Given the importance of the precise sparsity pattern, and even the actual matrix data, which decides the effective fill-in upon multiplication, the tests are performed within the CP2K package with ...

A novel AI-acceleration paper presents a method to optimize sparse matrix multiplication for machine learning models ... applications and facilitate the handling of sparse data in hardware.

Nearly all big science, machine learning, neural network, and machine vision applications employ algorithms that involve large matrix-matrix multiplication. But multiplying large matrices pushes the ...