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

Graphics processing units (GPUs) perform matrix multiplication tasks due to their ability to handle many calculations simultaneously. They break large matrix problems into smaller segments and solve ...

In getting rid of matrix multiplication and running their algorithm on custom hardware, the researchers found that they could power a billion-parameter-scale language model on just 13 watts, about ...