Abstract
SystemC has recently been extended with the Analog and Mixed Signal (AMS) library, with the ultimate goal of providing simulation support for analog electronics and continuous time behavior. SystemC-AMS allows modeling of systems that are either conservative and low level or continuous time and behavioral, which is a limited range compared to other AMS HDLs. This work addresses this challenge by extending SystemC-AMS support to a new level of abstraction, namely Analog Behavioral Modeling (ABM), to cover models that are both behavioral and conservative. This leads to a methodology that uses SystemC-AMS constructs in a novel way. Full automation of the methodology allows proof of its effectiveness both in terms of accuracy and simulation performance, by applying the overall approach to a complex industrial Micro Electro-Mechanical System (MEMS) case study. The effectiveness of the proposed approach is further highlighted in the context of virtual platforms for smart systems, and adopting a C++-based language for MEMS simulation reduces the simulation time by about 2x, thus enhancing the design and integration flow.
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