Abstract: Sparse general matrix multiplication (SpGEMM) is a fundamental building block for many real-world applications. Since SpGEMM is a well-known memory-bounded application with vast and ...

Billy Goldfeder shares the facets of fireground operations at a fire that threatened a succession of stores to minimize firefighter risk. Originally, the original fire store was thought to be ordinary ...

Abstract: Sparse matrix-vector multiplication (SpMV) is a fundamental operation in machine learning, scientific computing, and graph algorithms. In this paper, we investigate the space, time, and ...