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Derivation of Parallel and Resilient Programs from Simulink Models

Sergey Ostroumov, Pontus Boström, Marina Walden, Derivation of Parallel and Resilient Programs from Simulink Models. In: Lisa O'Conner (Ed.), 23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, 416–420, Conference Publishing Services, 2015.

http://dx.doi.org/10.1109/PDP.2015.102

Abstract:

Modern embedded applications often require high computational power and, on the other hand, fulfilment of realtime constraints and high level of resilience. Simulink is one widely used tool for model-based development of embedded software. In this paper, we focus on the derivation of parallel programs from Simulink models and real-time resilient execution of derived implementations on a many-core platform. The main contribution is a fault-tolerance (FT) mechanism that prevents
data loss when the platform is dynamically reconfigured to mask failures of individual cores. Finally, we evaluate the proposed
solutions on an industrial case study using a commercially available NoC-based platform. The evaluation shows that the proposed FT mechanism has a marginal overhead.

BibTeX entry:

@INPROCEEDINGS{inpOsBoWa15a,
  title = {Derivation of Parallel and Resilient Programs from Simulink Models},
  booktitle = {23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing},
  author = {Ostroumov, Sergey and Boström, Pontus and Walden, Marina},
  editor = {O'Conner, Lisa},
  publisher = {Conference Publishing Services},
  pages = {416–420},
  year = {2015},
  ISSN = {1066-6192},
}

Belongs to TUCS Research Unit(s): Distributed Systems Laboratory (DS Lab)

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