Scientific and high-performance computing at FAIR

  • 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.

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Metadaten
Author:Ivan KiselORCiDGND
URN:urn:nbn:de:hebis:30:3-714529
DOI:https://doi.org/10.1051/epjconf/20159501007
ISSN:2100-014X
Parent Title (English):EPJ Web of Conferences
Publisher:EDP Sciences
Place of publication:Les Ulis
Document Type:Article
Language:English
Date of Publication (online):2015/05/29
Date of first Publication:2015/05/29
Publishing Institution:Universit├Ątsbibliothek Johann Christian Senckenberg
Contributing Corporation:International Conference on New Frontiers in Physics (3. : 2014 : Crete)
Release Date:2023/01/31
Volume:95
Issue:01007
Page Number:16
HeBIS-PPN:50573754X
Institutes:Physik / Physik
Wissenschaftliche Zentren und koordinierte Programme / Frankfurt Institute for Advanced Studies (FIAS)
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 53 Physik / 530 Physik
Sammlungen:Universit├Ątspublikationen
Licence (German):License LogoCreative Commons - Namensnennung 4.0