APPLICATION OF SURROGATE MODELING IN VARIATION-AWARE MACROMODEL AND CIRCUIT DESIGN

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

2011

Abstract

This paper presents surrogate modeling as a solution to variation-aware macromodeling, circuit design, and device modeling. A scalable and high-fidelity IO buffer macromodel is created by integrating surrogate modeling with a physically-based model structure. Circuit performance surrogate models with design and variation parameters are efficient for design space exploration and performance yield analysis. Surrogate models of the main device characteristics are generated in order to assess the effects of variability in analog circuits. Surrogate-based optimization has great potential to speed up complex circuit design.

References

  1. T. Zhu and P.D. Franzon.“ Application of surrogatemodeling to generate compact and PVTsensitive IBIS models,” in Proc. 18th Electrical Performance of Electronic Packaging and Systems, Portland, OR., pp. 77-80, Oct. 19-21, 2009.
  2. D. Gorissen, F. De Turck and T. Dhaene, “Evolutionary model type selection for global surrogate modeling,” Journal of Machine Learning Research, vol. 10, No. 1, pp. 2039-2078, Sep. 2009.
  3. D. Gorissen, K. Crombecq, I. Couckuyt, T. Dhaene and P. Demeester, “A surrogate modeling and adaptive sampling toolbox for computer based design,” Journal of Machine Learning Research, vol. 11, pp. 2051-2055, Jul. 2010.
  4. A. Muranyi, “Accuracy of IBIS models with reactive loads,” [online] Available: http://www.eda.org/pub/ ibis/summits/feb06/muranyi2.pdf
  5. M. Orshansky, S. R. Nassif, and D. Boning, Design for Manufacturability and Statistical Design: A constructive Approach, Springer: New York, USA, 2008.
  6. S. K. Saha, “Modeling process variability in scaled CMOS technology,” IEEE Des. Test. Comput., vol. 27, no. 2, pp. 8-16, 2010.
  7. S. N. Lophaven, H. B. Nielsen and J. Søndergaard, A MATLAB Kriging toolbox 2.0 Aug2002, URL: http://www2.imm.dtu.dk/˜hbn/dace/dace.pdf.
  8. N. V. Queipo, R. T. Haftka, W. Shyy, T. Goel, R. Vaidyanathan and P. K. Tucker, “Surrogate-based analysis and optimization,” Progress in Aerospace Sciences, vol. 41, pp. 1-28, Feb. 2005.
  9. A. Forrester, A. Sobester, and A. Keane, Engineering Design via Surrogate Moldeling: A Practical Guide, John Wiley & Sons, Sep. 2008.
  10. S. Koziel, Q.S. Cheng, and J.W. Bandler, “Space mapping,” IEEE Microwave Magazine, vol. 9, no. 6, 2008, pp. 105-122
Download


Paper Citation


in Harvard Style

Zhu T., Berke Yelten M., B. Steer M. and D. Franzon P. (2011). APPLICATION OF SURROGATE MODELING IN VARIATION-AWARE MACROMODEL AND CIRCUIT DESIGN . In Proceedings of 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SDDOM, (SIMULTECH 2011) ISBN 978-989-8425-78-2, pages 502-508. DOI: 10.5220/0003649305020508


in Bibtex Style

@conference{sddom11,
author={Ting Zhu and Mustafa Berke Yelten and Michael B. Steer and Paul D. Franzon},
title={APPLICATION OF SURROGATE MODELING IN VARIATION-AWARE MACROMODEL AND CIRCUIT DESIGN},
booktitle={Proceedings of 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SDDOM, (SIMULTECH 2011)},
year={2011},
pages={502-508},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003649305020508},
isbn={978-989-8425-78-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SDDOM, (SIMULTECH 2011)
TI - APPLICATION OF SURROGATE MODELING IN VARIATION-AWARE MACROMODEL AND CIRCUIT DESIGN
SN - 978-989-8425-78-2
AU - Zhu T.
AU - Berke Yelten M.
AU - B. Steer M.
AU - D. Franzon P.
PY - 2011
SP - 502
EP - 508
DO - 10.5220/0003649305020508