Pipelining Computational Stages of the Tomographic Reconstructor for Multi-Object Adaptive Optics on a Multi?GPU System

Handle URI:
http://hdl.handle.net/10754/624933
Title:
Pipelining Computational Stages of the Tomographic Reconstructor for Multi-Object Adaptive Optics on a Multi?GPU System
Authors:
Charara, Ali ( 0000-0002-9509-7794 ) ; Ltaief, Hatem ( 0000-0002-6897-1095 ) ; Gratadour, Damien; Keyes, David E. ( 0000-0002-4052-7224 ) ; Sevin, Arnaud; Abdelfattah, Ahmad ( 0000-0001-5054-4784 ) ; Gendron, Eric; Morel, Carine; Vidal, Fabrice
Abstract:
European Extreme Large Telescope (E-ELT) is a high priority project in ground based astronomy that aims at constructing the largest telescope ever built. MOSAIC is an instrument proposed for E-ELT using Multi- Object Adaptive Optics (MOAO) technique for astronomical telescopes, which compensates for effects of atmospheric turbulence on image quality, and operates on patches across a large FoV.
KAUST Department:
Computer, Electrical and Mathematical Sciences & Engineering (CEMSE)
Conference/Event name:
SHAXC-2 Workshop 2014
Issue Date:
4-May-2014
Type:
Poster
Appears in Collections:
Posters; Scalable Hierarchical Algorithms for eXtreme Computing (SHAXC-2) Workshop 2014

Full metadata record

DC FieldValue Language
dc.contributor.authorCharara, Alien
dc.contributor.authorLtaief, Hatemen
dc.contributor.authorGratadour, Damienen
dc.contributor.authorKeyes, David E.en
dc.contributor.authorSevin, Arnauden
dc.contributor.authorAbdelfattah, Ahmaden
dc.contributor.authorGendron, Ericen
dc.contributor.authorMorel, Carineen
dc.contributor.authorVidal, Fabriceen
dc.date.accessioned2017-06-12T10:24:00Z-
dc.date.available2017-06-12T10:24:00Z-
dc.date.issued2014-05-04-
dc.identifier.urihttp://hdl.handle.net/10754/624933-
dc.description.abstractEuropean Extreme Large Telescope (E-ELT) is a high priority project in ground based astronomy that aims at constructing the largest telescope ever built. MOSAIC is an instrument proposed for E-ELT using Multi- Object Adaptive Optics (MOAO) technique for astronomical telescopes, which compensates for effects of atmospheric turbulence on image quality, and operates on patches across a large FoV.en
dc.titlePipelining Computational Stages of the Tomographic Reconstructor for Multi-Object Adaptive Optics on a Multi?GPU Systemen
dc.typePosteren
dc.contributor.departmentComputer, Electrical and Mathematical Sciences & Engineering (CEMSE)en
dc.conference.dateMay 4-6, 2014en
dc.conference.nameSHAXC-2 Workshop 2014en
dc.conference.locationKAUSTen
dc.contributor.institutionObservatoire de Parisen
kaust.authorCharara, Alien
kaust.authorLtaief, Hatemen
kaust.authorKeyes, David E.en
kaust.authorAbdelfattah, Ahmaden
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