Dealing with Non-Idealities in Memristor Based Computation-In-Memory Designs

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

Computation-In-Memory (CIM) using memristor devices provides an energy-efficient hardware implementation of arithmetic and logic operations for numerous applications, such as neuromorphic computing and database query. However, memristor-based CIM suffers from various non-idealities such as conductance drift, read disturb, wire parasitics, endurance and device degradation. These negatively impact the computation accuracy of CIM. It is therefore essential to deal with these non-idealities and fabrication imperfections in order to harness the full potential of CIM. This paper discusses the non-ideality challenges and provides potential solutions. Furthermore, the paper outlines the potential future directions for CIM architectures.
Original languageEnglish
Title of host publicationProceedings of the 2022 IFIP/IEEE 30th International Conference on Very Large Scale Integration (VLSI-SoC)
PublisherIEEE
Pages1-6
Number of pages6
ISBN (Electronic)978-1-6654-9005-4
ISBN (Print)978-1-6654-9006-1
DOIs
Publication statusPublished - 2022
Event2022 IFIP/IEEE 30th International Conference on Very Large Scale Integration (VLSI-SoC) - Patras, Greece
Duration: 3 Oct 20225 Oct 2022

Conference

Conference2022 IFIP/IEEE 30th International Conference on Very Large Scale Integration (VLSI-SoC)
Country/TerritoryGreece
CityPatras
Period3/10/225/10/22

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care

Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • CIM
  • memristor
  • non-idealities
  • variability
  • accuracy

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