Scientific and high-performance computing at FAIR

Scientific and high-performance computing at FAIR

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Future FAIR experiments have to deal with very high input rates, large track multiplicities, make full event reconstruction and selection on-line on a large dedicated computer farm equipped with heterogeneous many-core CPU/GPU compute nodes. To develop efficient and fast algorithms, which are optimi...

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Main Author: Kisel Ivan
Format: Article
Language:English
Published: EDP Sciences 2015-01-01
Series:EPJ Web of Conferences
Online Access:http://dx.doi.org/10.1051/epjconf/20149501007
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spelling doaj-7707bac948314f2eaa6fb6c453d20f162021-08-02T14:37:11ZengEDP SciencesEPJ Web of Conferences2100-014X2015-01-01950100710.1051/epjconf/20149501007epjconf_icnfp2014_01007Scientific and high-performance computing at FAIRKisel IvanFuture FAIR experiments have to deal with very high input rates, large track multiplicities, make full event reconstruction and selection on-line on a large dedicated computer farm equipped with heterogeneous many-core CPU/GPU compute nodes. To develop efficient and fast algorithms, which are optimized for parallel computations, is a challenge for the groups of experts dealing with the HPC computing. Here we present and discuss the status and perspectives of the data reconstruction and physics analysis software of one of the future FAIR experiments, namely, the CBM experiment.http://dx.doi.org/10.1051/epjconf/20149501007
collection DOAJ
language English
format Article
sources DOAJ
author Kisel Ivan
spellingShingle Kisel Ivan
Scientific and high-performance computing at FAIR
EPJ Web of Conferences
author_facet Kisel Ivan
author_sort Kisel Ivan
title Scientific and high-performance computing at FAIR
title_short Scientific and high-performance computing at FAIR
title_full Scientific and high-performance computing at FAIR
title_fullStr Scientific and high-performance computing at FAIR
title_full_unstemmed Scientific and high-performance computing at FAIR
title_sort scientific and high-performance computing at fair
publisher EDP Sciences
series EPJ Web of Conferences
issn 2100-014X
publishDate 2015-01-01
description Future FAIR experiments have to deal with very high input rates, large track multiplicities, make full event reconstruction and selection on-line on a large dedicated computer farm equipped with heterogeneous many-core CPU/GPU compute nodes. To develop efficient and fast algorithms, which are optimized for parallel computations, is a challenge for the groups of experts dealing with the HPC computing. Here we present and discuss the status and perspectives of the data reconstruction and physics analysis software of one of the future FAIR experiments, namely, the CBM experiment.
url http://dx.doi.org/10.1051/epjconf/20149501007
work_keys_str_mv AT kiselivan scientificandhighperformancecomputingatfair
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