| Statistical estimation of leakage-induced power grid voltage drop considering within-die process variations |
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Annual ACM IEEE Design Automation Conference
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Proceedings of the 40th annual Design Automation Conference
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Anaheim, CA, USA
SESSION: Novel design methodologies and signal integrity
table of contents
Pages: 856 - 859
Year of Publication: 2003
ISBN:1-58113-688-9
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Downloads (6 Weeks): 4, Downloads (12 Months): 16, Citation Count: 8
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ABSTRACT
Transistor threshold voltages Vth have been reduced as part of on-going technology scaling. The smaller Vth values feature increased fluctuations due to process variations, with a strong within-die component. Correspondingly, given the exponential dependence of leakage on.Vth, circuit leakage currents are increasing significantly and have strong within-die statistical variations. With these currents loading the power grid, the grid develops large voltage drops, which is an unavoidable background level of noise on the grid. We develop techniques for estimation of the statistics of the leakage-induced power grid voltage drop based on given statistics of the circuit leakage currents.
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 8
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Ning Mi , Sheldon X.-D. Tan , Pu Liu , Jian Cui , Yici Cai , Xianlong Hong, Stochastic extended Krylov subspace method for variational analysis of on-chip power grid networks, Proceedings of the 2007 IEEE/ACM international conference on Computer-aided design, November 05-08, 2007, San Jose, California
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