Generalised vectorisation for sparse matrix

Abstract

This work generalises the various ways in which a sparse matrix--vector (SpMV) multiplication can be vectorised. It arrives at a novel data structure that generalises three earlier well-known data structures for sparse computations: the Blocked CRS format, the (sliced) ELLPACK format, and segmented scan based formats.