RISE International Network for Solutions Technologies and Applications of Real-time Systems
Résumé du projet :
A runtime parallel framework for advanced real-time systems
There’s a need for runtime parallel frameworks that are compatible with high-performance computing (HPC) and can guarantee that decisions made at runtime maintain system correctness and proper timing. To meet this need, the EU-funded Rising STARS project aims to create a parallel programming framework for the development and execution of advanced, large-scale cyber-physical systems with HPC and real-time requirements. The project will also investigate new parallel programming extensions that will make it possible for developers to define the system’s real-time properties in terms of periodicity and timing constraints. The framework has the potential to enhance the performance of giant telescopes, the Square Kilometre Array and critical real-time embedded systems.
Objective
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.
Date de début : 01/02/2020
Date de fin : 31/01/2024
Budget Observatoire de Paris : 303 600 €
Budget total projet : 634 800 €
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement no 873120
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