Description du projet
Un cadre parallèle d’exécution pour les systèmes temps réel avancés
Il est nécessaire de disposer de cadres parallèles d’exécution compatibles avec le calcul haute performance (HPC) et capables de garantir que les décisions prises lors de l’exécution n’affectent ni son bon fonctionnement ni sa bonne synchronisation. Pour répondre à ce besoin, le projet Rising STARS, financé par l’UE, entend créer un framework de programmation parallèle pour le développement et l’exécution de systèmes cyberphysiques avancés à grande échelle avec des exigences en matière de HPC et de calcul en temps réel. Le projet étudiera également de nouvelles extensions de programmation parallèle qui permettront aux développeurs de définir les propriétés en temps réel du système, en termes de périodicité et de contraintes de temps. Ce framework a le potentiel d’améliorer les performances des télescopes géants, du Square Kilometre Array et des systèmes embarqués critiques en temps réel.
Objectif
The main goal of Rising STARS is to enable a parallel programming framework for the development and execution of advanced large-scale Cyber Physical Systems (CPS) with High Performance Computing (HPC) and real-time requirements. Overall, there is an urgent necessity to develop run-time parallel frameworks, compatible with HPC, capable of guaranteeing that decisions made at run-time maintains the guarantees about system correctness and timing behavior. These new run-time capabilities however, cannot preclude the ability of run-times to dynamically adapt the execution to new working conditions or changing modes of operation of CPS to maximise the utilisation and performance capabilities of parallel heterogeneous architectures.
A key element of the Rising STARS framework will be the incorporation of a unified, efficient and highly configurable data acquisition strategy fully integrated in the parallel programming models with the objective of improving productivity in CPS software development. Exposing the data-acquisition to the programmer (by including it into the parallel programming model) is also key to overlap data-transfers with computation. Another objective of the project is to add this capability in existing programming models for HPC and to investigate new parallel programming extensions to allow developers to define the real-time properties of the system in terms of periodicity and timing constraints. Finally, one of our main objectives is to implement several demonstration platforms to promote the main technological developments of this R&I action and their performance under realistic conditions, including Adaptive Optics for giant telescopes and SSA experiments, data processsing for SKA, and critical real-time embedded systems.
Champ scientifique
- natural sciencescomputer and information sciencessoftwaresoftware development
- social scienceseconomics and businesseconomicsproduction economicsproductivity
- natural sciencesphysical sciencesoptics
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcomputer hardwaresupercomputers
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MSCA-RISE - Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE)Coordinateur
75014 Paris
France