Design space exploration for complex automotive applications: an engine control system case study

Khalid Latif 1 Manuel Selva 1 Charles Effiong 1 Roman Ursu 1 Abdoulaye Gamatié 1 Gilles Sassatelli 1 Leonardo Zordan 1 Luciano Ost 1 Piotr Dziurzanski 2 Leandro Soares Indrusiak 2
1 SysMIC - Conception et Test de Systèmes MICroélectroniques
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
2 University of York [York, UK]
Abstract : With technological advances, significant changes are taking place in automotive domain. Modern automobile combines functionalities ranging from safety critical functions such as control systems for engine to navigation and infotainment. To meet the performances requirements of these systems, automotive industry is shifting to multi-core systems. This increases the design complexity. Efficient and fast design space exploration frameworks are required to deal with this design complexity. This paper presents a framework for exploring automotive application design on multi-core systems. It considers an automotive-specific application modeling language named Amalthea and a distributed-memory multi-core system architecture for execution. The effectiveness of our framework is shown on an engine control application.
Type de document :
Communication dans un congrès
RAPIDO: Rapid Simulation and Performance Evaluation, Jan 2016, Prague, Czech Republic. 8th Workshop on Rapid Simulation and Performance Evaluation: Methods and Tools, 2016, 〈10.1145/2852339.2852341〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01265891
Contributeur : Manuel Selva <>
Soumis le : lundi 1 février 2016 - 16:49:10
Dernière modification le : mardi 9 octobre 2018 - 21:32:54

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Khalid Latif, Manuel Selva, Charles Effiong, Roman Ursu, Abdoulaye Gamatié, et al.. Design space exploration for complex automotive applications: an engine control system case study. RAPIDO: Rapid Simulation and Performance Evaluation, Jan 2016, Prague, Czech Republic. 8th Workshop on Rapid Simulation and Performance Evaluation: Methods and Tools, 2016, 〈10.1145/2852339.2852341〉. 〈lirmm-01265891〉

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