Abstract: To address the von Neumann bottleneck that leads to both energy and speed degradations, in-memory processing architectures have been proposed as a promising alternative for future computing ...

Abstract: Exploiting spatial and temporal localities is investigated for efficient row-by-row parallelization of general sparse matrix-matrix multiplication (SpGEMM) operation of the form C=AB on many ...