Implementing triple adjacent Error Correction in double error correction Orthogonal Latin Squares Codes

P. Reviriego, S. Liu, J. A. Maestro, S. Lee, N. A. Touba, R. Datta

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

11 Scopus citations

Abstract

Soft errors have been a concern in memories for many years. In older technologies, soft errors typically affected a single memory cell but as technology scaled, Multiple Cell Upsets (MCUs) that affect a group of nearby cells have become more common. This trend is expected to continue making MCUs more frequent and also increasing the number of cells affected. To avoid data corruption in memories, Error Correction Codes (ECCs) are used. Single Error Correction (SEC) codes that can correct one bit error per word are effective only against single errors. To protect against MCUs, one option is to use more sophisticated error correction codes like for example, Orthogonal Latin Squares Codes (OLSC). In this paper, a modification of the OLSC decoding algorithm is proposed for codes that can correct two random errors. This modification has little impact on circuit complexity and enables triple adjacent error correction which is interesting when MCUs are present.

Original languageEnglish
Title of host publicationProceedings of the 2013 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, DFTS 2013
Pages167-171
Number of pages5
DOIs
StatePublished - 2013
Event2013 26th IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, DFTS 2013 - New York City, NY, United States
Duration: 2 Oct 20134 Oct 2013

Publication series

NameProceedings - IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems
ISSN (Print)1550-5774

Conference

Conference2013 26th IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, DFTS 2013
Country/TerritoryUnited States
CityNew York City, NY
Period2/10/134/10/13

Keywords

  • Error correction codes
  • Multiple Cell Upsets (MCUs)
  • majority logic decoding
  • memory

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