An Approach to Analyze and Improve the Simulation Efficiency of Complex Behavioral Models

An Approach to Analyze and Improve the Simulation Efficiency of Complex Behavioral Models

Symbolic analysis offers good opportunities for automated bottom-up generation of analytic models for nonlinear analog circuits. Unfortunately, the simulation performance for this kind of models is often a crucial issue. This paper focuses on detailed performance analyses of the behavioral simulatio...

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Hauptverfasser: Platte, D., Sommer, R., Barke, E.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Analog circuits
Analytical models
Circuit simulation
Computational modeling
Jacobian matrices
Nonlinear dynamical systems
Nonlinear equations
Performance analysis
Reduced order systems
Transient analysis
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Beschreibung
Zusammenfassung:Symbolic analysis offers good opportunities for automated bottom-up generation of analytic models for nonlinear analog circuits. Unfortunately, the simulation performance for this kind of models is often a crucial issue. This paper focuses on detailed performance analyses of the behavioral simulation efficiency. Furthermore, promising approaches to improve the simulation performance by "simulator-friendly" formulation of the behavioral models and improvements of the simulation algorithms is presented
ISSN:2160-3804
2160-3812
DOI:10.1109/BMAS.2006.283474