DocumentCode :
3330126
Title :
A methodology to compute the statistical fault coverage of small delays due to opens
Author :
García-Gervacio, José L. ; Champac, Víctor
Author_Institution :
Nat. Inst. for Astrophys., Opt. & Electron. (INAOE), Puebla, Mexico
fYear :
2009
fDate :
2-5 Aug. 2009
Firstpage :
1211
Lastpage :
1214
Abstract :
Resistive opens in vias and interconnection lines have become an issue in modern nanometer technologies. These defects may produce small delays which are difficult to detect and may pose a reliability problem. In this paper, a statistical timing analysis framework is used to analyze the detectability of small delays due to resistive opens considering process variations. A statistical methodology to estimate the fault coverage of these defects is proposed. In the statistical timing analysis framework, process variations are considered, which have become a critical issue affecting the performance and test of nanometer digital circuits. Inter-die and intra-die process variations are considered. Using the proposed methodology, the statistical fault coverage of resistive opens producing small delays is evaluated for some ISCAS benchmark circuits.
Keywords :
delays; fault diagnosis; integrated circuit interconnections; integrated circuit reliability; logic testing; nanotechnology; statistical analysis; ISCAS benchmark circuit; delays; interconnection lines; interdie process variation; intradie process variation; nanometer digital circuit; nanometer technologies; statistical fault; statistical timing analysis framework; Circuit faults; Circuit simulation; Circuit testing; Delay; Digital circuits; Electrical fault detection; Fault detection; Integrated circuit interconnections; Probability; Timing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2009. MWSCAS '09. 52nd IEEE International Midwest Symposium on
Conference_Location :
Cancun
ISSN :
1548-3746
Print_ISBN :
978-1-4244-4479-3
Electronic_ISBN :
1548-3746
Type :
conf
DOI :
10.1109/MWSCAS.2009.5235933
Filename :
5235933
Link To Document :
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