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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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Detalles Bibliográficos
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
Descripción
Sumario: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