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Title: Behavioral Modeling of Drivers and Oscillators Using Machine Learning
Committee:
Dr. Swaminathan, Advisor
Dr. Lim, Chair
Dr. Raychowdhury
Abstract:
The objective of the proposed research is to develop time-domain component-level behavioral models for drivers and oscillators for fast simulation and IP protection. For drivers, parametric modeling approaches are used, and the dynamic memory characteristics of the driver’s output stage are captured using recurrent neural networks (RNNs). For oscillators, augmented neural networks (AugNNs) are proposed to capture the oscillatory behavior of fixed-frequency oscillators and VCOs. The proposed models are compatible with Verilog-A.
