DocumentCode
2799382
Title
On Generation of 1-Detect TDF Pattern Set with Significantly Increased SDD Coverage
Author
Bao, Fang ; Peng, Ke ; Chakrabarty, Krishnendu ; Tehranipoor, Mohammad
Author_Institution
ECE Dept., Univ. of Connecticut, Storrs, CT, USA
fYear
2011
fDate
20-23 Nov. 2011
Firstpage
120
Lastpage
125
Abstract
Small-delay defect (SDD) testing is expected to become mandatory for high quality products as technology scales and design frequency increases. Traditional timing-unaware transition-delay fault (TDF) ATPGs are not effective for detecting SDDs. Commercial timing-aware ATPGs suffer from huge pattern count and high CPU runtime. A small pattern set with high SDD coverage is desired by industry. In this paper, a comprehensive pattern grading and selection procedure is proposed to meet the requirement. During pattern evaluation, a new SDD-TDF aware metric is proposed to facilitate the trade-off between SDD detection, gross TDF detection and pattern count. By adjusting the relative weight for SDDs and gross TDFs, the final pattern set with high SDD detection efficiency and sufficient TDF coverage could be framed in 1-detect volume. The quality of the final pattern set is measured considering both the number of detected SDDs and the detectable SDD size. Experimental results on both IWLS and ISCAS89 benchmarks demonstrate the efficiency of the proposed SDD screening scheme.
Keywords
automatic test pattern generation; computational complexity; delays; fault diagnosis; integrated circuit testing; 1-detect TDF pattern set; ATPG; ISCAS89 benchmark; IWLS benchmark; SDD coverage; SDD detection efficiency; SDD screening scheme; SDD-TDF aware metric; automatic test pattern generation; detectable SDD size; pattern count; pattern grading; selection procedure; small-delay defect testing; transition delay fault;
fLanguage
English
Publisher
ieee
Conference_Titel
Test Symposium (ATS), 2011 20th Asian
Conference_Location
New Delhi
ISSN
1081-7735
Print_ISBN
978-1-4577-1984-4
Type
conf
DOI
10.1109/ATS.2011.10
Filename
6114524
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