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

Informazioni relative al progetto

greenFLASH

ID dell’accordo di sovvenzione: 671662

DOI 10.3030/671662

Progetto chiuso

Data della firma CE 24 Giugno 2015

Data di avvio 1 Ottobre 2015

Data di completamento 31 Dicembre 2018

Finanziato da

• EXCELLENT SCIENCE - Future and Emerging Technologies (FET)

Costo totale € 3 760 793,75

Contributo UE € 3 760 793,75

Coordinato da

OBSERVATOIRE DE PARIS
France

Risultati finali

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

Pubblicazioni

Conference proceedings (3)

Green FLASH: energy efficient real-time control for AO

Autori: 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
Pubblicato in: Adaptive Optics Systems V, 2016, Pagina/e 99094I
Editore: SPIE
DOI: 10.1117/12.2232642

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

Autori: F. Ferreira, E. Gendron, G. Rousset, D. Gratadour
Pubblicato in: Adaptive Optics Systems V, 2016, Pagina/e 990979
Editore: SPIE
DOI: 10.1117/12.2231573

Bridging FPGA and GPU technologies for AO real-time control

Autori: Denis Perret, Maxime Lainé, Julien Bernard, Damien Gratadour, Arnaud Sevin
Pubblicato in: Adaptive Optics Systems V, 2016, Pagina/e 99094M
Editore: SPIE
DOI: 10.1117/12.2232858