Sparse matrix-matrix multiplication (SpMM) is a crucial kernel in various applications, including sparse deep neural networks [1]–[6], graph analytics [7], triangle counting [8], and linear algebra ...

Welcome to Broadcom Inc.'s First Quarter Fiscal Year 2026 Financial Results Conference Call. At this time, for opening remarks and introductions, I would like to turn the call over to Ji Yoo, Head of ...

Abstract: Matrix operators are fundamental to various applications, particularly in deep learning. While early models relied on dense operations, techniques like pruning have introduced sparsity, ...

Plasma-based accelerators use plasmas to increase the kinetic energy of charged particles such as electrons, protons, and ions. Plasma-based accelerators usually use laser-produced plasmas in which ...