DocumentCode :
3362319
Title :
Clustering techniques for improving transient current testing
Author :
Serhal, Cezar ; Chehab, Ali ; Kayssi, Ayman
Author_Institution :
ECE Dept., American Univ. of Beirut, Beirut, Lebanon
fYear :
2009
fDate :
15-17 Nov. 2009
Firstpage :
1
Lastpage :
6
Abstract :
Several techniques are used to detect defects in digital integrated circuits. Among these techniques is transient current testing (iDDT). The detection capability of iDDT degrades as the size and switching activity of the circuit under test (CUT) increases. In this paper we present clustering techniques that control the switching activity of one cluster in response to applied test vector-pairs. Our clustering techniques take into consideration the physical layout of the gates in the CUT. This paper shows the results of the clustering techniques when applied to ISCAS benchmark circuits and verify, using circuit simulation, the ability of the techniques in improving defect detection capabilities of iDDT-based testing.
Keywords :
digital integrated circuits; integrated circuit reliability; integrated circuit testing; clustering; defect detection; digital integrated circuits; switching; transient current testing; Benchmark testing; Circuit simulation; Circuit testing; Clustering algorithms; Degradation; Digital integrated circuits; Integrated circuit testing; Partitioning algorithms; Switching circuits; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design and Test Workshop (IDT), 2009 4th International
Conference_Location :
Riyadh
Print_ISBN :
978-1-4244-5748-9
Type :
conf
DOI :
10.1109/IDT.2009.5404121
Filename :
5404121
Link To Document :
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