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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

Abstract. 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 dicult task and is not well supported for multiprocessors systems. In this paper we present a modeling work ow 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. Using this approach, worst case end-to-end latency can be estimated with approximation close to 3% and 11% compared to real implementation. The evaluated probabilistic simulation techniques demonstrate good potential to deliver fast yet accurate estimations for multi-processor systems.

Domaines

Electronique Autre
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Dates et versions

hal-02115121 , version 1 (30-04-2019)

Identifiants

  • HAL Id : hal-02115121 , version 1

Citer

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. International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS XIX), Jul 2019, Samos, Greece. paper #28. ⟨hal-02115121⟩
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