Efficient Error-Correcting-Code Mechanism for High-Throughput Memristive Processing-in-Memory

Orian Leitersdorf, Ben Perach, Ronny Ronen, Shahar Kvatinsky

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

Abstract

Inefficient data transfer between computation and memory inspired emerging processing-in-memory (PIM) technologies. Many PIM solutions enable storage and processing using memristors in a crossbar-array structure, with techniques such as memristor-aided logic (MAGIC) used for computation. This approach provides highly-paralleled logic computation with minimal data movement. However, memristors are vulnerable to soft errors and standard error-correcting-code (ECC) techniques are difficult to implement without moving data outside the memory. We propose a novel technique for efficient ECC implementation along diagonals to support reliable computation inside the memory without explicitly reading the data. Our evaluation demonstrates an improvement of over eight orders of magnitude in reliability (mean time to failure) for an increase of about 26% in computation latency.

Original languageEnglish
Title of host publication2021 58th ACM/IEEE Design Automation Conference, DAC 2021
Pages199-204
Number of pages6
ISBN (Electronic)9781665432740
DOIs
StatePublished - 5 Dec 2021
Event58th ACM/IEEE Design Automation Conference, DAC 2021 - San Francisco, United States
Duration: 5 Dec 20219 Dec 2021

Publication series

NameProceedings - Design Automation Conference
Volume2021-December

Conference

Conference58th ACM/IEEE Design Automation Conference, DAC 2021
Country/TerritoryUnited States
CitySan Francisco
Period5/12/219/12/21

Keywords

  • Processing-in-memory (PIM)
  • error-correcting-code (ECC)
  • memristor
  • memristor aided logic (MAGIC)
  • reliability
  • soft errors

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modelling and Simulation

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