In the input directory one can find some input examples that follow the next specifications: First, there is a string that defines which algorithm is to be used (os, bl, dv or st) Then, there is a int ...

This Java application implements three different algorithms for matrix multiplication: classic, naive divide-and-conquer, and Strassen's algorithm. The user can choose which algorithm to use and the ...

Matrix multiplication requires that the number of columns (p) in the left matrix (A) equal the number of rows (p) in the right matrix (B). Otherwise, this algorithm won’t work.

Matrix multiplication is a common operation in many algorithms, but it can be costly in terms of time and space complexity. How can you use the master theorem to simplify the analysis of ...

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 ...

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

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, ...

In fact, fast matrix multiplication algorithms with smaller exponent than Strassen’s in their computational complexity require even less communication. I’ll talk about recent development in ...