An efficient methodology to evaluate nanoscale circuit fault-tolerance performance based on Belief Propagation

Huifei Rao*, Jie Chen, Vicky H. Zhao, Woon Tiong Ang, I. Chyn Wey, An Yeu Wu

*Corresponding author for this work

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

2 Scopus citations

Abstract

As silicon circuits quickly approach their physical limitations, researchers are actively looking for novel building blocks to develop nanocircuits. However, future nanoelectronic circuits are more error-prone than conventional CMOS designs because of their self-assembly design. To help design fault-tolerant nanoscale circuits, new circuit design and testing tools are needed. In this paper, an efficient methodology to evaluate nanoscale circuit fault tolerance based on Belief Propagation (BP) algorithm is proposed. Compared with existing approaches, the BP algorithm is more efficient in terms of memory requirements and CPU times. The proposed methodology can be easily run on multiple CPUs to achieve parallel processing and thus further reduces simulation time.

Original languageEnglish
Title of host publication2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008
Pages608-611
Number of pages4
DOIs
StatePublished - 2008
Externally publishedYes
Event2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008 - Seattle, WA, United States
Duration: 18 05 200821 05 2008

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Conference

Conference2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008
Country/TerritoryUnited States
CitySeattle, WA
Period18/05/0821/05/08

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