Het gaat daarbij specifiek om een implementatie van het Strassen-algoritme uit 1969. Dat algoritme is momenteel de beste manier om matrix multiplication op grote matrices uit te voeren.

The ' Strassen's algorithm ' announced in 1969 is widely known as an algorithm for calculating the matrix product at high speed.

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

Researchers at MIT's Computer Science & Artificial Intelligence Lab (CSAIL) have open-sourced Multiply-ADDitioN-lESS (MADDNESS), an algorithm that speeds up machine learning using approximate ...

What do encrypted messages, recognizing speech commands and running simulations to predict the weather have in common? They all rely on matrix multiplication for accurate calculations. DeepMind, an ...

Prior implementations of Strassen's matrix multiplication algorithm on GPUs traded additional workspace in the form of global memory or registers for time. Although Strassen's algorithm offers a ...