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Design, Automation and Test in Europe Conference and Exhibition (DATE'03)
Delay Defect Diagnosis Based Upon Statistical Timing Models — The First Step
Munich, Germany
March 03-March 07
ISBN: 0-7695-1870-2
Angela Krstic, University of California at Santa Barbara
Li-C. Wang, University of California at Santa Barbara
Kwang-Ting Cheng, University of California at Santa Barbara
Jing-Jia Liou, National Tsing-Hua University
Magdy S. Abadir, Motorola Inc.
This paper defines a new diagnosis problem for diagnosing delay defects based upon statistical timing models. We illustrate the differences between the delay defect diagnosis and traditional logic defect diagnosis. We propose different diagnosis algorithms, and evaluate their performance via statistical defect injection and statistical delay fault simulation. With a statistical timing analysis framework developed in the past, we demonstrate the new concepts in delay defect diagnosis, and discuss experimental results based upon benchmark circuits.
Citation:
Angela Krstic, Li-C. Wang, Kwang-Ting Cheng, Jing-Jia Liou, Magdy S. Abadir, "Delay Defect Diagnosis Based Upon Statistical Timing Models — The First Step," date, vol. 1, pp.10328, Design, Automation and Test in Europe Conference and Exhibition (DATE'03), 2003
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