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Optimizing the ATLAS Geant4 detector simulation software
The ATLAS experiment at the LHC relies critically on simulated event samples produced by the full Geant4 detector simulation software (FullSim). FullSim was the major CPU consumer during the last data-taking year in 2018 and it is expected to be still significant in the HL-LHC era. In September 2020...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Lenguaje: | eng |
Publicado: |
2022
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2838150 |
_version_ | 1780975910208405504 |
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author | Kourlitis, Evangelos Bandieramonte, Marilena Lari, Tommaso Chapman, John Derek Duehrssen-Debling, Michael Sukharev, Andrei Morgan, Benjamin Marcon, Caterina Apostolakis, John Novak, Mihaly Muskinja, Miha Hopkins, Walter Schmidt, Mustafa Andre Vishwakarma, Akanksha Tcherniaev, Evgueni Amadio, Guilherme Kim, Dongwon Wynne, Benjamin Michael |
author_facet | Kourlitis, Evangelos Bandieramonte, Marilena Lari, Tommaso Chapman, John Derek Duehrssen-Debling, Michael Sukharev, Andrei Morgan, Benjamin Marcon, Caterina Apostolakis, John Novak, Mihaly Muskinja, Miha Hopkins, Walter Schmidt, Mustafa Andre Vishwakarma, Akanksha Tcherniaev, Evgueni Amadio, Guilherme Kim, Dongwon Wynne, Benjamin Michael |
author_sort | Kourlitis, Evangelos |
collection | CERN |
description | The ATLAS experiment at the LHC relies critically on simulated event samples produced by the full Geant4 detector simulation software (FullSim). FullSim was the major CPU consumer during the last data-taking year in 2018 and it is expected to be still significant in the HL-LHC era. In September 2020 ATLAS formed a Geant4 Optimization Task Force to optimize the computational performance of FullSim for the Run 3 Monte Carlo campaign. This contribution summarizes the already implemented and upcoming improvements. These include improved features from the core Geant4 software, optimal options in the simulation configuration, simplifications in geometry and magnetic field description and technical improvements in the way ATLAS simulation code interfaces with Geant4. Overall, more than 50% higher throughput is achieved, compared to the baseline simulation configuration used during Run 2. |
id | cern-2838150 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2022 |
record_format | invenio |
spelling | cern-28381502022-10-22T21:46:13Zhttp://cds.cern.ch/record/2838150engKourlitis, EvangelosBandieramonte, MarilenaLari, TommasoChapman, John DerekDuehrssen-Debling, MichaelSukharev, AndreiMorgan, BenjaminMarcon, CaterinaApostolakis, JohnNovak, MihalyMuskinja, MihaHopkins, WalterSchmidt, Mustafa AndreVishwakarma, AkankshaTcherniaev, EvgueniAmadio, GuilhermeKim, DongwonWynne, Benjamin MichaelOptimizing the ATLAS Geant4 detector simulation softwareParticle Physics - ExperimentThe ATLAS experiment at the LHC relies critically on simulated event samples produced by the full Geant4 detector simulation software (FullSim). FullSim was the major CPU consumer during the last data-taking year in 2018 and it is expected to be still significant in the HL-LHC era. In September 2020 ATLAS formed a Geant4 Optimization Task Force to optimize the computational performance of FullSim for the Run 3 Monte Carlo campaign. This contribution summarizes the already implemented and upcoming improvements. These include improved features from the core Geant4 software, optimal options in the simulation configuration, simplifications in geometry and magnetic field description and technical improvements in the way ATLAS simulation code interfaces with Geant4. Overall, more than 50% higher throughput is achieved, compared to the baseline simulation configuration used during Run 2.ATL-SOFT-SLIDE-2022-552oai:cds.cern.ch:28381502022-10-22 |
spellingShingle | Particle Physics - Experiment Kourlitis, Evangelos Bandieramonte, Marilena Lari, Tommaso Chapman, John Derek Duehrssen-Debling, Michael Sukharev, Andrei Morgan, Benjamin Marcon, Caterina Apostolakis, John Novak, Mihaly Muskinja, Miha Hopkins, Walter Schmidt, Mustafa Andre Vishwakarma, Akanksha Tcherniaev, Evgueni Amadio, Guilherme Kim, Dongwon Wynne, Benjamin Michael Optimizing the ATLAS Geant4 detector simulation software |
title | Optimizing the ATLAS Geant4 detector simulation software |
title_full | Optimizing the ATLAS Geant4 detector simulation software |
title_fullStr | Optimizing the ATLAS Geant4 detector simulation software |
title_full_unstemmed | Optimizing the ATLAS Geant4 detector simulation software |
title_short | Optimizing the ATLAS Geant4 detector simulation software |
title_sort | optimizing the atlas geant4 detector simulation software |
topic | Particle Physics - Experiment |
url | http://cds.cern.ch/record/2838150 |
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