DocumentCode :
2275668
Title :
Identifying systematic critical features using silicon diagnosis data
Author :
Schuermyer, Chris ; Malik, Shobhit ; Herrmann, Thomas
Author_Institution :
Silicon Test Solutions, Mentor Graphics Corp., Wilsonville, OR, USA
fYear :
2012
fDate :
15-17 May 2012
Firstpage :
1
Lastpage :
6
Abstract :
A production worthy methodology has been outlined that uses layout aware scan diagnosis data to validate whether certain topologies are design-process induced defects. The methodology uses pattern matching technology to generate a set of critical feature hypotheses and uses diagnosis-driven yield analysis to validate or refute the hypotheses. The methodology is demonstrated in a 28nm GLOBALFOUNDRIES yield ramp to uniquely identify systematic critical features in silicon and provide a best description of the surrounding topology which induces the defect, along with quantifying the yield impact.
Keywords :
elemental semiconductors; fault diagnosis; pattern matching; semiconductor device manufacture; silicon; GLOBALFOUNDRIES yield ramp; critical feature hypotheses; design-process induced defect; diagnosis-driven yield analysis; layout aware scan diagnosis; pattern matching technology; production worthy methodology; silicon diagnosis data; size 28 nm; systematic critical feature; Failure analysis; Feature extraction; Layout; Object recognition; Silicon; Systematics; Topology; critical feature; defects; design for manufacturing; diagnosis; failure analysis; systematic yield limiter; yield learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Semiconductor Manufacturing Conference (ASMC), 2012 23rd Annual SEMI
Conference_Location :
Saratoga Springs, NY
ISSN :
1078-8743
Print_ISBN :
978-1-4673-0350-7
Type :
conf
DOI :
10.1109/ASMC.2012.6212858
Filename :
6212858
Link To Document :
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