As von Neumann computing architectures become increasingly constrained by data-movement overheads, researchers have started exploring in-memory computing (IMC) techniques to offset data-movement overheads.
We present a survey of 90+ papers on in-memory computing using SRAM memory. We review the use of SRAM-IMC for implementing Boolean, search and arithmetic operations, and accelerators for machine learning (especially neural networks), image processing and automata computing. Paper is here, accepted in Elsevier Journal of Systems Architecture 2021.
We present a survey of 90+ papers on in-memory computing using SRAM memory. We review the use of SRAM-IMC for implementing Boolean, search and arithmetic operations, and accelerators for machine learning (especially neural networks), image processing and automata computing. Paper is here, accepted in Elsevier Journal of Systems Architecture 2021.