Mitigating the impact of faults in unreliable memories for error-resilient applications

Shrikanth Ganapathy, Georgios Karakonstantis, Adam Teman, Andreas Burg

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

23 Scopus citations


Inherently error-resilient applications in areas such as signal processing, machine learning and data analytics provide opportunities for relaxing reliability requirements, and thereby reducing the overhead incurred by conventional error correction schemes. In this paper, we exploit the tolerable imprecision of such applications by designing an energy-efficient fault-mitigation scheme for unreliable data memories to meet target yield. The proposed approach uses a bit-shuffling mechanism to isolate faults into bit locations with lower significance. This skews the bit-error distribution towards the low order bits, substantially limiting the output error magnitude. By controlling the granularity of the shuffling, the proposed technique enables trading-off quality for power, area, and timing overhead. Compared to error-correction codes, this can reduce the overhead by as much as 83% in read power, 77% in read access time, and 89% in area, when applied to various data mining applications in 28nm process technology.

Original languageEnglish
Title of host publication2015 52nd ACM/EDAC/IEEE Design Automation Conference, DAC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781450335201
StatePublished - 24 Jul 2015
Externally publishedYes
Event52nd ACM/EDAC/IEEE Design Automation Conference, DAC 2015 - San Francisco, United States
Duration: 8 Jun 201512 Jun 2015

Publication series

NameProceedings - Design Automation Conference
ISSN (Print)0738-100X


Conference52nd ACM/EDAC/IEEE Design Automation Conference, DAC 2015
Country/TerritoryUnited States
CitySan Francisco

Bibliographical note

Publisher Copyright:
© 2015 ACM.


  • Approximate Computing
  • Bit-shuffling
  • Error Correction
  • Error-resilient Applications
  • Priority-ECC
  • Significance-driven computing
  • Unreliable Memory


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