Rising STARS · RISE International Network for Solutions Technologies and Applications of Real-time Systems

RISE International Network for Solutions Technologies and Applications of Real-time Systems

Cyber-Physical Systems (CPS), traditionally composed of embedded computing platforms and sensors/actuators in charge of coordinating and integrating cyber (computational) and physical processes, are increasingly required to exhibit a high degree of autonomy and intelligence to address societal, industrial and scientific challenges across multiple application domains for autonomous and safe mobility, sustainable production and smart manufacturing, giant scientific installations, etc .. This trend is however challenging the development of the newest CPS, which increasingly require high-performance capabilities to coordinate and integrate very complex computational and physical processes, while requiring to fulfil non-functional constraints such as energy efficiency or real-time response imposed due to interactions between the cyber and physical world. One prominent example of the new CPS are the next generation of giant scientific equipment such as the European Extremely Large Telescope (ELT) or the Square Kilometer Array (SKA). High Performance Computing (HPC) has become a critical component to optimize the design of these science mega-factories and produce high-level scientific data for hundreds of research teams. The main goal of Rising STARS is to extend parallel programming frameworks for the development and execution of advanced large-scale CPS with HPC and real-time requirements. In order to meet the real-time constraints while assimilating vast amounts of data, the mechanism of acquiring these data have to be interleaved with the computations in an optimized way while keeping three main characteristics of these CPS: flexible, deterministic and high performance. To that end, we have defined 6 core objectives: * Objective #1: enable a versatile and efficient data acquisition platform based on FPGA. * Objective #2: expose data acquisition mechanisms in the programming model. * Objective #3: introduce real-time oriented features in the programming model. * Objective #4: develop a technology demonstration platform for Adaptive Optics (AO) on giant telescopes. * Objective #5: lead a case study for data processing on SKA. * Objective #6: leverage similar technological solutions for other applications. Our strategy is based on a strong interaction between academic and industrial partners. Beyond technological developments, we will rely on an in situ implementation of our solutions on challenging prototypes for large scale scientific experiments with world wide visibility.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз