PiMM: Parameterized and Interfaced Dataflow Meta-Model for MPSoCs Runtime Reconfiguration

Karol Desnos (1, 2) , Maxime Pelcat (1) , Jean François Nezan (1) , Shuvra S. Bhattacharyya (3) , Slaheddine Aridhi (4)

1 IETR - Institut d'Électronique et des Technologies du numéRique
2 UEB - Université européenne de Bretagne - European University of Brittany
3 University of Maryland [College Park]
4 CIV Texas Instruments

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 exploitation of both static and adaptive task, data and pipeline parallelism. PiMM fosters design space exploration and reconfigurable resource allocation in a flexible dynamic dataflow context.

Mots clés: Embedded Systems; Modeling; Dataflow; Meta-Model; Reconfigurable; MPSoC

Domaines: Calcul parallèle, distribué et partagé [cs.DC]; Modélisation et simulation; Architectures Matérielles [cs.AR]; Systèmes embarqués

Karol Desnos, Maxime Pelcat, Jean François Nezan, Shuvra S. Bhattacharyya, Slaheddine Aridhi. PiMM: Parameterized and Interfaced Dataflow Meta-Model for MPSoCs Runtime Reconfiguration. 13th International Conference on Embedded Computer Systems: Architecture, Modeling and Simulation (SAMOS XIII), Jul 2013, Samos, Greece. pp.41-48. ⟨hal-00877492v1⟩