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2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP) (2016)
Heraklion, Crete, Greece
Feb. 17, 2016 to Feb. 19, 2016
ISSN: 2377-5750
ISBN: 978-1-4673-8775-0
pp: 27-34
ABSTRACT
To address the high level of dynamism and variability in modern streaming applications (e.g. video decoding) as well as the difficulties in programming heterogeneous MPSoCs, we propose a novel execution model based upon both dataflow and Kahn process networks. This paper presents the semantics and properties of this hierarchical and parametric model, called DKPN. Parameters are classified and it is shown that hints can be derived to improve the execution. A scheduler framework and policies to back the model are also exposed. Experiments illustrate the benefits of our approach.
INDEX TERMS
Semantics, Software, Aerospace electronics, Decoding, Computational modeling, Hardware, Dynamic scheduling
CITATION

P. Arras, D. Fuin, E. Jeannot and S. Thibault, "DKPN: A Composite Dataflow/Kahn Process Networks Execution Model," 2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), Heraklion, Crete, Greece, 2016, pp. 27-34.
doi:10.1109/PDP.2016.34
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