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LHCb trigger streams optimization
The LHCb experiment stores around 1011 collision events per year. A typical physics analysis deals with a final sample of up to 107 events. Event preselection algorithms (lines) are used for data reduction. Since the data are stored in a format that requires sequential access, the lines are grouped...
Autores principales: | , , , , , , |
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Lenguaje: | eng |
Publicado: |
2017
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/898/6/062026 http://cds.cern.ch/record/2641626 |
_version_ | 1780960219634860032 |
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author | Derkach, D. Kazeev, N. Neychev, R. Panin, A. Trofimov, I. Ustyuzhanin, A. Vesterinen, M. |
author_facet | Derkach, D. Kazeev, N. Neychev, R. Panin, A. Trofimov, I. Ustyuzhanin, A. Vesterinen, M. |
author_sort | Derkach, D. |
collection | CERN |
description | The LHCb experiment stores around 1011 collision events per year. A typical physics analysis deals with a final sample of up to 107 events. Event preselection algorithms (lines) are used for data reduction. Since the data are stored in a format that requires sequential access, the lines are grouped into several output file streams, in order to increase the efficiency of user analysis jobs that read these data. The scheme efficiency heavily depends on the stream composition. By putting similar lines together and balancing the stream sizes it is possible to reduce the overhead. We present a method for finding an optimal stream composition. The method is applied to a part of the LHCb data (Turbo stream) on the stage where it is prepared for user physics analysis. This results in an expected improvement of 15% in the speed of user analysis jobs, and will be applied on data to be recorded in 2017. |
id | cern-2641626 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2017 |
record_format | invenio |
spelling | cern-26416262021-07-15T01:30:21Zdoi:10.1088/1742-6596/898/6/062026doi:10.1088/1742-6596/898/6/062026http://cds.cern.ch/record/2641626engDerkach, D.Kazeev, N.Neychev, R.Panin, A.Trofimov, I.Ustyuzhanin, A.Vesterinen, M.LHCb trigger streams optimizationhep-exParticle Physics - Experimentcs.DCComputing and ComputersThe LHCb experiment stores around 1011 collision events per year. A typical physics analysis deals with a final sample of up to 107 events. Event preselection algorithms (lines) are used for data reduction. Since the data are stored in a format that requires sequential access, the lines are grouped into several output file streams, in order to increase the efficiency of user analysis jobs that read these data. The scheme efficiency heavily depends on the stream composition. By putting similar lines together and balancing the stream sizes it is possible to reduce the overhead. We present a method for finding an optimal stream composition. The method is applied to a part of the LHCb data (Turbo stream) on the stage where it is prepared for user physics analysis. This results in an expected improvement of 15% in the speed of user analysis jobs, and will be applied on data to be recorded in 2017.The LHCb experiment stores around $10^{11}$ collision events per year. A typical physics analysis deals with a final sample of up to $10^7$ events. Event preselection algorithms (lines) are used for data reduction. Since the data are stored in a format that requires sequential access, the lines are grouped into several output file streams, in order to increase the efficiency of user analysis jobs that read these data. The scheme efficiency heavily depends on the stream composition. By putting similar lines together and balancing the stream sizes it is possible to reduce the overhead. We present a method for finding an optimal stream composition. The method is applied to a part of the LHCb data (Turbo stream) on the stage where it is prepared for user physics analysis. This results in an expected improvement of 15% in the speed of user analysis jobs, and will be applied on data to be recorded in 2017.arXiv:1702.05262oai:cds.cern.ch:26416262017-02-17 |
spellingShingle | hep-ex Particle Physics - Experiment cs.DC Computing and Computers Derkach, D. Kazeev, N. Neychev, R. Panin, A. Trofimov, I. Ustyuzhanin, A. Vesterinen, M. LHCb trigger streams optimization |
title | LHCb trigger streams optimization |
title_full | LHCb trigger streams optimization |
title_fullStr | LHCb trigger streams optimization |
title_full_unstemmed | LHCb trigger streams optimization |
title_short | LHCb trigger streams optimization |
title_sort | lhcb trigger streams optimization |
topic | hep-ex Particle Physics - Experiment cs.DC Computing and Computers |
url | https://dx.doi.org/10.1088/1742-6596/898/6/062026 https://dx.doi.org/10.1088/1742-6596/898/6/062026 http://cds.cern.ch/record/2641626 |
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