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Communication Dans Un Congrès Année : 2019

Experimental Evaluation of Probabilistic Execution-Time Modeling and Analysis Methods for SDF Applications on MPSoCs

Résumé

Early validation of software running on multi-processor platforms is fundamental to guarantee that real-time constraints will be fully met. In the domain of timing analysis probabilistic simulation techniques tackle the problem of scalability. However, creation of probabilistic SystemC models remains a difficult task and is not well supported for multi-processors systems. In this paper we present a modeling workflow that will then be used for an experimental evaluation of probabilistic simulation techniques. For the modeling process a measurement-based approach is proposed to favor the creation of trustful models. The evaluated probabilistic simulation techniques demonstrate good potential to deliver fast yet accurate estimations for multi-processor systems.
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Dates et versions

hal-02115121 , version 1 (26-07-2024)

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Ralf Stemmer, Hai-Dang Vu, Kim Grüttner, Sébastien Le Nours, Wolfgang Nebel, et al.. Experimental Evaluation of Probabilistic Execution-Time Modeling and Analysis Methods for SDF Applications on MPSoCs. 19th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS XIX), Jul 2019, Samos, Greece. pp.241-254, ⟨10.1007/978-3-030-27562-4_17⟩. ⟨hal-02115121⟩
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