matrix multiplication is a fundamental operation in linear algebra and is often used in various computational tasks.

This benchmark measures the execution time of multiplying two matrices of a specified size using both Python and Cython implementations. By comparing the execution times, we can determine which implementation performs matrix multiplication more efficiently.

The benchmark utilizes NumPy for matrix operations and Cython for optimizing the Cython implementation. It generates random matrices, performs matrix multiplication using the Python and Cython functions, and calculates the speedup percentage to demonstrate the performance improvement achieved by Cython.

By running this benchmark, you can gain insights into the performance differences between Python and Cython when it comes to matrix multiplication tasks. It helps identify the potential speedup that Cython can provide and evaluate the efficiency of the implementations for various matrix sizes.