| Faster, parametric trajectory-based macromodels via localized linear reductions |
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International Conference on Computer Aided Design
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Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design
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San Jose, California
SESSION: Model order reduction and parametric analysis
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Pages: 876 - 883
Year of Publication: 2006
ISBN ~ ISSN:1092-3152 , 1-59593-389-1
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Downloads (6 Weeks): 2, Downloads (12 Months): 26, Citation Count: 3
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ABSTRACT
Trajectory-based methods offer an attractive methodology for automated, on-demand generation of macromodels for custom circuits. These models are generated by sampling the state trajectory of a circuit as it simulates in the time domain, and building macromodels by reducing and interpolating among the linearizations created at a suitably spaced subset of the time points visited during training simulations. However, a weak point in conventional trajectory models is the reliance on a single, global reduction matrix for the state space. We develop a new, faster method that generates and weaves together a larger set of smaller localized linearizations for the trajectory samples. The method not only improves speedups to 30X over SPICE, but as a side benefit also provides a platform for parametric small-signal simulation of circuits with variational device/process parameters, at a speedup of roughly 200X over SPICE.
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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