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 language | English |
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Title of host publication | Surrogate-Based Modeling and Optimization |
Subtitle of host publication | Applications in Engineering |
Publisher | Springer New York |
Pages | 171-188 |
Number of pages | 18 |
Volume | 9781461475514 |
ISBN (Electronic) | 9781461475514 |
ISBN (Print) | 1461475503, 9781461475507 |
DOIs | |
Publication status | Published - 1 Aug 2013 |
Externally published | Yes |
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