PhD Thesis

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« Enriched high level model generation for heterogeneous and multiphysic systems ».

Author: L. Bousquet
Advisor: E. Simeu
Co-advisor: L. Fesquet, K. Morin-Allory
President of jury: P. Girard
thesis reviewer(s): I. O'Connor, F. Monteiro,
These de Doctorat Université de Grenoble
Speciality: Micro et Nano Electronique
Defense: January 29 2014
ISBN: 978-2-11-129187-4


Systems on chip are more and more complex as they now embed not only digital and analog parts, but also sensors and actuators. SystemC and its extension SystemC AMS allow the high level modeling of such systems. These tools are efficient for feasibility study, architectural exploration and global verification of heterogeneous and multiphysics systems. At low level of abstraction, the simulation duration are too important. Moreover, synchronization problems appear when cosimulations are performed. It is possible to abstract the low level models that are developed by the specialists of the different domains to create high level models that can be simulated faster using SystemC/SystemC AMS. The models of computation and the modeling styles have been studied. A relation is shown between the modeling style, the model size and simulation speed. A method that generates automatically the high level model of an analog linear circuit from its low level representation is proposed. Then, it is shown how to include in the high level model some information allowing the power consumption estimation. After that, the multiphysics systems modeling is studied. Two methods are discussed: firstly, the one that uses the electrical equivalent circuit, then the one based on the bond graph approach. It is shown how to generate a bond graph equivalent model from a low level representation. Finally, the modeling of a wind turbine system is discussed in order to illustrate the different concepts presented in this thesis.

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