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Calorimeter fast simulation based on hit libraries LHCb Gauss framework
In HEP experiments the CPU resources required by Monte Carlo simulations are taking up an ever larger fraction of the total computing power (greater than 75%). At the same time the pace of performance improvements given by technology is slowing down, so the only solution is a more efficient use of r...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
EDP Sciences
2019
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1051/epjconf/201921402040 http://cds.cern.ch/record/2728527 |
_version_ | 1780966432461291520 |
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author | Rama, Matteo Vitali, Giacomo |
author_facet | Rama, Matteo Vitali, Giacomo |
author_sort | Rama, Matteo |
collection | CERN |
description | In HEP experiments the CPU resources required by Monte Carlo simulations are taking up an ever larger fraction of the total computing power (greater than 75%). At the same time the pace of performance improvements given by technology is slowing down, so the only solution is a more efficient use of resources. In this context we present the ongoing development of a fast simulation of the LHCb calorimeter based on a point library, which has significant advantages in terms of library size and output accuracy compared to the cell hit library. Preliminary performance studies are presented. |
id | oai-inspirehep.net-1760899 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2019 |
publisher | EDP Sciences |
record_format | invenio |
spelling | oai-inspirehep.net-17608992020-08-22T20:37:54Zdoi:10.1051/epjconf/201921402040http://cds.cern.ch/record/2728527engRama, MatteoVitali, GiacomoCalorimeter fast simulation based on hit libraries LHCb Gauss frameworkDetectors and Experimental TechniquesComputing and ComputersIn HEP experiments the CPU resources required by Monte Carlo simulations are taking up an ever larger fraction of the total computing power (greater than 75%). At the same time the pace of performance improvements given by technology is slowing down, so the only solution is a more efficient use of resources. In this context we present the ongoing development of a fast simulation of the LHCb calorimeter based on a point library, which has significant advantages in terms of library size and output accuracy compared to the cell hit library. Preliminary performance studies are presented.EDP Sciencesoai:inspirehep.net:17608992019 |
spellingShingle | Detectors and Experimental Techniques Computing and Computers Rama, Matteo Vitali, Giacomo Calorimeter fast simulation based on hit libraries LHCb Gauss framework |
title | Calorimeter fast simulation based on hit libraries LHCb Gauss framework |
title_full | Calorimeter fast simulation based on hit libraries LHCb Gauss framework |
title_fullStr | Calorimeter fast simulation based on hit libraries LHCb Gauss framework |
title_full_unstemmed | Calorimeter fast simulation based on hit libraries LHCb Gauss framework |
title_short | Calorimeter fast simulation based on hit libraries LHCb Gauss framework |
title_sort | calorimeter fast simulation based on hit libraries lhcb gauss framework |
topic | Detectors and Experimental Techniques Computing and Computers |
url | https://dx.doi.org/10.1051/epjconf/201921402040 http://cds.cern.ch/record/2728527 |
work_keys_str_mv | AT ramamatteo calorimeterfastsimulationbasedonhitlibrarieslhcbgaussframework AT vitaligiacomo calorimeterfastsimulationbasedonhitlibrarieslhcbgaussframework |