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Enabling continuous speedup of CMS Event Reconstruction through continuous benchmarking

The outstanding performance obtained by the CMS experiment during Run 1 and Run 2 represents a great achievement of seamless hardware and software integration. Among the different software parts, the CMS offline reconstruction software is essential for translating the data acquired by the detectors...

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Detalles Bibliográficos
Autor principal: Caputo, Claudio
Lenguaje:eng
Publicado: 2023
Materias:
Acceso en línea:http://cds.cern.ch/record/2853681
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author Caputo, Claudio
author_facet Caputo, Claudio
author_sort Caputo, Claudio
collection CERN
description The outstanding performance obtained by the CMS experiment during Run 1 and Run 2 represents a great achievement of seamless hardware and software integration. Among the different software parts, the CMS offline reconstruction software is essential for translating the data acquired by the detectors into concrete objects that can be easily handled by the analyzers. The CMS offline reconstruction software needs to be reliable and fast. The long shutdown 2 (LS2) between LHC Run2 and Run3 has been crucial for the optimization of the CMS offline reconstruction software and for the introduction of new algorithms reaching a steady CPU speedup. In order to reach these goals, a continuous benchmarking pipeline has been implemented; CPU timing and memory profiling, using the igprof tool, are performed on a regular basis to monitor the footprint of the new developments and identify possible areas of performance improvement. The current status and achievement obtained by a continuous benchmarking of CMS experiment offline reconstruction software are described here.
id cern-2853681
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2023
record_format invenio
spelling cern-28536812023-03-27T22:51:32Zhttp://cds.cern.ch/record/2853681engCaputo, ClaudioEnabling continuous speedup of CMS Event Reconstruction through continuous benchmarkingDetectors and Experimental TechniquesThe outstanding performance obtained by the CMS experiment during Run 1 and Run 2 represents a great achievement of seamless hardware and software integration. Among the different software parts, the CMS offline reconstruction software is essential for translating the data acquired by the detectors into concrete objects that can be easily handled by the analyzers. The CMS offline reconstruction software needs to be reliable and fast. The long shutdown 2 (LS2) between LHC Run2 and Run3 has been crucial for the optimization of the CMS offline reconstruction software and for the introduction of new algorithms reaching a steady CPU speedup. In order to reach these goals, a continuous benchmarking pipeline has been implemented; CPU timing and memory profiling, using the igprof tool, are performed on a regular basis to monitor the footprint of the new developments and identify possible areas of performance improvement. The current status and achievement obtained by a continuous benchmarking of CMS experiment offline reconstruction software are described here.CMS-CR-2023-038oai:cds.cern.ch:28536812023-03-15
spellingShingle Detectors and Experimental Techniques
Caputo, Claudio
Enabling continuous speedup of CMS Event Reconstruction through continuous benchmarking
title Enabling continuous speedup of CMS Event Reconstruction through continuous benchmarking
title_full Enabling continuous speedup of CMS Event Reconstruction through continuous benchmarking
title_fullStr Enabling continuous speedup of CMS Event Reconstruction through continuous benchmarking
title_full_unstemmed Enabling continuous speedup of CMS Event Reconstruction through continuous benchmarking
title_short Enabling continuous speedup of CMS Event Reconstruction through continuous benchmarking
title_sort enabling continuous speedup of cms event reconstruction through continuous benchmarking
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/2853681
work_keys_str_mv AT caputoclaudio enablingcontinuousspeedupofcmseventreconstructionthroughcontinuousbenchmarking