Architectural vulnerability factor estimation with Backwards Analysis

Robert Hartl, Andreas J. Rohatschek, Walter Stechele, Andreas Herkersdorf

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

4 Scopus citations

Abstract

Single-Event-Upsets in synchronous register-based designs are a severe problem for safety-critical applications. Exact and detailed error rate estimations are needed to determine a system's level of reliability. Available methods for estimation consider only special effects, use special reliability models or are computationally intensive. We present an innovative method that is able to calculate the architectural vulnerability factor (AVF) of any RT-level circuit description by applying time-reversed stimulus values. This method, which we call Backwards Analysis, considers all major masking effects (logic masking, information lifetime, timing derating, transitive masking) in a single algorithm and delivers results in several levels of detail from average AVF through sensitivity waveforms. The results show the critical parts and states of a design, which could be used for reliability assessment and selective hardening of the circuit to reach a target failure rate.

Original languageEnglish
Title of host publicationProceedings - 13th Euromicro Conference on Digital System Design
Subtitle of host publicationArchitectures, Methods and Tools, DSD 2010
Pages605-612
Number of pages8
DOIs
StatePublished - 2010
Event13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools, DSD 2010 - Lille, France
Duration: 1 Sep 20103 Sep 2010

Publication series

NameProceedings - 13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools, DSD 2010

Conference

Conference13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools, DSD 2010
Country/TerritoryFrance
CityLille
Period1/09/103/09/10

Fingerprint

Dive into the research topics of 'Architectural vulnerability factor estimation with Backwards Analysis'. Together they form a unique fingerprint.

Cite this