The field of linear algebra is fundamental to many areas of science and engineering, and the quest for accurate computation methods has gained increasing importance in recent years. Recent advances ...

Over the last few years the idea of “conditional computation” has been key to making neural network processing more efficient, even though much of the hardware ecosystem has focused on general purpose ...

Sparse matrix computations are pivotal to advancing high-performance scientific applications, particularly as modern numerical simulations and data analyses demand efficient management of large, ...