Presentation 2006-10-27
A Performance Evaluation of a Statistical Static Timing Analysis Using Gaussian Distributions
Wataru SHIMOYAMA, Yusuke TAKAGI, Shuji TSUKIYAMA,
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Abstract(in English) The conventional design method to deal with variability is considering the worst-case corners and setting margins. Since process variability increases with the progress of nanotechnology, such a method sometimes fails in designing a desired circuit due to over-margins. However, since within-die variability is also increasing, if the effect of variability is evaluated precisely, then over-margins may be eliminated and low power circuits can be produced in high yield. For this purpose, statistical static timing analysis, which treats delays as random variables, attracts attentions and several algorithms have been proposed. In these algorithms, the way how to represent the distributions of element-delays and path-delays is important, and it affects the accuracy and the time complexity of the analysis. This paper evaluates the performance of an algorithm which represents each delay as a summation of Gaussian distributions from the viewpoint of influence of correlation and distribution of element-delay. The comparisons with Monte Carlo simulation are shown.
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Keyword(in English) Statistical Static Timing Analysis / Correlation / Gaussian Distribution / Uniform Distribution / Performance Evaluation
Paper # SIP2006-103,ICD2006-129,IE2006-81
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Conference Date 2006/10/20(1days)
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Registration To Integrated Circuits and Devices (ICD)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) A Performance Evaluation of a Statistical Static Timing Analysis Using Gaussian Distributions
Sub Title (in English)
Keyword(1) Statistical Static Timing Analysis
Keyword(2) Correlation
Keyword(3) Gaussian Distribution
Keyword(4) Uniform Distribution
Keyword(5) Performance Evaluation
1st Author's Name Wataru SHIMOYAMA
1st Author's Affiliation Graduate School of Science and Engineering, Chuo University()
2nd Author's Name Yusuke TAKAGI
2nd Author's Affiliation Graduate School of Science and Engineering, Chuo University
3rd Author's Name Shuji TSUKIYAMA
3rd Author's Affiliation Graduate School of Science and Engineering, Chuo University
Date 2006-10-27
Paper # SIP2006-103,ICD2006-129,IE2006-81
Volume (vol) vol.106
Number (no) 317
Page pp.pp.-
#Pages 6
Date of Issue