Increasing embedding probabilities of RPRPs in RIN based BIST

Dong Sup Song, Sungho Kang

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

Abstract

In this paper, we propose a new clustered reconfigurable interconnect network (CRIN) BIST to improve the embedding probabilities of random-pattern-resistant-patterns. The proposed method uses a scan-cell reordering technique based on the signal probabilities of given test cubes and specific hardware blocks that increases the embedding probabilities of care bit clustered scan chain test cubes. We have developed a simulated annealing based algorithm that maximizes the embedding probabilities of scan chain test cubes to reorder scan cells, and an iterative algorithm for synthesizing the CRIN hardware. Experimental results demonstrate that the proposed GRIN BIST technique achieves complete fault coverage with lower storage requirement and shorter testing time in comparison with a previous method.

Original languageEnglish
Title of host publicationAdvances in Computer Systems Architecture - 10th Asia-Pacific Conference, ACSAC 2005, Proceedings
Pages600-613
Number of pages14
DOIs
Publication statusPublished - 2005
Event10th Asia-Pacific Conference on Advances in Computer Systems Architecture, ACSAC 2005 - Singapore, Singapore
Duration: 2005 Oct 242005 Oct 26

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3740 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other10th Asia-Pacific Conference on Advances in Computer Systems Architecture, ACSAC 2005
CountrySingapore
CitySingapore
Period05/10/2405/10/26

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Song, D. S., & Kang, S. (2005). Increasing embedding probabilities of RPRPs in RIN based BIST. In Advances in Computer Systems Architecture - 10th Asia-Pacific Conference, ACSAC 2005, Proceedings (pp. 600-613). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3740 LNCS). https://doi.org/10.1007/11572961_49