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Title page for ETD etd-01252012-174557


Type of Document Master's Thesis
Author Chetia, Jugantor
Author's Email Address jugantor.chetia@vanderbilt.edu
URN etd-01252012-174557
Title An efficient AVF estimation technique using circuit partitioning
Degree Master of Science
Department Electrical Engineering
Advisory Committee
Advisor Name Title
Lloyd W. Massengill Committee Chair
Bharat L. Bhuva Committee Co-Chair
Keywords
  • AVF
  • statistical fault injection
  • circuit partitioning
Date of Defense 2011-12-22
Availability unrestricted
Abstract
Soft errors induced by radiation particles are increasingly becoming a source of concern for

reliable design of VLSI systems. An important parameter to quantify the soft error response of a

system is Architectural Vulnerability Factor (AVF), which is the probability that a fault in a part

of the system will result in an error. One of the most common techniques to estimate AVF of a

system is by using statistical fault injection (SFI). Traditional SFI techniques can be

computationally inefficient with increasing design complexity. In this work, a novel technique

has been developed to enable computationally efficient AVF estimation using enhanced node

observability. Possible target applications for this technique have been identified with results

showing orders of magnitude improvement over traditional SFI techniques.

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