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

Projektinformationen

Rising STARS

ID Finanzhilfevereinbarung: 873120

DOI

10.3030/873120

EK-Unterschriftsdatum 27 November 2019

Startdatum 1 Februar 2020

Enddatum 30 November 2025

Finanziert unter

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Gesamtkosten

€ 634 800,00

EU-Beitrag

€ 634 800,00

Koordiniert durch

OBSERVATOIRE DE PARIS
France

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Websites, patent fillings, videos etc. (1)

Project communication tools

Setting up the project portal and emails distribution lists social media accounts and project website

Documents, reports (8)

Year 3 progress report

Provide a report outlining the activity and results after year 3

Year 1 progress report

Provide a report outlining the activity and results after Year 1

Exploitation Plan

Provide a report containing an analysis of the exploitation context and business opportunities in domains with HPC realtime requirements and the associated methodology towards exploitation of the projects results

Mid-term review report

Provide a report after the midterm review with teh project office

Data acquisition solution specification document

Provide a report outlining the specifications of the data acquisition solution board firmware and API to be tested in the project

AO RTC platform specifications and design report

Provide a report outlining the specifications and the design of the adaptive optics realtime control platform to be implemented with an emphasis on scalability and portability

Analysis of the selected parallel programming models

Provide a report outlining the analysis of applicable parallel programming models and selection criteria to choose among them for the project

AO experiment for SSA conceptual design document

Provide a document containing the conceptual design of an adaptive optics experiment for Space Situational Awareness applications.

Demonstrators, pilots, prototypes (3)

SKA prototypes reference implementation SW

Provide a reference implementation SW for the SKA prototypes including a specification report as well as proper documentation

Data transfer and acquisition parallel programming model extensions

Provide a software package consisting in parallel programming model extensions for data transfer and acquisition

Real-time parallel programming model extensions

Provide a software package consisting in extension to parallel programming model for real-time applications

Veröffentlichungen

Conference proceedings (8)

Enabling real-time high-performance computing to advance on reliable and sustainable societies

Autoren: Sara Royuela, Eduardo Quinones, Damien Gratadour
Veröffentlicht in: (11th ACM Celebration of Women in Computing: womENcourage 2024), 2024
Herausgeber: ACM

Model-free reinforcement learning with a non-linear reconstructor for closed-loop adaptive optics control with a pyramid wavefront sensor

Autoren: B. Pou, J. Smith, E. Quinones, M. Martin, D. Gratadour
Veröffentlicht in: Adaptive Optics Systems VIII, edited by Laura Schreiber, Dirk Schmidt, Elise Vernet, 2022
Herausgeber: SPIE
DOI: 10.1117/12.2627849

Integrating deep neural networks with COSMIC for real-time control

Autoren: Bartomeu Pou Mulet, Florian Ferreira, Eduardo Quinones, Mario Martin, Damien Gratadour
Veröffentlicht in: Software and Cyberinfrastructure for Astronomy VIII, 2024, Seite(n) 24
Herausgeber: SPIE
DOI: 10.1117/12.3019710

A Non Linear Control Method with Reinforcement Learning for Adaptive Optics with Pyramid Sensors

Autoren: Pou, Bartomeu; Smith, Jeffrey; Quinones, Eduardo; Martin, Mario; Gratadour, Damien
Veröffentlicht in: SciOps 2022: Artificial Intelligence for Science and Operations in Astronomy, 2022
Herausgeber: ESO

A high-performance data acquisition on COTS hardware for astronomical instrumentation

Autoren: Julien Plante, Damien Gratadour, Lionel Matias, Cédric Viou, Elena Agostini
Veröffentlicht in: Software and Cyberinfrastructure for Astronomy VII, 2022
Herausgeber: SPIE
DOI: 10.1117/12.2627827

Denoising wavefront sensor images with deep neural networks

Autoren: B. Pou, E. Quiñones, D. Gratadour, M. Martin
Veröffentlicht in: Adaptive Optics Systems VII, 2020
Herausgeber: SPIE
DOI: 10.1117/12.2576242

Real-time high performance computing using a Jetson Xavier AGX

Autoren: Cyril Cetre, Florian Ferreira, Arnaud Sevin, Rémi Barrere and Damien Gratadour
Veröffentlicht in: 11th European Congress Embedded Real Time System, 2022
Herausgeber: ERTS

Automated Deployment of Radio Astronomy Pipeline on CPU-GPU Processing Systems: DiFX as a Case Study

Autoren: Ewen Michel, Ophélie Renaud, Karol Desnos, Adam T. Deller, Chris Phillips, Jean-François Nezan
Veröffentlicht in: Astronomical Data Analysis Software & Systems (ADASS) XXXIV, 2024
Herausgeber: ADASS

Peer reviewed articles (2)

Adaptive optics control with multi-agent model-free reinforcement learning

Autoren: B. Pou; F. Ferreira; E. Quinones; D. Gratadour; M. Martin
Veröffentlicht in: Optics Express, 2022, ISSN 1094-4087
Herausgeber: Optical Society of America
DOI: 10.1364/oe.444099

Integrating supervised and reinforcement learning for predictive control with an unmodulated pyramid wavefront sensor for adaptive optics

Autoren: Bartomeu Pou, Jeffrey Smith, Eduardo Quinones, Mario Martin, Damien Gratadour
Veröffentlicht in: Optics Express, Ausgabe 32, 2024, Seite(n) 37011, ISSN 1094-4087
Herausgeber: Optical Society of America
DOI: 10.1364/oe.530254

Book chapters (1)

Event-Based OpenMP Tasks for Time-Sensitive GPU-Accelerated Systems

Autoren: Cyril Cetre, Chenle Yu, Sara Royuela, Rémi Barrere, Eduardo Quiñones, Damien Gratadour
Veröffentlicht in: Lecture Notes in Computer Science, Advancing OpenMP for Future Accelerators, 2024, Seite(n) 31-45
Herausgeber: Springer Nature Switzerland
DOI: 10.1007/978-3-031-72567-8_3