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Current and future performance of the CMS simulation

The CMS full simulation using Geant4 has delivered billions of simulated events for analysis during Runs 1 and 2 of the LHC. However, the HL-LHC dataset will be an order of magnitude larger, with a similar increase in occupancy per event. In addition, the upgraded CMS detector will be considerably m...

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Autor principal: Pedro, Kevin Jerome
Lenguaje:eng
Publicado: 2018
Materias:
Acceso en línea:https://dx.doi.org/10.1051/epjconf/201921402036
http://cds.cern.ch/record/2644393
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author Pedro, Kevin Jerome
author_facet Pedro, Kevin Jerome
author_sort Pedro, Kevin Jerome
collection CERN
description The CMS full simulation using Geant4 has delivered billions of simulated events for analysis during Runs 1 and 2 of the LHC. However, the HL-LHC dataset will be an order of magnitude larger, with a similar increase in occupancy per event. In addition, the upgraded CMS detector will be considerably more complex, with an extended silicon tracker and a high granularity calorimeter in the endcap region. Increases in conventional computing resources are subject to both technological and budgetary limitations, so novel approaches are needed to improve software efficiency and to take advantage of new architectures and heterogeneous resources. Several projects are in development to address these needs, including the vectorized geometry library VecGeom and the GeantV transport engine, which uses track-level parallelization. The current computing performance of the CMS simulation will be presented as a baseline, along with an overview of the various optimizations already available for Geant4. Finally, the progress and outlook for integrating VecGeom and GeantV in the CMS software framework will be discussed.
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institution Organización Europea para la Investigación Nuclear
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spelling cern-26443932022-08-10T12:21:47Zdoi:10.1051/epjconf/201921402036http://cds.cern.ch/record/2644393engPedro, Kevin JeromeCurrent and future performance of the CMS simulationDetectors and Experimental TechniquesThe CMS full simulation using Geant4 has delivered billions of simulated events for analysis during Runs 1 and 2 of the LHC. However, the HL-LHC dataset will be an order of magnitude larger, with a similar increase in occupancy per event. In addition, the upgraded CMS detector will be considerably more complex, with an extended silicon tracker and a high granularity calorimeter in the endcap region. Increases in conventional computing resources are subject to both technological and budgetary limitations, so novel approaches are needed to improve software efficiency and to take advantage of new architectures and heterogeneous resources. Several projects are in development to address these needs, including the vectorized geometry library VecGeom and the GeantV transport engine, which uses track-level parallelization. The current computing performance of the CMS simulation will be presented as a baseline, along with an overview of the various optimizations already available for Geant4. Finally, the progress and outlook for integrating VecGeom and GeantV in the CMS software framework will be discussed.CMS-CR-2018-211FERMILAB-CONF-18-784-SCDoai:cds.cern.ch:26443932018-09-18
spellingShingle Detectors and Experimental Techniques
Pedro, Kevin Jerome
Current and future performance of the CMS simulation
title Current and future performance of the CMS simulation
title_full Current and future performance of the CMS simulation
title_fullStr Current and future performance of the CMS simulation
title_full_unstemmed Current and future performance of the CMS simulation
title_short Current and future performance of the CMS simulation
title_sort current and future performance of the cms simulation
topic Detectors and Experimental Techniques
url https://dx.doi.org/10.1051/epjconf/201921402036
http://cds.cern.ch/record/2644393
work_keys_str_mv AT pedrokevinjerome currentandfutureperformanceofthecmssimulation