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Due to the increasing complexity of nanoscale CMOS circuits and systems integration, full SPICE simulations for silicon accurate results can have run times in the order of days or weeks. This paper presents a methodology that uses a simple Kriging metamodeling technique capable of modeling the correlation effects between parameters, and a simulated annealing algorithm for ultrafast design optimization...
This paper explores an ordinary Kriging based metamodeling technique that allows designers to create a model of a circuit with very good accuracy, while greatly reducing the time required for simulations. Regression and interpolation based methods have been researched extensively and are a commonly used technique for creating metamodels. However, they do not take into account the effect of correlation...
Simulations using SPICE provide accurate design exploration but consume a considerable amount of time and can be infeasible for large circuits. The continued technology scaling requires that more circuit parameters are accounted for along with the process variation effects. Regression models have been widely researched and while they present an acceptable accuracy for simulation purposes, they fail...
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