Leveraging spintronic devices for ultra-low power in-memory computing: Logic and neural network

Deliang Fan, Zhezhi He, Shaahin Angizi

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

4 Scopus citations

Abstract

In-Memory computing has drawn many attentions as a promising solution to reduce massive power hungry data traffic between computing and memory units, leading to significant improvement of entire system performance and energy efficiency. Emerging spintronic device based non-volatile memory is becoming a next-generation universal memory candidate due to its non-volatility, zero leakage power in un-accessed bit-cell, high integration density, excellent endurance and compatibility with CMOS fabrication technology. In this paper, we present that different spintronic devices based memory, including spin-orbit torque magnetic random access memory (SOT-MRAM), magnetic racetrack memory, magnetic skyrmion, could be leveraged to implement an energy efficient inmemory computing platform. Then, we employ SOT-MRAM and racetrack memory to develop an efficient in-memory data encryption engine that could encrypt data within memory. Furthermore, we also show that emerging magnetic skyrmion device could be leveraged to design a tunable skyrmion neuron cluster that approximate non-linear neuron activation function, which is promising to achieve two orders of lower energy consumption compared with CMOS counterparts.

Original languageEnglish (US)
Title of host publication2017 IEEE 60th International Midwest Symposium on Circuits and Systems, MWSCAS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1109-1112
Number of pages4
ISBN (Electronic)9781509063895
DOIs
StatePublished - Sep 27 2017
Externally publishedYes
Event60th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2017 - Boston, United States
Duration: Aug 6 2017Aug 9 2017

Publication series

NameMidwest Symposium on Circuits and Systems
Volume2017-August
ISSN (Print)1548-3746

Other

Other60th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2017
CountryUnited States
CityBoston
Period8/6/178/9/17

Keywords

  • In-memory computing
  • In-memory data encryption
  • Neural network
  • Racetrack memory
  • Skyrmion
  • SOT-MRAM

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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