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

It might not sound impressive, but Strassen’s method showed it’s possible to beat long-held standards of operations—that is, algorithms—for matrix multiplication. His approach, the Strassen algorithm, ...

So if you do 32x32 with the naive algorithm, and 64x64 with strassen, you save ONE n^3 matrix multiplication and lose EIGHTEEN n^2 matrix additions with n = 32 for a massive overall saving.

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 ...

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 ...

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