Variation-aware circuit macromodeling and design based on surrogate models

Ting Zhu, Mustafa Berke Yelten, Michael B. Steer, Paul D. Franzon

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

Özet

This paper presents surrogate model-based methods to generate circuit performance models, device models, and high-speed IO buffer macromodels. Circuit performance models are built with design parameters and parametric variations, and they can be used for fast and systematic design space exploration and yield analysis. Surrogate models of the main device characteristics are generated in order to assess the effects of variability in analog circuits. A new variation-aware IO buffer macromodel is developed by integrating surrogate modeling and a physically-based model structure. The new IO model provides both good accuracy and scalability for signal integrity analysis.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıSimulation and Modeling Methodologies, Technologies and Applications - International Conference, SIMULTECH 2011, Revised Selected Papers
EditörlerJoaquim Filipe, Janusz Kacprzyk, Nuno Pina
YayınlayanSpringer Verlag
Sayfalar255-269
Sayfa sayısı15
ISBN (Basılı)9783642343353
DOI'lar
Yayın durumuYayınlandı - 2013
Harici olarak yayınlandıEvet
Etkinlik1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2011 - Noordwijkerhout, Netherlands
Süre: 29 Tem 201131 Tem 2011

Yayın serisi

AdıAdvances in Intelligent Systems and Computing
Hacim197
ISSN (Basılı)2194-5357

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???event.eventtypes.event.conference???1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2011
Ülke/BölgeNetherlands
Şehir Noordwijkerhout
Periyot29/07/1131/07/11

Bibliyografik not

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2013.

Finansman

This material is based up on the work supported by the Self-HEALing mixed signal Integrated Circuits (HEALICs) program of the Department of Defense Advanced Research Projects Agency (DARPA) and AFRL under contract number: FA8650-09-C-7925. Approved for Public Release. Distribution Unlimited. The views expressed are those of the authors and do not reflect the official policy or position of the Department of Defense or the U.S. Government. The authors T. Zhu, Dr. P. D. Franzon, and Dr. M. B. Steer would like to thank Dr. T. Dhaene of Ghent University, Belgium, for providing the SUrrogate MOdeling (SUMO) Toolbox and for helpful discussion.

FinansörlerFinansör numarası
U.S. Government
U.S. Department of Defense
Defense Advanced Research Projects Agency
Air Force Research LaboratoryFA8650-09-C-7925
Universiteit Gent

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