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ABSTRACT
Variability of circuit performance is becoming a very important issue for ultra-deep sub-micron technology. Gate length variation has the most direct impact on circuit performance. Since many factors contribute to the variability of gate length, recent studies have modeled the variability using Gaussian distributions. In reality, the through-pitch and through-focus variations of gate length are systematic. In this paper, we propose a timing methodology which takes these systematic variations into account and we show that it can reduce the timing uncertainty by up to 40%.
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 12
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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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Puneet Gupta , Andrew B. Kahng , Youngmin Kim , Dennis Sylvester, Self-Compensating Design for Focus Variation, Proceedings of the 42nd annual conference on Design automation, June 13-17, 2005, San Diego, California, USA
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Vikram Iyengar , Mark Johnson , Theo Anemikos , Bob Bassett , Mike Degregorio , Rudy Farmer , Gary Grise , Phil Stevens , Mark Taylor , Frank Woytowich, Performance verification of high-performance ASICs using at-speed structural test, Proceedings of the 16th ACM Great Lakes symposium on VLSI, April 30-May 01, 2006, Philadelphia, PA, USA
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Amith Singhee , Sonia Singhal , Rob A. Rutenbar, Exploiting correlation kernels for efficient handling of intra-die spatial correlation, with application to statistical timing, Proceedings of the conference on Design, automation and test in Europe, March 10-14, 2008, Munich, Germany
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