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 ...

AMD and Intel have now published a full technical specification for ACE — AI Compute Extensions — the most significant overhaul to x86 AI compute in the architecture's history, co-authored by eight ...