Editorial for the special issue on architecture,algorithms and applications of high performance sparse matrix computations
摘要
Sparse matrix operations are widely used in computational science and engineering applications such as quantum chemistry and finite element analysis,as well as modern machine learning scenarios such as social network and compressed deep neural networks.The University of California,Berkeley in the famous article‘A View of the Parallel Computing Landscape’,Asanovic et al.
