Yield analysis for repairable embedded memories

A. Sehgal, A. Dubey, E.J. Marinissen, C. Wouters, H.P.E. Vranken, K. Chakrabarty

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

5 Citations (Scopus)

Abstract

Repairable embedded memories help improve the overall yield of an IC. We have developed a yield analysis tool that provides realistic yield estimates for both single repairable memories, as well as for ICs containing multiple, possibly different, repairable embedded memories. Our approach uses pseudo-randomly generated fault bit-maps, which are based on memory area size, defect density, and fault distribution. In order to accommodate a wide range of industrial memory and redundancy organizations, we have developed a flexible memory model. It generalizes the traditional simple memory matrix model with partitioning into regions, grouping of columns and rows, and column-wise and row-wise coupling of the spares. Our tool is used to determine an optimal amount of spare columns and rows for a given memory, as well as to determine the effectiveness of various repair algorithms.

Original languageEnglish
Title of host publicationProceedings - 8th IEEE European Test Workshop, ETW 2003
PublisherInstitute of Electrical and Electronics Engineers
Pages35-40
Number of pages6
ISBN (Electronic)0769519083
ISBN (Print)0-7695-1908-3
DOIs
Publication statusPublished - 2003
Externally publishedYes
Event8th IEEE European Test Workshop, ETW 2003 - Crowne Plaza Hotel, Maastricht, Netherlands
Duration: 25 May 200328 May 2003
Conference number: 8
http://www.ieee-ets.org/past_events/etw03/

Conference

Conference8th IEEE European Test Workshop, ETW 2003
Abbreviated titleETW'03
Country/TerritoryNetherlands
CityMaastricht
Period25/05/0328/05/03
Internet address

Keywords

  • Algorithm design and analysis
  • Automatic testing
  • Circuit faults
  • Circuit testing
  • Heuristic algorithms
  • Manufacturing industries
  • Partitioning algorithms
  • Redundancy
  • Silicon
  • Very large scale integration

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