Sparse matrix-vector multiplication (SpMV) is a crucial computing kernel with widespread
applications in iterative algorithms. Over the past decades, research on SpMV optimization …

Sparse matrix-vector multiplication (SpMV) is a fundamental operation in numerous scientific
applications, particularly in the context of graph analytics. As graph-based computations …

Sparse matrix-vector multiplication (SpMV) is a widely used computational kernel for many
applications. The performance of existing vectorization-oriented and locality-optimized …