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ABSTRACT
In this paper, we present a method for analyzing the leakage current, and hence the leakage power, of a circuit under process parameter variations that can include spatial correlations due to intra-chip variation. A lognormal distribution is used to approximate the leakage current of each gate and the total chip leakage is determined by summing up the lognormals. In this work, Both subthreshold leakage and gate tunneling leakage are considered. The proposed method is shown to be effective in predicting the CDF/PDF of the total chip leakage. The average errors for mean and sigma values are -1.3% and -4.1%
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 32
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Saumya Chandra , Kanishka Lahiri , Anand Raghunathan , Sujit Dey, Considering process variations during system-level power analysis, Proceedings of the 2006 international symposium on Low power electronics and design, October 04-06, 2006, Tegernsee, Bavaria, Germany
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Kanupriya Gulati , Nikhil Jayakumar , Sunil P. Khatri , D. M. H. Walker, A probabilistic method to determine the minimum leakage vector for combinational designs in the presence of random PVT variations, Integration, the VLSI Journal, v.41 n.3, p.399-412, May, 2008
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Tao Li , Wenjun Zhang , Zhiping Yu, Full-chip leakage analysis in nano-scale technologies: mechanisms, variation sources, and verification, Proceedings of the 45th annual conference on Design automation, June 08-13, 2008, Anaheim, California
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Ruijing Shen , Ning Mi , Sheldon X.-D. Tan , Yici Cai , Xianlong Hong, Statistical modeling and analysis of chip-level leakage power by spectral stochastic method, Proceedings of the 2009 Conference on Asia and South Pacific Design Automation, January 19-22, 2009, Yokohama, Japan
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