Researchers continually refine algorithms to exploit modern processor architectures, enhancing performance through strategies such as blocking, vectorisation, and architecture-specific tuning.

The algorithm is able to re-discover older matrix multiplication algorithms and improve upon its own to discover newer and faster algorithms. “AlphaTensor is the first AI system for discovering novel, ...

High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning. Researchers ...