Počet záznamů: 1  

Real-time data processing in the ALICE High Level Trigger at the LHC

  1. 1.
    0506672 - ÚJF 2020 RIV NL eng J - Článek v odborném periodiku
    Acharya, S. - Acosta, F. T. - Adamová, Dagmar - Bielčík, J. - Bielčíková, Jana - Broz, M. - Contreras, J. G. - Křížková Gajdošová, K. - Horák, D. - Křížek, Filip - Kučera, Vít - Kushpil, Svetlana - Lavička, R. - Mareš, Jiří A. - Petráček, V. - Šafařík, K. - Šumbera, Michal - Závada, Petr … celkem 1022 autorů
    Real-time data processing in the ALICE High Level Trigger at the LHC.
    Computer Physics Communications. Roč. 242, č. 9 (2019), s. 25-48. ISSN 0010-4655. E-ISSN 1879-2944
    Grant CEP: GA MŠMT(CZ) LTT17018
    Výzkumná infrastruktura: CERN-CZ - 90058
    Institucionální podpora: RVO:68378271 ; RVO:61389005
    Klíčová slova: ALICE * FPGA * GPU
    Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8); Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8) (FZU-D)
    Impakt faktor: 3.627, rok: 2019
    Způsob publikování: Omezený přístup
    https://doi.org/10.1016/j.cpc.2019.04.011

    At the Large Hadron Collider at CERN in Geneva, Switzerland, atomic nuclei are collided at ultra-relativistic energies. Many final-state particles are produced in each collision and their properties are measured by the ALICE detector. The detector signals induced by the produced particles are digitized leading to data rates that are in excess of 48 GB/s. The ALICE High Level Trigger (HLT) system pioneered the use of FPGA- and GPU-based algorithms to reconstruct charged-particle trajectories and reduce the data size in real time. The results of the reconstruction of the collision events, available online, are used for high level data quality and detector-performance monitoring and real-time time-dependent detector calibration. The online data compression techniques developed and used in the ALICE HLT have more than quadrupled the amount of data that can be stored for offline event processing.
    Trvalý link: http://hdl.handle.net/11104/0297871

     
     
Počet záznamů: 1  

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