Model-based variation-aware integrated circuit design

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Modern integrated circuit designers must deal with complex design and simulation problems while coping with large device to device parametric variations and often imperfect information. This chapter presents surrogate model-based methods to generate circuit performance models for design, device models, and high-speed input-output (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. The variation-aware IO buffer macromodel integrates surrogate modeling and a physically based model structure. The new IO macromodel provides both good accuracy and scalability for signal integrity analysis.

Original languageEnglish
Title of host publicationSurrogate-Based Modeling and Optimization
Subtitle of host publicationApplications in Engineering
PublisherSpringer New York
Pages171-188
Number of pages18
Volume9781461475514
ISBN (Electronic)9781461475514
ISBN (Print)1461475503, 9781461475507
DOIs
Publication statusPublished - 1 Aug 2013
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2013 Springer Science+Business Media New York. All rights are reserved.

Keywords

  • Circuit optimization
  • Design aids
  • Design exploration
  • Device model
  • IO model
  • Integrated circuit
  • Model-based design
  • Performance model
  • Self-calibrated circuit
  • Surrogate modeling
  • Variation aware
  • Yield analysis

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