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Event processing time prediction at the CMS Experiment of the Large Hadron Collider

The physics event reconstruction in LHC/CMS is one of the biggest challenges for computing.Among the different tasks that computing systems perform, the reconstruction takes most of the CPUresources that are available. The reconstruction time of a single event varies according to the event complexit...

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Autor principal: Cury Siqueira, Samir
Lenguaje:eng
Publicado: 2013
Materias:
Acceso en línea:http://cds.cern.ch/record/1622281
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author Cury Siqueira, Samir
author_facet Cury Siqueira, Samir
author_sort Cury Siqueira, Samir
collection CERN
description The physics event reconstruction in LHC/CMS is one of the biggest challenges for computing.Among the different tasks that computing systems perform, the reconstruction takes most of the CPUresources that are available. The reconstruction time of a single event varies according to the event complexity.Measurements were done in order to find precisely this correlation, creating means to predict itbased on the physics conditions of the input data.Currently the data processing system do not account that whensplitting a task in chunks(jobs), this can cause a considerablevariation in the job length, thus a considerable increase into theworkflow Estimated Time of Arrival.The goal is to use this estimate on processing time to more efficiently split the work inchunks, considering the CPU time needed for each chunk and due to this,lowering the standard deviation of the job length distribution in aworkflow.
id cern-1622281
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2013
record_format invenio
spelling cern-16222812019-09-30T06:29:59Zhttp://cds.cern.ch/record/1622281engCury Siqueira, SamirEvent processing time prediction at the CMS Experiment of the Large Hadron ColliderDetectors and Experimental TechniquesThe physics event reconstruction in LHC/CMS is one of the biggest challenges for computing.Among the different tasks that computing systems perform, the reconstruction takes most of the CPUresources that are available. The reconstruction time of a single event varies according to the event complexity.Measurements were done in order to find precisely this correlation, creating means to predict itbased on the physics conditions of the input data.Currently the data processing system do not account that whensplitting a task in chunks(jobs), this can cause a considerablevariation in the job length, thus a considerable increase into theworkflow Estimated Time of Arrival.The goal is to use this estimate on processing time to more efficiently split the work inchunks, considering the CPU time needed for each chunk and due to this,lowering the standard deviation of the job length distribution in aworkflow.CMS-CR-2013-375oai:cds.cern.ch:16222812013-10-29
spellingShingle Detectors and Experimental Techniques
Cury Siqueira, Samir
Event processing time prediction at the CMS Experiment of the Large Hadron Collider
title Event processing time prediction at the CMS Experiment of the Large Hadron Collider
title_full Event processing time prediction at the CMS Experiment of the Large Hadron Collider
title_fullStr Event processing time prediction at the CMS Experiment of the Large Hadron Collider
title_full_unstemmed Event processing time prediction at the CMS Experiment of the Large Hadron Collider
title_short Event processing time prediction at the CMS Experiment of the Large Hadron Collider
title_sort event processing time prediction at the cms experiment of the large hadron collider
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/1622281
work_keys_str_mv AT curysiqueirasamir eventprocessingtimepredictionatthecmsexperimentofthelargehadroncollider