Accelerating Sparse General Matrix-Matrix Multiplication for NVIDIA Volta GPU and Hygon DCU

In the ongoing efforts targeting the vectorization of linear algebra primitives, sparse matrix-matrix multiplication (SpGEMM) has received considerably less attention than sparse Matrix-Vector multiplication (SpMV). While both are equally important, ...

General sparse matrix-matrix multiplication (SpGEMM) is a fundamental building block for numerous applications such as algebraic multigrid method (AMG), breadth first search and shortest path problem. Compared to other sparse BLAS routines, an efficient ...

Many high performance computing applications require computing both sparse matrix-vector product SMVP and sparse matrix-transpose vector product SMTVP for better overall performance. Under such a circumstance, it is critical to maintain a similarly high ...