Advertisement

EURASIP Journal on Embedded Systems

, 2010:489365 | Cite as

On Mixed Abstraction, Languages, and Simulation Approach to Refinement with SystemC AMS

  • Yaseen ZaidiEmail author
  • Christoph Grimm
  • Jan Haase
Open Access
Research Article
Part of the following topical collections:
  1. Design Methodologies and Innovative Architectures for Mixed-Signal Embedded Systems

Abstract

Executable specifications and simulations are cornerstone to system design flows. Complex-mixed-signal embedded systems can be specified with SystemC AMS which supports abstraction and extensible models of computation. The language contains semantics for module connections and synchronization required in analog and digital interaction. Through the synchronization layer, user defined models of computation, solvers and simulators can be unified in the SystemC AMS simulator for achieving low-level abstraction and model refinement. These improvements assist in amplifying model aspects and their contribution to the overall system behavior. This work presents cosimulating refined models with timed data flow paradigm of SystemC AMS. The methodology uses C-based interaction between simulators. An RTL model of data encryption standard is demonstrated as an example. The methodology is flexible and can be applied in early design decision tradeoff, architecture experimentation, and particularly for model refinement and critical behavior analysis.

Keywords

Embed System Critical Behavior Electronic Circuit Model Refinement Publisher Note 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Publisher note

To access the full article, please see PDF.

Copyright information

© Yaseen Zaidi et al. 2010

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Authors and Affiliations

  1. 1.Institute of Computer TechnologyVienna University of TechnologyViennaAustria

Personalised recommendations