Abstract: Aiming at the problem of weak invisible dot matrix data being interfered by the background in the process of reading, which leads to the accuracy and slow speed of the reading algorithm, and ...

Sparse matrix-matrix multiplication (SpMM) is a crucial kernel in various applications, including sparse deep neural networks [1]–[6], graph analytics [7], triangle counting [8], and linear algebra ...