Parallel Computation: The rows of the matrix are divided among the available processes. Each process works on its chunk of rows, calculating the dot products with the vector. The rows of the matrix ...

Abstract: On-chip optical neural networks (ONNs) have recently emerged as an attractive hardware accelerator for deep learning applications, characterized by high computing density, low latency, and ...

Abstract: Sparse matrix-sparse vector multiplication (spMspV) is one of the key linear algebra primitives for various graph algorithms. With sparse input/output vectors, it has superiority in ...