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The GeantV project: preparing the future of simulation

Detector simulation is consuming at least half of the HEP computing cycles, and even so, experiments have to take hard decisions on what to simulate, as their needs greatly surpass the availability of computing resources. New experiments still in the design phase such as FCC, CLIC and ILC as well as...

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Detalles Bibliográficos
Autores principales: Amadio, G, Apostolakis, J, Bandieramonte, M, Bhattacharyya, A, Bianchini, C, Brun, R, Canal, Ph, Carminati, F, Duhem, L, Elvira, D, de Fine Licht, J, Gheata, A, Iope, R L, Lima, G, Mohanty, A, Nikitina, T, Novak, M, Pokorski, W, Seghal, R, Shadura, O, Vallecorsa, S, Wenzel, S
Lenguaje:eng
Publicado: 2015
Materias:
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/664/7/072006
http://cds.cern.ch/record/2134619
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author Amadio, G
Apostolakis, J
Bandieramonte, M
Bhattacharyya, A
Bianchini, C
Brun, R
Canal, Ph
Carminati, F
Duhem, L
Elvira, D
de Fine Licht, J
Gheata, A
Iope, R L
Lima, G
Mohanty, A
Nikitina, T
Novak, M
Pokorski, W
Seghal, R
Shadura, O
Vallecorsa, S
Wenzel, S
author_facet Amadio, G
Apostolakis, J
Bandieramonte, M
Bhattacharyya, A
Bianchini, C
Brun, R
Canal, Ph
Carminati, F
Duhem, L
Elvira, D
de Fine Licht, J
Gheata, A
Iope, R L
Lima, G
Mohanty, A
Nikitina, T
Novak, M
Pokorski, W
Seghal, R
Shadura, O
Vallecorsa, S
Wenzel, S
author_sort Amadio, G
collection CERN
description Detector simulation is consuming at least half of the HEP computing cycles, and even so, experiments have to take hard decisions on what to simulate, as their needs greatly surpass the availability of computing resources. New experiments still in the design phase such as FCC, CLIC and ILC as well as upgraded versions of the existing LHC detectors will push further the simulation requirements. Since the increase in computing resources is not likely to keep pace with our needs, it is therefore necessary to explore innovative ways of speeding up simulation in order to sustain the progress of High Energy Physics. The GeantV project aims at developing a high performance detector simulation system integrating fast and full simulation that can be ported on different computing architectures, including CPU accelerators. After more than two years of R&D; the project has produced a prototype capable of transporting particles in complex geometries exploiting micro-parallelism, SIMD and multithreading. Portability is obtained via C++ template techniques that allow the development of machine- independent computational kernels. A set of tables derived from Geant4 for cross sections and final states provides a realistic shower development and, having been ported into a Geant4 physics list, can be used as a basis for a direct performance comparison.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
record_format invenio
spelling oai-inspirehep.net-14139892022-08-10T13:01:02Zdoi:10.1088/1742-6596/664/7/072006http://cds.cern.ch/record/2134619engAmadio, GApostolakis, JBandieramonte, MBhattacharyya, ABianchini, CBrun, RCanal, PhCarminati, FDuhem, LElvira, Dde Fine Licht, JGheata, AIope, R LLima, GMohanty, ANikitina, TNovak, MPokorski, WSeghal, RShadura, OVallecorsa, SWenzel, SThe GeantV project: preparing the future of simulationComputing and ComputersDetector simulation is consuming at least half of the HEP computing cycles, and even so, experiments have to take hard decisions on what to simulate, as their needs greatly surpass the availability of computing resources. New experiments still in the design phase such as FCC, CLIC and ILC as well as upgraded versions of the existing LHC detectors will push further the simulation requirements. Since the increase in computing resources is not likely to keep pace with our needs, it is therefore necessary to explore innovative ways of speeding up simulation in order to sustain the progress of High Energy Physics. The GeantV project aims at developing a high performance detector simulation system integrating fast and full simulation that can be ported on different computing architectures, including CPU accelerators. After more than two years of R&D; the project has produced a prototype capable of transporting particles in complex geometries exploiting micro-parallelism, SIMD and multithreading. Portability is obtained via C++ template techniques that allow the development of machine- independent computational kernels. A set of tables derived from Geant4 for cross sections and final states provides a realistic shower development and, having been ported into a Geant4 physics list, can be used as a basis for a direct performance comparison.FERMILAB-CONF-15-598-CDoai:inspirehep.net:14139892015
spellingShingle Computing and Computers
Amadio, G
Apostolakis, J
Bandieramonte, M
Bhattacharyya, A
Bianchini, C
Brun, R
Canal, Ph
Carminati, F
Duhem, L
Elvira, D
de Fine Licht, J
Gheata, A
Iope, R L
Lima, G
Mohanty, A
Nikitina, T
Novak, M
Pokorski, W
Seghal, R
Shadura, O
Vallecorsa, S
Wenzel, S
The GeantV project: preparing the future of simulation
title The GeantV project: preparing the future of simulation
title_full The GeantV project: preparing the future of simulation
title_fullStr The GeantV project: preparing the future of simulation
title_full_unstemmed The GeantV project: preparing the future of simulation
title_short The GeantV project: preparing the future of simulation
title_sort geantv project: preparing the future of simulation
topic Computing and Computers
url https://dx.doi.org/10.1088/1742-6596/664/7/072006
http://cds.cern.ch/record/2134619
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