A Fast sequential learning technique for real circuits with appllication to enhancing atpg performance

Aiman El-Maleh, Mark Kassab, Janusz Rajski

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

6 Scopus citations

Abstract

This paper presents an efficient and novel method for sequential learning of implications, invalid states, and tied gates. It can handle real industrial circuits, with multiple clock domains and partial setheset. The application of this method to improve the efficiency of sequential ATPG is also demonstrated by achieving higher fault coverages and lower test generation times.

Original languageEnglish
Title of host publicationProceedings 1998 - Design and Automation Conference, DAC 1998
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages625-631
Number of pages7
ISBN (Print)078034409X
StatePublished - 1998
Externally publishedYes

Publication series

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

Bibliographical note

Publisher Copyright:
© 1998 ACM.

ASJC Scopus subject areas

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

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