Multi-Input Logic-in-Memory for Ultra-Low Power Non-Von Neumann Computing.

ABSTRACT: Logic-in-memory (LIM) circuits based on the material implication logic (IMPLY) and resistive random access memory (RRAM) technologies are a candidate solution for the development of ultra-low power non-von Neumann computing architectures. Such architectures could enable the energy-efficient implementation of hardware accelerators for novel edge computing paradigms such as binarized neural networks (BNNs) which rely on the execution of logic operations. In this work, we present the multi-input IMPLY operation implemented on a recently developed smart IMPLY architecture, SIMPLY, which improves the circuit reliability, reduces energy consumption, and breaks the strict design trade-offs of conventional architectures. We show that the generalization of the typical logic schemes used in LIM circ

SUBMITTER: Zanotti T 

PROVIDER: S-EPMC8538894 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature