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| About the project : Project-Team site Activity report Videos and photos Research reports Theses Theme : Com Communicating systems Lille - Nord Europe research center |
The DART project-team contributes to this research field by the three following items:
We define our own metamodels to specify application, architecture, and (software hardware) association. These metamodels present new characteristics as high level data parallel constructions, iterative dependency expression, data flow and control flow mixing, hierarchical and repetitive application and architecture models. All these metamodels are implemented with UML profiles in respect to the MOF specifications.
We develop automatic transformations of data parallel constructions. They are used to map and to schedule an application on a particular architecture. This architecture is by nature heterogeneous and appropriate techniques used in the high performance community can be adapted. New heuristics to minimize the power consumption are developed. This new objective implies to specify multi criteria optimization techniques to achieve the mapping and the scheduling.
The data flow philosophy of our metamodel is particularly well suited to a distributed simulation. We have developed a more general distributed environment to support the execution of Kahn Process Networks. This kind of simulation is at the functional level. To take care of the architecture model and the mapping of the application on it, we propose to use the SystemC platform to simulate at different levels of abstraction the result of the SoC design. This simulation allows to verify the adequacy of the mapping and the schedule (communication delay, load balancing, memory allocation...). We also support IP integration with different levels of specification (functional, timed functional, transaction and cycle accurate byte accurate levels).
Partners: THALES Communications, THALES Underwater Systems, Esterel Technologies, LIFL, Philips, IPiTEC and ENEA.
Partners: Esterel Technologies, THALES Communications, INRIA (Sosso), LIFL, Nokia, University of Technology of Tampere and University of Turku.
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