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Repetitive model refactoring strategy for the design space exploration of intensive signal processing applications

Calin Glitia 1, * Pierre Boulet 1 Eric Lenormand 2 Michel Barreteau 2 
* Corresponding author
1 DART - Contributions of the Data parallelism to real time
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe
Abstract : The efficient design of computation intensive multidimensional signal processing applications requires dealing with three kinds of constraints: those implied by the data dependencies, the non-functional requirements (real-time, power consumption) and resources availability of the execution platform. Modeling and Analysis of Real-time and Embedded systems (MARTE) UML profile through its repetitive structure modeling (RSM) package is well suited to model the inherent parallelism within these applications, a compact representation of parallel execution platforms and the distributive mapping of one on another. The execution of such a specification respects the whole set of constraints defined upon, while the quality of the scheduling is directly linked to the quality of the mapping of the multidimensional structures (data arrays or parallel loop nests) into time and space. We propose here a strategy to use a refactoring tool dedicated to this kind of application that allows to find good trade-offs in the usage of storage and computation resources and in parallelism (both task and data parallelism) exploitation. This strategy is illustrated on an industrial radar application.
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Calin Glitia, Pierre Boulet, Eric Lenormand, Michel Barreteau. Repetitive model refactoring strategy for the design space exploration of intensive signal processing applications. Journal of Systems Architecture, Elsevier, 2011, 57 (9), pp.815-829. ⟨10.1016/j.sysarc.2010.12.002⟩. ⟨inria-00605069⟩

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