Let A be an n x m matrix, B an m x p matrix. Thus, AB is an n x p matrix. Computing the product AB takes nmp scalar multiplications n (m-1)p scalar additions for the standard matrix multiplication ...

This project benchmarks different matrix multiplication techniques in Python, comparing the performance of standard and parallelized methods.

Research from all publishers Significant advances in distributed computing have focused on coding techniques to elevate both security and efficiency in matrix multiplication tasks.

This could lead to more advanced LLMs, which rely heavily on matrix multiplication to function. According to DeepMind, these feats are just the tip of the iceberg for AlphaEvolve.

DeepMind breaks 50-year math record using AI; new record falls a week later AlphaTensor discovers better algorithms for matrix math, inspiring another improvement from afar.