Back to Search Start Over

PiMM: Parameterized and Interfaced dataflow Meta-Model for MPSoCs runtime reconfiguration

Authors :
Jean-Francois Nezan
Shuvra S. Bhattacharyya
Karol Desnos
Slaheddine Aridhi
Maxime Pelcat
Institut d'Électronique et des Technologies du numéRique (IETR)
Nantes Université (NU)-Université de Rennes 1 (UR1)
Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes)
Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)
University of Maryland [College Park]
University of Maryland System
CIV Texas Instruments
Texas Instruments
Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes)
Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)
Université de Nantes (UN)-Université de Rennes 1 (UR1)
Source :
Proceedings of the 13th International Conference on Embedded Computer Systems: Architecture, Modeling and Simulation (SAMOS XIII), 13th International Conference on Embedded Computer Systems: Architecture, Modeling and Simulation (SAMOS XIII), 13th International Conference on Embedded Computer Systems: Architecture, Modeling and Simulation (SAMOS XIII), Jul 2013, Samos, Greece. pp.41-48, ⟨10.1109/SAMOS.2013.6621104⟩, ICSAMOS
Publication Year :
2013
Publisher :
HAL CCSD, 2013.

Abstract

International audience; —Dataflow models of computation are widely used for the specification, analysis, and optimization of Digital Signal Processing (DSP) applications. In this paper a new meta-model called PiMM is introduced to address the important challenge of managing dynamics in DSP-oriented representations. PiMM extends a dataflow model by introducing an explicit parameter dependency tree and an interface-based hierarchical compositionality mechanism. PiMM favors the design of highly-efficient heterogeneous multicore systems, specifying algorithms with customizable trade-offs among predictability and exploita-tion of both static and adaptive task, data and pipeline paral-lelism. PiMM fosters design space exploration and reconfigurable resource allocation in a flexible dynamic dataflow context.

Details

Language :
English
Database :
OpenAIRE
Journal :
Proceedings of the 13th International Conference on Embedded Computer Systems: Architecture, Modeling and Simulation (SAMOS XIII), 13th International Conference on Embedded Computer Systems: Architecture, Modeling and Simulation (SAMOS XIII), 13th International Conference on Embedded Computer Systems: Architecture, Modeling and Simulation (SAMOS XIII), Jul 2013, Samos, Greece. pp.41-48, ⟨10.1109/SAMOS.2013.6621104⟩, ICSAMOS
Accession number :
edsair.doi.dedup.....c9cc05347afe9ff4779c4bb9e0ec111c
Full Text :
https://doi.org/10.1109/SAMOS.2013.6621104⟩