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A Probabilistic Collocation Method Based Statistical Gate Delay Model Considering Process Variations and Multiple Input Switching
Munich, Germany March 07-March 11
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DATE.2005.31Design, Automation and Test in Europe ...
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Y. Satish Kumar, Univ. of Arizona
Claudio Talarico, Univ. of Arizona
Janet Wang, Univ. of Arizona
Since the advent of new nanotechnologies, the variability of gate delay due to process variations has become a major concern. This paper proposes a new gate delay model that includes impact from both process variations and multiple input switching. The proposed model uses orthogonal polynomial based probabilistic collocation method to construct a delay analytical equation from circuit timing performance. From the experimental results, our approach has less that 0.2% error on the mean delay of gates and less than 3% error on the standard deviation.
Citation:
Y. Satish Kumar, Jun Li, Claudio Talarico, Janet Wang, "A Probabilistic Collocation Method Based Statistical Gate Delay Model Considering Process Variations and Multiple Input Switching," date, vol. 2, pp.770-775, Design, Automation and Test in Europe (DATE'05) Volume 2, 2005
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