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Automated nonlinear Macromodelling of output buffers for high-speed digital applications
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Source Annual ACM IEEE Design Automation Conference archive
Proceedings of the 42nd annual Design Automation Conference table of contents
Anaheim, California, USA
SESSION: Analog macromodeling table of contents
Pages: 51 - 56  
Year of Publication: 2005
ISBN:1-59593-058-2
Authors
Ning Dong  University of Minnesota
Jaijeet Roychowdhury  University of Minnesota
Sponsors
ACM: Association for Computing Machinery
SIGDA: ACM Special Interest Group on Design Automation
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 12,   Downloads (12 Months): 47,   Citation Count: 4
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ABSTRACT

We present applications of a recently developed automated nonlinear macromodelling approach to the important problem of macromodelling high-speed output buffers/drivers. Good nonlinear macromodels of such drivers are essential for fast signal-integrity and timing analysis in high-speed digital design. Unlike traditional black-box modelling techniques, our approach extracts nonlinear macromodels of digital drivers automatically from SPICE-level descriptions. Thus it can naturally capture transistor-level nonlinearities in the macromodels, resulting in far more accurate signal integrity analysis, while retaining significant speedups. We demonstrate the technique by automatically extracting macromodels for two typical digital drivers. Using the macromodel, we obtain about 8x speedup in average with excellent accuracy in capturing different loading effects, crosstalk, simultaneous switching noise (SSN), etc.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Ning Dong: colleagues
Jaijeet Roychowdhury: colleagues