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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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Lenguaje: | eng |
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2023
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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 |