@inproceedings{Ral2019,
Author = {Ralf Stemmer and Hai-Dang Vu and Kim Grüttner and Sebastien Le Nours and Wolfgang Nebel and Sebastien Pillement},
Title = {Experimental Evaluation of Probabilistic Execution-Time Modeling and Analysis Methods for SDF Applications on MPSoCs},

Year = {2019},
Booktitle = {International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS XIX)},
Url = {https://link.springer.com/chapter/10.1007/978-3-030-27562-4_17},
type = {inproceedings},
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 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.}
}
@COMMENT{Bibtex file generated on }