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Fault Diagnosis and Spare Allocation for Yield Enhancement in Large Reconfigurable PLA's

  • National Taiwan University
  • University of Illinois at Urbana-Champaign

Research output: Contribution to journal › Journal Article › peer-review

14 Scopus citations

Abstract

Reconfigurable logic and memory structures are an important means of increasing manufacturing yield as both circuit density and chip size continue to increase. Yield enhancement through reconfiguration, however, necessarily relies on accurate diagnosis of fault locations. Although a substantial body of literature exists concerning testing of logic arrays, little is known regarding diagnosis of the specific locations of multiple faults in such arrays. In this paper a fault diagnosis algorithm is presented for large PLA’s.

Original languageEnglish
Pages (from-to)221-226
Number of pages6
JournalIEEE Transactions on Computers
Volume41
Issue number2
DOIs
StatePublished - 02 1992
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Design for diagnosis
  • design for yield enhancement
  • fault diagnosis P
  • LA’s

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