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Preparing ATLAS Distributed Computing for LHC Run 2

ATLAS software and computing is in a period of intensive evolution. The current long shutdown presents an opportunity to assimilate lessons from the very successful Run 1 (2009-2013) and to prepare for the substantially increased computing requirements for Run 2 (from spring 2015). Run 2 will bring...

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Autor principal: Lancon, E
Lenguaje:eng
Publicado: 2014
Materias:
Acceso en línea:http://cds.cern.ch/record/1690115
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author Lancon, E
author_facet Lancon, E
author_sort Lancon, E
collection CERN
description ATLAS software and computing is in a period of intensive evolution. The current long shutdown presents an opportunity to assimilate lessons from the very successful Run 1 (2009-2013) and to prepare for the substantially increased computing requirements for Run 2 (from spring 2015). Run 2 will bring a near doubling of the energy and the data rate, high event pile-up levels, and higher event complexity from detector upgrades, meaning the number and complexity of events to be analyzed will increase dramatically. At the same time operational loads must be reduced through greater automation, a wider array of opportunistic resources must be supported, costly storage must be used with greater efficiency, a sophisticated new analysis model must be integrated, and concurrency features of new processors must be exploited. This presentation will survey the distributed computing aspects of the upgrade program and the plans for 2014 to exercise the new capabilities in a large scale Data Challenge.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2014
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spelling cern-16901152019-09-30T06:29:59Zhttp://cds.cern.ch/record/1690115engLancon, EPreparing ATLAS Distributed Computing for LHC Run 2Detectors and Experimental TechniquesATLAS software and computing is in a period of intensive evolution. The current long shutdown presents an opportunity to assimilate lessons from the very successful Run 1 (2009-2013) and to prepare for the substantially increased computing requirements for Run 2 (from spring 2015). Run 2 will bring a near doubling of the energy and the data rate, high event pile-up levels, and higher event complexity from detector upgrades, meaning the number and complexity of events to be analyzed will increase dramatically. At the same time operational loads must be reduced through greater automation, a wider array of opportunistic resources must be supported, costly storage must be used with greater efficiency, a sophisticated new analysis model must be integrated, and concurrency features of new processors must be exploited. This presentation will survey the distributed computing aspects of the upgrade program and the plans for 2014 to exercise the new capabilities in a large scale Data Challenge.ATL-SOFT-SLIDE-2014-121oai:cds.cern.ch:16901152014-03-26
spellingShingle Detectors and Experimental Techniques
Lancon, E
Preparing ATLAS Distributed Computing for LHC Run 2
title Preparing ATLAS Distributed Computing for LHC Run 2
title_full Preparing ATLAS Distributed Computing for LHC Run 2
title_fullStr Preparing ATLAS Distributed Computing for LHC Run 2
title_full_unstemmed Preparing ATLAS Distributed Computing for LHC Run 2
title_short Preparing ATLAS Distributed Computing for LHC Run 2
title_sort preparing atlas distributed computing for lhc run 2
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/1690115
work_keys_str_mv AT lancone preparingatlasdistributedcomputingforlhcrun2