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Triggering events with GPUs at ATLAS

dc.contributor.authorKama, S.
dc.contributor.authorSoares, J.Augusto
dc.contributor.authorBaines, J.
dc.contributor.authorBauce, M.
dc.contributor.authorBold, T.
dc.contributor.authorMuino, P.Conde
dc.contributor.authorEmeliyanov, D.
dc.contributor.authorGoncalo, R.
dc.contributor.authorMessina, A.
dc.contributor.authorNegrini, M.
dc.contributor.authorRinaldi, L.
dc.contributor.authorSidoti, A.
dc.contributor.authorDelgado, A.Tavares
dc.contributor.authorTupputi, S.
dc.contributor.authorLopes, L.Vaz Gil
dc.date.accessioned2019-02-04T09:00:13Z
dc.date.available2019-02-04T09:00:13Z
dc.date.issued2015-12-23
dc.date.updated2019-02-04T09:00:13Z
dc.description.abstractThe growing complexity of events produced in LHC collisions demands increasing computing power both for the online selection and for the offline reconstruction of events. In recent years there have been significant advances in the performance of Graphics Processing Units (GPUs) both in terms of increased compute power and reduced power consumption that make GPUs extremely attractive for use in a complex particle physics experiments such as ATLAS. A small scale prototype of the full ATLAS High Level Trigger has been implemented that exploits reconstruction algorithms optimized for this new massively parallel paradigm. We discuss the integration procedure followed for this prototype and present the performance achieved and the prospects for the future.
dc.description.versionPeer Reviewed
dc.identifierJ.Phys.Conf.Ser. 664 (2015) 092014; DOI 10.1088/1742-6596/664/9/092014
dc.identifier.urihttp://dx.doi.org/10.1088/1742-6596/664/9/092014
dc.identifier.urihttp://hdl.handle.net/10400.26/27006
dc.language.isoeng
dc.titleTriggering events with GPUs at ATLAS
dc.typejournal article
dspace.entity.typePublication
rcaap.rightsopenAccesspt
rcaap.typearticle

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