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

Sparse matrix computations are prevalent in many scientific and technical applications. In many simulation applications, the solving of the sparse matrix-vector multiplication (SpMV) is critical for ...

Chip startups come and go. Generally, we cover them because of novel architectures or potential for specific applications. But in some cases, like today, it is for those reasons and because of the ...