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Fitting standard cell performance to generalized Lambda distributions

Published: 02 May 2011 Publication History

Abstract

It is well known that random fluctuations in integrated circuit manufacturing introduce variations in circuit performance. While a lot of effort has been spent on circuit variability, fitting performance parameter distributions has not been extensively examined. Our work analyzes whether the Generalized Lambda Distribution suits approximating circuit performance characteristics. We focus on statistical standard cell characterization as an important step towards statistical gate-level and system-level analyses. Our results show that the Generalized Lambda Distribution is not applicable to raw leakage power data. However, timing data and dynamic power consumption may be approximated well. The high characterization effort has to be overcome to achieve industrial application.

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Cited By

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  • (2014)Probabilistic standard cell modeling considering non-gaussian parameters and correlationsProceedings of the conference on Design, Automation & Test in Europe10.5555/2616606.2616887(1-4)Online publication date: 24-Mar-2014
  • (2013)Energy efficiency enhancements for semiconductors, communications, sensors and software achieved in cool silicon cluster projectThe European Physical Journal Applied Physics10.1051/epjap/201312048063:1(14402)Online publication date: 5-Jul-2013
  • (2012)Cool silicon ICT energy efficiency enhancements2012 International Semiconductor Conference Dresden-Grenoble (ISCDG)10.1109/ISCDG.2012.6360004(1-4)Online publication date: Sep-2012
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cover image ACM Conferences
GLSVLSI '11: Proceedings of the 21st edition of the great lakes symposium on Great lakes symposium on VLSI
May 2011
496 pages
ISBN:9781450306676
DOI:10.1145/1973009
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 02 May 2011

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Author Tags

  1. generalized lambda distribution
  2. performance variability
  3. statistical cell characterization

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GLSVLSI '11
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GLSVLSI '11: Great Lakes Symposium on VLSI 2011
May 2 - 4, 2011
Lausanne, Switzerland

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Cited By

View all
  • (2014)Probabilistic standard cell modeling considering non-gaussian parameters and correlationsProceedings of the conference on Design, Automation & Test in Europe10.5555/2616606.2616887(1-4)Online publication date: 24-Mar-2014
  • (2013)Energy efficiency enhancements for semiconductors, communications, sensors and software achieved in cool silicon cluster projectThe European Physical Journal Applied Physics10.1051/epjap/201312048063:1(14402)Online publication date: 5-Jul-2013
  • (2012)Cool silicon ICT energy efficiency enhancements2012 International Semiconductor Conference Dresden-Grenoble (ISCDG)10.1109/ISCDG.2012.6360004(1-4)Online publication date: Sep-2012
  • (2011)A general approach for multivariate statistical MOSFET compact modeling preserving correlations2011 Proceedings of the European Solid-State Device Research Conference (ESSDERC)10.1109/ESSDERC.2011.6044209(163-166)Online publication date: Sep-2011

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