| Computation and Refinement of Statistical Bounds on Circuit Delay |
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Annual ACM IEEE Design Automation Conference
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Proceedings of the 40th annual Design Automation Conference
table of contents
Anaheim, CA, USA
SESSION: Coping with variability: the end of deterministic design
table of contents
Pages: 348 - 353
Year of Publication: 2003
ISBN:1-58113-688-9
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Downloads (6 Weeks): 8, Downloads (12 Months): 30, Citation Count: 27
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ABSTRACT
The growing impact of within-die process variation has created the need for statistical timing analysis, where gate delays are modeled as random variables. Statistical timing analysis has traditionally suffered from exponential run time complexity with circuit size, due to arrival time dependencies created by reconverging paths in the circuit. In this paper, we propose a new approach to statistical timing analysis that is based on statistical bounds of the circuit delay. Since these bounds have linear run time complexity with circuit size, they can be computed efficiently for large circuits. Since both a lower and upper bound on the true statistical delay is available, the quality of the bounds can be determined. If the computed bounds are not sufficiently close to each other, we propose a heuristic to iteratively improve the bounds using selective enumeration of the sample space with additional run time. We demonstrate that the proposed bounds have only a small error and that by carefully selecting an small set of nodes for enumeration, this error can be further improved.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 27
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Rajeev R. Rao , Anirudh Devgan , David Blaauw , Dennis Sylvester, Parametric yield estimation considering leakage variability, Proceedings of the 41st annual conference on Design automation, June 07-11, 2004, San Diego, CA, USA
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C. Visweswariah , K. Ravindran , K. Kalafala , S. G. Walker , S. Narayan, First-order incremental block-based statistical timing analysis, Proceedings of the 41st annual conference on Design automation, June 07-11, 2004, San Diego, CA, USA
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Lei He , Andrew Kahng , King Ho Tam , Jinjun Xiong, Simultaneous buffer insertion and wire sizing considering systematic CMP variation and random leff variation, Proceedings of the 2005 international symposium on Physical design, April 03-06, 2005, San Francisco, California, USA
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Aseem Agarwal , Kaviraj Chopra , David Blaauw , Vladimir Zolotov, Circuit optimization using statistical static timing analysis, Proceedings of the 42nd annual conference on Design automation, June 13-17, 2005, San Diego, California, USA
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Anand Ramalingam , Gi-Joon Nam , Ashish Kumar Singh , Michael Orshansky , Sani R. Nassif , David Z. Pan, An accurate sparse matrix based framework for statistical static timing analysis, Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design, November 05-09, 2006, San Jose, California
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