A Unified Framework for Error Correction in On-chip Memories

Frederic Sala, Henry Duwe, Lara Dolecek, Rakesh Kumar

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

Abstract

Many techniques have been proposed to improve the reliability of on-chip memories (e.g., caches). These techniques can be broadly characterized as being based on either errorcorrecting codes, side-information from built-in self test (BIST) routines, or hybrid combinations of the two. Although each proposal has been shown to be favorable under a certain set of assumptions and parameters, it is difficult to determine the suitability of such techniques in the overall design space. In this paper, we seek to resolve this problem by introducing a unified general framework representing such schemes. The framework, composed of storage, decoders, costs, and error rates, allows a full exploration of the design space of reliability techniques. We show how existing schemes can be represented in this framework and we use the framework to examine performance in the practical case of high overall and moderate BIST-undetectable fault rates. We show that erasure-based sideinformation schemes are less sensitive to BIST-undetectable errors compared to other techniques.

Original languageEnglish (US)
Title of host publicationProceedings - 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN-W 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages268-274
Number of pages7
ISBN (Electronic)9781467388917
DOIs
StatePublished - Sep 22 2016
Event46th IEEE/IFIP International Conference on Dependable Systems and Networks, DSN-W 2016 - Toulouse, France
Duration: Jun 28 2016Jul 1 2016

Publication series

NameProceedings - 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN-W 2016

Other

Other46th IEEE/IFIP International Conference on Dependable Systems and Networks, DSN-W 2016
Country/TerritoryFrance
CityToulouse
Period6/28/167/1/16

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Optimization

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