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Developing GPU-compliant algorithms for CMS ECAL local reconstruction during LHC Run 3 and Phase 2

The higher LHC luminosities foreseen in Run 3 (2022+) and during the Phase 2 of the LHC (2029+), and the consequently larger number of simultaneous proton-proton collisions per event, pose significant challenges for the CMS event reconstruction. In particular maintaining the strict time budget for r...

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Autor principal: Reis, Thomas
Lenguaje:eng
Publicado: 2022
Materias:
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/2438/1/012027
http://cds.cern.ch/record/2802591
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author Reis, Thomas
author_facet Reis, Thomas
author_sort Reis, Thomas
collection CERN
description The higher LHC luminosities foreseen in Run 3 (2022+) and during the Phase 2 of the LHC (2029+), and the consequently larger number of simultaneous proton-proton collisions per event, pose significant challenges for the CMS event reconstruction. In particular maintaining the strict time budget for reconstruction algorithms at the CMS software high level trigger will not be possible considering only the expected increase of processing power from conventional CPUs. Therefore, CMS is investigating the use of heterogeneous architectures, including GPU accelerators, to satisfy the needs of the Phase 2 reconstruction. The local reconstruction algorithm of the CMS electromagnetic calorimeter~(ECAL) is among the first to be implemented on heterogeneous platforms for LHC Run 3. This article discusses the necessary changes to the CMS software framework that support the execution of code on accelerators. The current development status of the ECAL local reconstruction algorithm is described and first performance results of GPU enabled code are presented.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2022
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spelling cern-28025912023-08-22T14:01:41Zdoi:10.1088/1742-6596/2438/1/012027http://cds.cern.ch/record/2802591engReis, ThomasDeveloping GPU-compliant algorithms for CMS ECAL local reconstruction during LHC Run 3 and Phase 2Detectors and Experimental TechniquesThe higher LHC luminosities foreseen in Run 3 (2022+) and during the Phase 2 of the LHC (2029+), and the consequently larger number of simultaneous proton-proton collisions per event, pose significant challenges for the CMS event reconstruction. In particular maintaining the strict time budget for reconstruction algorithms at the CMS software high level trigger will not be possible considering only the expected increase of processing power from conventional CPUs. Therefore, CMS is investigating the use of heterogeneous architectures, including GPU accelerators, to satisfy the needs of the Phase 2 reconstruction. The local reconstruction algorithm of the CMS electromagnetic calorimeter~(ECAL) is among the first to be implemented on heterogeneous platforms for LHC Run 3. This article discusses the necessary changes to the CMS software framework that support the execution of code on accelerators. The current development status of the ECAL local reconstruction algorithm is described and first performance results of GPU enabled code are presented.CMS-CR-2022-029oai:cds.cern.ch:28025912022-02-04
spellingShingle Detectors and Experimental Techniques
Reis, Thomas
Developing GPU-compliant algorithms for CMS ECAL local reconstruction during LHC Run 3 and Phase 2
title Developing GPU-compliant algorithms for CMS ECAL local reconstruction during LHC Run 3 and Phase 2
title_full Developing GPU-compliant algorithms for CMS ECAL local reconstruction during LHC Run 3 and Phase 2
title_fullStr Developing GPU-compliant algorithms for CMS ECAL local reconstruction during LHC Run 3 and Phase 2
title_full_unstemmed Developing GPU-compliant algorithms for CMS ECAL local reconstruction during LHC Run 3 and Phase 2
title_short Developing GPU-compliant algorithms for CMS ECAL local reconstruction during LHC Run 3 and Phase 2
title_sort developing gpu-compliant algorithms for cms ecal local reconstruction during lhc run 3 and phase 2
topic Detectors and Experimental Techniques
url https://dx.doi.org/10.1088/1742-6596/2438/1/012027
http://cds.cern.ch/record/2802591
work_keys_str_mv AT reisthomas developinggpucompliantalgorithmsforcmsecallocalreconstructionduringlhcrun3andphase2