A Vision for All-Spin Neural Networks: A Device to System Perspective

Abhronil Sengupta, Kaushik Roy

Research output: Contribution to journalArticlepeer-review

40 Scopus citations

Abstract

Spin-transfer torque (STT) mechanisms in vertical and lateral spin valves and magnetization reversal/domain wall motion with spin-orbit torque (SOT) have opened up new possibilities of efficiently mimicking 'neural' and 'synaptic' functionalities with much lower area and energy consumption compared to CMOS implementations. In this paper, we review various STT/SOT devices that can provide a compact and area-efficient implementation of artificial neurons and synapses. We provide a device-circuit-system perspective and envision design of an All-Spin neuromorphic processor (with different degrees of bio-fidelity) that can be potentially appealing for ultra-low power cognitive applications.

Original languageEnglish (US)
Article number7755884
Pages (from-to)2267-2277
Number of pages11
JournalIEEE Transactions on Circuits and Systems I: Regular Papers
Volume63
Issue number12
DOIs
StatePublished - Dec 2016

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'A Vision for All-Spin Neural Networks: A Device to System Perspective'. Together they form a unique fingerprint.

Cite this