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dc.contributor.authorAaij, R.
dc.contributor.authorAdinolfi, M.
dc.contributor.authorAiola, S.
dc.contributor.authorAkar, S.
dc.contributor.authorAlbrecht, J.
dc.contributor.authorAlexander, M.
dc.contributor.authorAmato, S.
dc.contributor.authorAmhis, Y.
dc.contributor.authorArchilli, F.
dc.contributor.authorBala, M.
dc.contributor.authorBassi, G.
dc.contributor.authorBian, L.
dc.contributor.authorBlago, M. P.
dc.contributor.authorBoettcher, T.
dc.date.accessioned2022-01-10T13:45:49Z
dc.date.available2022-01-10T13:45:49Z
dc.date.issued2021-12-22
dc.identifier.urihttps://hdl.handle.net/1721.1/138852
dc.description.abstractAbstract The Large Hadron Collider beauty (LHCb) experiment at CERN is undergoing an upgrade in preparation for the Run 3 data collection period at the Large Hadron Collider (LHC). As part of this upgrade, the trigger is moving to a full software implementation operating at the LHC bunch crossing rate. We present an evaluation of a CPU-based and a GPU-based implementation of the first stage of the high-level trigger. After a detailed comparison, both options are found to be viable. This document summarizes the performance and implementation details of these options, the outcome of which has led to the choice of the GPU-based implementation as the baseline.en_US
dc.publisherSpringer International Publishingen_US
dc.relation.isversionofhttps://doi.org/10.1007/s41781-021-00070-2en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceSpringer International Publishingen_US
dc.titleA Comparison of CPU and GPU Implementations for the LHCb Experiment Run 3 Triggeren_US
dc.typeArticleen_US
dc.identifier.citationComputing and Software for Big Science. 2021 Dec 22;6(1):1en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Physics
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2022-01-09T04:10:05Z
dc.language.rfc3066en
dc.rights.holderThe Author(s)
dspace.embargo.termsN
dspace.date.submission2022-01-09T04:10:05Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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