Not everyone will write their own optimizing compiler from scratch, but those who do sometimes roll into it during the course ...

Abstract: Sparse Bayesian learning (SBL) is an advanced statistical framework that dominantly enhances the sparse features of targets of interest in radar imagery. A widely adopted strategy for ...

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 ...

FIRST ON FOX: Stanford University is promoting required reading courses that incorporate anti-ICE sentiments, racial identity politics and all-male drag shows, resulting in criticism from a leading ...