Low power and compact mixed-mode signal processing hardware using spin-neurons

Mrigank Sharad, Deliang Fan, Kaushik Roy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

CMOS Digital signal processing hardware are power efficient but consume large area, whereas, analog processing units, based on CMOS technology are compact, but power hungry. Emerging magneto-metallic spin-torque devices like domain wall magnets can however perform analog-mode computation like summation and thresholding at ultra low voltage. Such devices can be exploited in designing spin-CMOS hybrid analog processing units that are compact as well as low power. In this work we present a mixed-mode signal processing scheme employing 'domain wall neurons' that involves energy efficient analog-mode computation upon digital data. Simulation results for 8-bit, 16-tap FIR filter show that such a design can achieve 10x lower power consumption and 16x lower area as compared to an optimized digital CMOS design at the same technology node. In such a design area saving can be traded off for enhanced power savings, depending upon the target application.

Original languageEnglish (US)
Title of host publicationProceedings of the 14th International Symposium on Quality Electronic Design, ISQED 2013
Pages189-195
Number of pages7
DOIs
StatePublished - 2013
Externally publishedYes
Event14th International Symposium on Quality Electronic Design, ISQED 2013 - Santa Clara, CA, United States
Duration: Mar 4 2013Mar 6 2013

Publication series

NameProceedings - International Symposium on Quality Electronic Design, ISQED
ISSN (Print)1948-3287
ISSN (Electronic)1948-3295

Conference

Conference14th International Symposium on Quality Electronic Design, ISQED 2013
CountryUnited States
CitySanta Clara, CA
Period3/4/133/6/13

Keywords

  • analog
  • circuit design
  • low power design
  • magnets
  • spin torque

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality

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