Fused RRAM-Based Shift-Add Architecture for Efficient Hyperdimensional Computing Paradigm

Yasmin Halawani, Eman Hassan, Baker Mohammad, Hani Saleh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Memristor-based implementations promises efficient in-memory computing architectures. Hence, it has been extensively utilized as multiply-and-add accelerator engines in signal processing and artificial intelligence applications. Hyperdimensional computing (HDC) paradigm is an encouraging brain-inspired computational framework that performs computations on hyperdimensional vectors. The encoding operation in HDC takes about 80% of the execution time and consists of multi-plication, addition and shifting. In this paper, a reconfigurable memristor array is used to implement in-memory shifting and addition to the seeds of the hyperdimensional vectors. The presented scheme fuses the circular shifting with summation operations. This is the first work to introduce such scheme and it provides savings in time, power and area compared to traditional computations and other crossbar approaches that performs separate operations on the crossbar. Spice simulation of the proposed scheme using 65nm foundry has been used to verify the functionality.

Original languageBritish English
Title of host publication2021 IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages179-182
Number of pages4
ISBN (Electronic)9781665424615
DOIs
StatePublished - 9 Aug 2021
Event2021 IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2021 - Virtual, East Lansing, United States
Duration: 9 Aug 202111 Aug 2021

Publication series

NameMidwest Symposium on Circuits and Systems
Volume2021-August
ISSN (Print)1548-3746

Conference

Conference2021 IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2021
Country/TerritoryUnited States
CityVirtual, East Lansing
Period9/08/2111/08/21

Keywords

  • encoding
  • Hyperdimensional computing
  • in-memory computing
  • RRAM
  • shift-add

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