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@INPROCEEDINGS{Winchen:291343,
      author       = {Winchen, Tobias and Gottowik, Marvin and Rautenberg,
                      Julian},
      collaboration = {Pierre {Auger Collaboration}},
      title        = {{P}rospects of {GPGPU} in the {A}uger {O}ffline {S}oftware
                      {F}ramework},
      address      = {Hamburg},
      publisher    = {Deutsches Elektronen-Synchrotron, DESY},
      reportid     = {PUBDB-2015-05344, arXiv:1507.07733},
      pages        = {143-148},
      year         = {2015},
      abstract     = {The Pierre Auger Observatory is the currently largest
                      experiment dedicated to unveil the nature and origin of the
                      highest energetic cosmic rays. The software framework
                      Offline has been developed by the Pierre Auger Collaboration
                      for joint analysis of data from different independent
                      detector systems used in one observatory. While
                      reconstruction modules are specific to the Pierre Auger
                      Observatory components of the Offline framework are also
                      used by other experiments. The software framework has
                      recently been extended to incorporate data from the Auger
                      Engineering Radio Array (AERA), the radio extension of the
                      Pierre Auger Observatory. The reconstruction of the data of
                      such radio detectors requires the repeated evaluation of
                      complex antenna gain patterns which significantly increases
                      the required computing resources in the joint analysis. In
                      this contribution we explore the usability of massive
                      parallelization of parts of the Offline code on the GPU. We
                      present the result of a systematic profiling of the joint
                      analysis of the Offline software framework aiming for the
                      identification of code areas suitable for parallelization on
                      GPUs. Possible strategies and obstacles for the usage of
                      GPGPU in an existing experiment framework are discussed.},
      month         = {Sep},
      date          = {2014-09-10},
      organization  = {GPU Computing in High-Energy Physics,
                       Pisa (Italy), 10 Sep 2014 - 12 Sep
                       2014},
      keywords     = {Auger (INSPIRE) / off-line (INSPIRE) / observatory
                      (INSPIRE) / programming (INSPIRE) / cosmic radiation: VHE
                      (INSPIRE) / engineering (INSPIRE)},
      cin          = {L},
      cid          = {I:(DE-H253)L-20120731},
      pnm          = {899 - ohne Topic (POF3-899)},
      pid          = {G:(DE-HGF)POF3-899},
      experiment   = {EXP:(DE-588)4443767-5},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)15},
      eprint       = {1507.07733},
      howpublished = {arXiv:1507.07733},
      archivePrefix = {arXiv},
      SLACcitation = {$\%\%CITATION$ = $arXiv:1507.07733;\%\%$},
      doi          = {10.3204/DESY-PROC-2014-05/26},
      url          = {https://bib-pubdb1.desy.de/record/291343},
}