DocumentCode
2706243
Title
Comparing the effectiveness of deterministic bridge fault and multiple-detect stuck fault patterns for physical bridge defects: A simulation and silicon study
Author
Goel, Sandeep Kumar ; Devta-Prasanna, Narendra ; Ward, Mark
Author_Institution
LSI Corp., Milpitas, CA, USA
fYear
2009
fDate
1-6 Nov. 2009
Firstpage
1
Lastpage
10
Abstract
Shrinking feature size and increased wire density increase the likelihood of occurrence of bridge related defects. N- detect based pattern sets are used commonly to improve the detection of bridge defects. However, achieving high bridge coverage requires deterministic bridge sites extraction from physical layout and bridge fault pattern generation. In this paper, we present a comprehensive comparative analysis about the effectiveness of deterministic bridge fault patterns and n-detect patterns for two large designs (90 and 65 nm). We show that extracting different types of bridge faults is required as they represent different unique defect sites. Simulation results show that n-detect patterns have very poor bridge coverage performance and commonly used metric bridge coverage estimate (BCE) does not relate to the true bridge fault coverage. Finally, we discuss the DPPM impact for deterministic bridge fault and n-detect stuck-at patterns for the 90 nm design.
Keywords
fault diagnosis; integrated circuit testing; system-on-chip; N-detect based pattern sets; bridge coverage estimate; bridge fault coverage; comprehensive comparative analysis; deterministic bridge fault patterns; feature size; multiple-detect stuck fault patterns; physical bridge defects; size 65 nm; size 90 nm; unique defect sites; Bridge circuits; Circuit faults; Data mining; Electrical fault detection; Fault detection; Large scale integration; Pattern analysis; Silicon; Testing; Wire;
fLanguage
English
Publisher
ieee
Conference_Titel
Test Conference, 2009. ITC 2009. International
Conference_Location
Austin, TX
Print_ISBN
978-1-4244-4868-5
Electronic_ISBN
978-1-4244-4867-8
Type
conf
DOI
10.1109/TEST.2009.5355762
Filename
5355762
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