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Triggering events with GPU at ATLAS

The growing complexity of events produced in LHC collisions demands more and more computing power both for the on line selection and for the offline reconstruction of events. In recent years, the explosive performance growth of massively parallel processors like Graphical Processing Units both in co...

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Autor principal: Kama, Sami
Lenguaje:eng
Publicado: 2015
Materias:
Acceso en línea:http://cds.cern.ch/record/2007804
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author Kama, Sami
author_facet Kama, Sami
author_sort Kama, Sami
collection CERN
description The growing complexity of events produced in LHC collisions demands more and more computing power both for the on line selection and for the offline reconstruction of events. In recent years, the explosive performance growth of massively parallel processors like Graphical Processing Units both in computing power and in low energy consumption, make GPU extremely attractive for using them in a complex high energy experiment like ATLAS. Together with the optimization of reconstruction algorithms exploiting this new massively parallel paradigm, a small scale prototype of the full ATLAS High Level Trigger exploiting GPU has been implemented. We discuss the integration procedure of this prototype, the achieved performance and the prospects for the future.
id cern-2007804
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
record_format invenio
spelling cern-20078042019-09-30T06:29:59Zhttp://cds.cern.ch/record/2007804engKama, SamiTriggering events with GPU at ATLASParticle Physics - ExperimentThe growing complexity of events produced in LHC collisions demands more and more computing power both for the on line selection and for the offline reconstruction of events. In recent years, the explosive performance growth of massively parallel processors like Graphical Processing Units both in computing power and in low energy consumption, make GPU extremely attractive for using them in a complex high energy experiment like ATLAS. Together with the optimization of reconstruction algorithms exploiting this new massively parallel paradigm, a small scale prototype of the full ATLAS High Level Trigger exploiting GPU has been implemented. We discuss the integration procedure of this prototype, the achieved performance and the prospects for the future.ATL-DAQ-SLIDE-2015-167oai:cds.cern.ch:20078042015-04-09
spellingShingle Particle Physics - Experiment
Kama, Sami
Triggering events with GPU at ATLAS
title Triggering events with GPU at ATLAS
title_full Triggering events with GPU at ATLAS
title_fullStr Triggering events with GPU at ATLAS
title_full_unstemmed Triggering events with GPU at ATLAS
title_short Triggering events with GPU at ATLAS
title_sort triggering events with gpu at atlas
topic Particle Physics - Experiment
url http://cds.cern.ch/record/2007804
work_keys_str_mv AT kamasami triggeringeventswithgpuatatlas