RIMPA: A New Reconfigurable Dual-Mode In-Memory Processing Architecture with Spin Hall Effect-Driven Domain Wall Motion Device

Shaahin Angizi, Zhezhi He, Farhana Parveen, Deliang Fan

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

25 Scopus citations

Abstract

This paper presents a new Reconfigurable dualmode In-Memory Processing Architecture based on spin Hall effect-driven domain wall motion device called RIMPA. In this architecture, a portion of spintronic memory array can be reconfigured to either non-volatile memory or in-memory logic. Accordingly, computation can be performed within memory without long distance data transfer or large in-memory logic area overhead concerning conventional Von-Neumann or in-memory computing architecture, respectively. The device to architecture simulation results show that, with 17% area increase, RIMPA improves the operating energy by 72.2% as compared with the conventional non-volatile in-memory logic schemes. We show that the Advanced Encryption Standard (AES) algorithm which is widely used in secure big data storage, can be efficiently mapped to RIMPA with 68.8% and 20.8% energy saving in comparison to CMOS-ASIC and recent DW-AES implementations, respectively.

Original languageEnglish (US)
Title of host publicationProceedings - 2017 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2017
EditorsRicardo Reis, Mircea Stan, Michael Huebner, Nikolaos Voros
PublisherIEEE Computer Society
Pages45-50
Number of pages6
ISBN (Electronic)9781509067626
DOIs
StatePublished - Jul 20 2017
Externally publishedYes
Event2017 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2017 - Bochum, North Rhine-Westfalia, Germany
Duration: Jul 3 2017Jul 5 2017

Publication series

NameProceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI
Volume2017-July
ISSN (Print)2159-3469
ISSN (Electronic)2159-3477

Other

Other2017 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2017
Country/TerritoryGermany
CityBochum, North Rhine-Westfalia
Period7/3/177/5/17

Keywords

  • Domain wall motion
  • in-memory processing platform.
  • spin Hall effect (SHE)

ASJC Scopus subject areas

  • Hardware and Architecture
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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