Green Flash, energy efficient high performance computing for real-time science

Project Information

greenFLASH

Grant agreement ID: 671662

DOI 10.3030/671662

Project closed

EC signature date 24 June 2015

Start date 1 October 2015

End date 31 December 2018

Funded under

• EXCELLENT SCIENCE - Future and Emerging Technologies (FET)

Total cost € 3 760 793,75

EU contribution € 3 760 793,75

Coordinated by

OBSERVATOIRE DE PARIS
France

Deliverables

Documents, reports (21)

Cluster HW test report
Full scale prototype final design
Energy efficiency report
Prototypes final performance report
Smart features to middleware test report
Simulator HW final design report
Middleware performance report
Alternative control strategies perf. report
Development processes final report
Smart interconnect performance report
Simulator performance report
GPU cluster for RT-box design & btest

GPU cluster for RT-box design and btest

Simulator SW final design report
SPARTA integration performance report
RTC prototype performance report
Integration and tests documentation
MIC cluster for RT-box design & test

MIC cluster for RT-box design rand test

New supervision strategies perf. report
Simulator interface definition document
FPGA cluster for RT-box design and test
Full prototype final performance rep.

Websites, patent fillings, videos etc. (1)

Project public website

Publications

Conference proceedings (3)

Green FLASH: energy efficient real-time control for AO

Author(s): D. Gratadour, N. Dipper, R. Biasi, H. Deneux, J. Bernard, J. Brule, R. Dembet, N. Doucet, F. Ferreira, E. Gendron, M. Laine, D. Perret, G. Rousset, A. Sevin, U. Bitenc, D. Geng, E. Younger, M. Andrighettoni, G. Angerer, C. Patauner, D. Pescoller, F. Porta, G. Dufourcq, A. Flaischer, J.-B. Leclere, A. Nai, P. Palazzari, D. Pretet, C. Rouaud
Published in: Adaptive Optics Systems V, 2016, Page(s) 99094I
Publisher: SPIE
DOI: 10.1117/12.2232642

Deriving comprehensive error breakdown for wide field adaptive optics systems using end-to-end simulations

Author(s): F. Ferreira, E. Gendron, G. Rousset, D. Gratadour
Published in: Adaptive Optics Systems V, 2016, Page(s) 990979
Publisher: SPIE
DOI: 10.1117/12.2231573

Bridging FPGA and GPU technologies for AO real-time control

Author(s): Denis Perret, Maxime Lainé, Julien Bernard, Damien Gratadour, Arnaud Sevin
Published in: Adaptive Optics Systems V, 2016, Page(s) 99094M
Publisher: SPIE
DOI: 10.1117/12.2232858