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

Matrix multiplication is at the heart of many machine learning breakthroughs, and it just got faster—twice. Last week, DeepMind announced it discovered a more efficient way to perform matrix ...

And in most cases, these libraries ultimately call an optimized version of the Basic Linear Algebra Subroutine (BLAS) library DGEMM (Double-precision GEneral Matrix Multiplication). Developers have ...