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dc.contributor.authorCharara, Ali
dc.contributor.authorLtaief, Hatem
dc.contributor.authorGratadour, Damien
dc.contributor.authorKeyes, David E.
dc.contributor.authorSevin, Arnaud
dc.contributor.authorAbdelfattah, Ahmad
dc.contributor.authorGendron, Eric
dc.contributor.authorMorel, Carine
dc.contributor.authorVidal, Fabrice
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.
dc.titlePipelining Computational Stages of the Tomographic Reconstructor for Multi-Object Adaptive Optics on a Multi?GPU System
dc.typePoster
dc.contributor.departmentApplied Mathematics and Computational Science Program
dc.contributor.departmentComputer Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentExtreme Computing Research Center
dc.conference.dateMay 4-6, 2014
dc.conference.nameSHAXC-2 Workshop 2014
dc.conference.locationKAUST
dc.contributor.institutionObservatoire de Paris
kaust.personCharara, Ali
kaust.personLtaief, Hatem
kaust.personKeyes, David E.
kaust.personAbdelfattah, Ahmad
refterms.dateFOA2018-06-13T12:35:32Z


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