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

Marcon, Caterina LU orcid ; Elén, Einar LU orcid ; Madeira, Jessica Rebecca ; Morgan, Benjamin ; Smirnova, Oxana LU orcid and Smith, David (2021) In EPJ Web of Conferences 251. p.03005-03005
Abstract
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... (More)
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. (Less)
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author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
EPJ Web of Conferences
volume
251
pages
03005 - 03005
publisher
EDP Sciences
ISSN
2100-014X
DOI
10.1051/epjconf/202125103005
language
English
LU publication?
yes
id
8ffee7f3-a5dc-451d-b11d-c24523653b45
alternative location
https://www.epj-conferences.org/10.1051/epjconf/202125103005
date added to LUP
2022-03-16 14:30:43
date last changed
2025-04-04 14:12:27
@article{8ffee7f3-a5dc-451d-b11d-c24523653b45,
  abstract     = {{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.}},
  author       = {{Marcon, Caterina and Elén, Einar and Madeira, Jessica Rebecca and Morgan, Benjamin and Smirnova, Oxana and Smith, David}},
  issn         = {{2100-014X}},
  language     = {{eng}},
  month        = {{01}},
  pages        = {{03005--03005}},
  publisher    = {{EDP Sciences}},
  series       = {{EPJ Web of Conferences}},
  title        = {{Studies of GEANT4 performance for different ATLAS detector geometries and code compilation methods}},
  url          = {{http://dx.doi.org/10.1051/epjconf/202125103005}},
  doi          = {{10.1051/epjconf/202125103005}},
  volume       = {{251}},
  year         = {{2021}},
}