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 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