Cargando…

Studies of GEANT4 performance for different ATLAS detector geometries and code compilation methods

Full detector simulation is known to consume a large proportion of computing resources available to the LHC experiments, and reducing time consumed by simulation will allow for more profound physics studies. There are many avenues to exploit, and in this work we investigate those that do not require...

Descripción completa

Detalles Bibliográficos
Autores principales: Marcon, Caterina, Elén, Einar, Madeira, Jessica Rebecca, Morgan, Benjamin, Smirnova, Oxana, Smith, David
Lenguaje:eng
Publicado: 2021
Materias:
Acceso en línea:https://dx.doi.org/10.1051/epjconf/202125103005
http://cds.cern.ch/record/2813807
_version_ 1780973421755105280
author Marcon, Caterina
Elén, Einar
Madeira, Jessica Rebecca
Morgan, Benjamin
Smirnova, Oxana
Smith, David
author_facet Marcon, Caterina
Elén, Einar
Madeira, Jessica Rebecca
Morgan, Benjamin
Smirnova, Oxana
Smith, David
author_sort Marcon, Caterina
collection CERN
description Full detector simulation is known to consume a large proportion of computing resources available to the LHC experiments, and reducing time consumed by simulation will allow for more profound physics studies. There are many avenues to exploit, and in this work we investigate those that do not require changes in the GEANT4 simulation suite. In this study, several factors affecting the full GEANT4 simulation execution time are investigated. A broad range of configurations has been tested to ensure consistency of physical results. The effect of a single dynamic library GEANT4 build type has been investigated and the impact of different primary particles at different energies has been evaluated using GDML and GeoModel geometries. Some configurations have an impact on the physics results and are, therefore, excluded from further analysis. Usage of the single dynamic library is shown to increase execution time and does not represent a viable option for optimization. Lastly, the static build type is confirmed as the most effective method to reduce the simulation execution time.
id cern-2813807
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2021
record_format invenio
spelling cern-28138072022-08-23T09:32:04Zdoi:10.1051/epjconf/202125103005http://cds.cern.ch/record/2813807engMarcon, CaterinaElén, EinarMadeira, Jessica RebeccaMorgan, BenjaminSmirnova, OxanaSmith, DavidStudies of GEANT4 performance for different ATLAS detector geometries and code compilation methodsComputing and ComputersFull detector simulation is known to consume a large proportion of computing resources available to the LHC experiments, and reducing time consumed by simulation will allow for more profound physics studies. There are many avenues to exploit, and in this work we investigate those that do not require changes in the GEANT4 simulation suite. In this study, several factors affecting the full GEANT4 simulation execution time are investigated. A broad range of configurations has been tested to ensure consistency of physical results. The effect of a single dynamic library GEANT4 build type has been investigated and the impact of different primary particles at different energies has been evaluated using GDML and GeoModel geometries. Some configurations have an impact on the physics results and are, therefore, excluded from further analysis. Usage of the single dynamic library is shown to increase execution time and does not represent a viable option for optimization. Lastly, the static build type is confirmed as the most effective method to reduce the simulation execution time.oai:cds.cern.ch:28138072021
spellingShingle Computing and Computers
Marcon, Caterina
Elén, Einar
Madeira, Jessica Rebecca
Morgan, Benjamin
Smirnova, Oxana
Smith, David
Studies of GEANT4 performance for different ATLAS detector geometries and code compilation methods
title Studies of GEANT4 performance for different ATLAS detector geometries and code compilation methods
title_full Studies of GEANT4 performance for different ATLAS detector geometries and code compilation methods
title_fullStr Studies of GEANT4 performance for different ATLAS detector geometries and code compilation methods
title_full_unstemmed Studies of GEANT4 performance for different ATLAS detector geometries and code compilation methods
title_short Studies of GEANT4 performance for different ATLAS detector geometries and code compilation methods
title_sort studies of geant4 performance for different atlas detector geometries and code compilation methods
topic Computing and Computers
url https://dx.doi.org/10.1051/epjconf/202125103005
http://cds.cern.ch/record/2813807
work_keys_str_mv AT marconcaterina studiesofgeant4performancefordifferentatlasdetectorgeometriesandcodecompilationmethods
AT eleneinar studiesofgeant4performancefordifferentatlasdetectorgeometriesandcodecompilationmethods
AT madeirajessicarebecca studiesofgeant4performancefordifferentatlasdetectorgeometriesandcodecompilationmethods
AT morganbenjamin studiesofgeant4performancefordifferentatlasdetectorgeometriesandcodecompilationmethods
AT smirnovaoxana studiesofgeant4performancefordifferentatlasdetectorgeometriesandcodecompilationmethods
AT smithdavid studiesofgeant4performancefordifferentatlasdetectorgeometriesandcodecompilationmethods