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

Informacje na temat projektu

greenFLASH

Identyfikator umowy o grant: 671662

DOI 10.3030/671662

Projekt został zamknięty

Data podpisania przez KE 24 Czerwca 2015

Data rozpoczęcia 1 Października 2015

Data zakończenia 31 Grudnia 2018

Finansowanie w ramach

• EXCELLENT SCIENCE - Future and Emerging Technologies (FET)

Koszt całkowity € 3 760 793,75

Wkład UE € 3 760 793,75

Koordynowany przez

OBSERVATOIRE DE PARIS
France

Rezultaty

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

Publikacje

Conference proceedings (3)

Green FLASH: energy efficient real-time control for AO

Autorzy: 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
Opublikowane w: Adaptive Optics Systems V, 2016, Strona(/y) 99094I
Wydawca: SPIE
DOI: 10.1117/12.2232642

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

Autorzy: F. Ferreira, E. Gendron, G. Rousset, D. Gratadour
Opublikowane w: Adaptive Optics Systems V, 2016, Strona(/y) 990979
Wydawca: SPIE
DOI: 10.1117/12.2231573

Bridging FPGA and GPU technologies for AO real-time control

Autorzy: Denis Perret, Maxime Lainé, Julien Bernard, Damien Gratadour, Arnaud Sevin
Opublikowane w: Adaptive Optics Systems V, 2016, Strona(/y) 99094M
Wydawca: SPIE
DOI: 10.1117/12.2232858