Changes between Version 15 and Version 16 of H-InceptionPublications/Andrade


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Timestamp:
Nov 17, 2015, 5:58:45 PM (8 years ago)
Author:
mariem
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  • H-InceptionPublications/Andrade

    v15 v16  
    1010'''ABSTRACT'''
    1111
    12 The design of embedded systems is currently an increasing complex problem. These systems tend to become heterogeneous in the sense that they require the integration of components described by means of different physical/engineering disciplines, for example, electrical, optical, thermal, mechanical, chemical, or biological. Besides, these disciplines can be described under different time domains, for example, Discrete Event (DE), Discrete Time (DT), or Continuous Time (CT). To address this problem, designers require modeling and simulation tools to describe the system's components under different time domains and synchronize them in the same simulation environment.
     12The design of embedded systems is currently an increasingly complex problem. These systems tend to become heterogeneous in the sense that they require the integration of components described by means of different physical/engineering disciplines, for example, electrical, optical, thermal, mechanical, chemical, or biological. Besides, these disciplines can be described under different time domains, for example, Discrete Event (DE), Discrete Time (DT), or Continuous Time (CT). To address this problem, designers require modeling and simulation tools to describe the system's components under different time domains and synchronize them in the same simulation environment.
    1313
    1414We explore the possibilities of modeling, simulating and synchronizing multi-disciplinary systems in the same environment, using as reference the SystemC and its Analog and Mixed-Signal (AMS) extensions simulation standard. We analyze the method introduced in SystemC-AMS for synchronizing the DE and DT domains, and we identify its drawbacks. Besides, we introduce a new formalization of the synchronization problem, which is used to detect issues in a model before simulation.