These algorithms for multiplying small matrices can be used as primitives to multiply much larger matrices of arbitrary size. AlphaTensor has led to the discovery of a diverse set of algorithms with ...

Classic matrix multiplication: The standard algorithm for multiplying two matrices using nested loops. Naive divide-and-conquer: A recursive algorithm that divides the matrices into smaller ...

Inspired by the outstanding paper "AlphaTensor: Discovering faster matrix multiplication algorithms with reinforcement learning", in this repo I used pyomo library and IPOPT optimizer to solve the ...

A new research paper titled “Discovering faster matrix multiplication algorithms with reinforcement learning” was published by researchers at DeepMind. “Here we report a deep reinforcement learning ...

Since Volker Strassen proposed a recursive matrix multiplication algorithm reducing the time complexity to n2.81 in 1968, many scholars have done a lot of research on this basis. In recent years, ...