PSCNN: A 885.86 TOPS/W Programmable SRAM-based Computing-In-Memory Processor for Keyword Spotting. (arXiv:2205.01569v1 [cs.AR])

Computing-in-memory (CIM) has attracted significant attentions in recent
years due to its massive parallelism and low power consumption. However,
current CIM designs suffer from large area overhead of small CIM macros and bad
programmablity for model execution. This paper proposes a programmable CIM
processor with a single large sized CIM macro instead of multiple smaller ones
for power efficient computation and a flexible instruction set to support
various binary 1-D convolution Neural Network (CNN) models in an easy way.
Furthermore, …

ar arxiv computing memory processor