The Organization of Computations for Uniform Recurrence Equations
Journal of the ACM (JACM)
Optimizing compilers for modern architectures: a dependence-based approach
Optimizing compilers for modern architectures: a dependence-based approach
Single Assignment C: efficient support for high-level array operations in a functional setting
Journal of Functional Programming
Semi-automatic composition of loop transformations for deep parallelism and memory hierarchies
International Journal of Parallel Programming
High Level Loop Transformations for Systematic Signal Processing Embedded Applications
SAMOS '08 Proceedings of the 8th international workshop on Embedded Computer Systems: Architectures, Modeling, and Simulation
Multidimensional Systems and Signal Processing
Architecture exploration for efficient data transfer and storage in data-parallel applications
EuroPar'10 Proceedings of the 16th international Euro-Par conference on Parallel processing: Part I
Multidimensional synchronous dataflow
IEEE Transactions on Signal Processing
A model-driven engineering framework for embedded systems design
Innovations in Systems and Software Engineering
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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.