Ralf Stemmer and Hai-Dang Vu and Kim Grüttner and Sebastien Le Nours and Wolfgang Nebel and Sebastien Pillement
International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS XIX)
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.