SystemC Multiprocessor RTOS model for services distribution on RTOS platforms

Autor: Emmanuel Huck, Benoit Miramond, Thomas Lefebvre, François Verdier
Přispěvatelé: ASTRE [Cergy-Pontoise], Equipes Traitement de l'Information et Systèmes (ETIS - UMR 8051), CY Cergy Paris Université (CY)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-CY Cergy Paris Université (CY)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA), CY Cergy Paris Université (CY)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA), Thales Research and Technology [Palaiseau], THALES, Laboratoire d'Electronique, Antennes et Télécommunications (LEAT), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Springer
Jazyk: angličtina
Rok vydání: 2011
Předmět:
Zdroj: Lecture Notes in Electrical Engineering-Algorithm-Architecture Matching for Signal and Image Processing
Springer. Lecture Notes in Electrical Engineering-Algorithm-Architecture Matching for Signal and Image Processing, pp.197-216, 2011, ⟨10.1007/978-90-481-9965-5_9⟩
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Lecture Notes in Electrical Engineering ISBN: 9789048199648
DOI: 10.1007/978-90-481-9965-5_9⟩
Popis: This paper addresses the problem of image processing algorithms and architecture adequacy by considering the need of custom operating systems in the context of multiprocessor Systems-on-Chip. We adopt a high-level approach for modeling the system that brings together the application, operating system and architecture in a single framework for the design space exploration. We have developed a configurable and modular SystemC model of multiprocessor-distributed operating systems. This model brings about new modeling properties at high-level in comparison with existing modeling frameworks. We also developed a graphical modeling environment that makes use of the modularity of the model to facilitate the design and provide automatic code generation. Thanks to this approach, both the algorithm-architecture matching and the RTOS service distribution can be jointly and easily explored at an early stage in the design flow. We present experimental results in the context of artificial vision for mobile robots and show that our method produces a good trade-off between estimation accuracy and simulation time.
Databáze: OpenAIRE