NZDC: A compiler technique for near zero silent data corruption

Moslem Didehban, Aviral Shrivastava

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

58 Scopus citations


Exponentially growing rate of soft errors makes reliability a major concern in modern processor design. Since software-oriented approaches offer flexible protection even in off-the-shelf processes, they are attractive solutions in protecting against soft errors. Among such approaches, in-application instruction duplication based approaches have been widely used and are deemed to be the most effective. Such techniques duplicate the program assembly instructions and periodically check the results to identify possible errors. Even though early reports suggest that these achieve close to 100% protection from soft errors, we find several gaps in the protection. Existing techniques are unable to protect several important microarchitectural components, as well as a significant fraction of instructions, resulting in Silent Data Corruptions (SDCs). This paper presents nZDC or near Zero silent Data Corruption - an effective instruction duplication based approach to protect programs from soft errors. Extensive fault injection experiments on almost all the unprotected microarchitectural components in simulated ARM Cortex A53, while executing benchmarks fromMiBench suite, demonstrate that nZDC is extremely effective, without incurring any more performance penalty than the state-of-the-art.

Original languageEnglish (US)
Title of host publicationProceedings of the 53rd Annual Design Automation Conference, DAC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781450342360
StatePublished - Jun 5 2016
Event53rd Annual ACM IEEE Design Automation Conference, DAC 2016 - Austin, United States
Duration: Jun 5 2016Jun 9 2016

Publication series

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


Other53rd Annual ACM IEEE Design Automation Conference, DAC 2016
Country/TerritoryUnited States

ASJC Scopus subject areas

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


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