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Discovering Matter-Antimatter Asymmetries with GPUs

The search for matter-antimatter asymmetries requires highest precision analyses and thus very large datasets and intensive computing. This contribution discusses two complemen- tary approaches where GPU systems have been successfully exploited in this area. Both approaches make use of the CUDA Thru...

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Autor principal: Reichert, Stefanie
Lenguaje:eng
Publicado: 2015
Materias:
Acceso en línea:https://dx.doi.org/10.3204/DESY-PROC-2014-05/25
http://cds.cern.ch/record/2043875
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author Reichert, Stefanie
author_facet Reichert, Stefanie
author_sort Reichert, Stefanie
collection CERN
description The search for matter-antimatter asymmetries requires highest precision analyses and thus very large datasets and intensive computing. This contribution discusses two complemen- tary approaches where GPU systems have been successfully exploited in this area. Both approaches make use of the CUDA Thrust library which can be used on supported GPUs. The first approach is a generic search for local asymmetries in phase-space distributions of matter and antimatter particle decays. This powerful analysis method has never been used to date due to its high demand in CPU time. The second approach uses the GooFit framework, which is a generic fitting framework that exploits massive parallelisation on GPUs
id oai-inspirehep.net-1386631
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
record_format invenio
spelling oai-inspirehep.net-13866312019-09-30T06:29:59Zdoi:10.3204/DESY-PROC-2014-05/25http://cds.cern.ch/record/2043875engReichert, StefanieDiscovering Matter-Antimatter Asymmetries with GPUsParticle Physics - ExperimentThe search for matter-antimatter asymmetries requires highest precision analyses and thus very large datasets and intensive computing. This contribution discusses two complemen- tary approaches where GPU systems have been successfully exploited in this area. Both approaches make use of the CUDA Thrust library which can be used on supported GPUs. The first approach is a generic search for local asymmetries in phase-space distributions of matter and antimatter particle decays. This powerful analysis method has never been used to date due to its high demand in CPU time. The second approach uses the GooFit framework, which is a generic fitting framework that exploits massive parallelisation on GPUsoai:inspirehep.net:13866312015
spellingShingle Particle Physics - Experiment
Reichert, Stefanie
Discovering Matter-Antimatter Asymmetries with GPUs
title Discovering Matter-Antimatter Asymmetries with GPUs
title_full Discovering Matter-Antimatter Asymmetries with GPUs
title_fullStr Discovering Matter-Antimatter Asymmetries with GPUs
title_full_unstemmed Discovering Matter-Antimatter Asymmetries with GPUs
title_short Discovering Matter-Antimatter Asymmetries with GPUs
title_sort discovering matter-antimatter asymmetries with gpus
topic Particle Physics - Experiment
url https://dx.doi.org/10.3204/DESY-PROC-2014-05/25
http://cds.cern.ch/record/2043875
work_keys_str_mv AT reichertstefanie discoveringmatterantimatterasymmetrieswithgpus