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@INPROCEEDINGS{Bauce:291323,
      author       = {Bauce, Matteo and Boeing, Rene and Dankel, Maik and Howard,
                      Jacob and Kama, Sami},
      collaboration = {{ATLAS Collaboration}},
      title        = {{U}se of hardware accelerators for {ATLAS} computing},
      address      = {Hamburg},
      publisher    = {Deutsches Elektronen-Synchrotron, DESY},
      reportid     = {PUBDB-2015-05324, DESY-PROC-2014-05},
      pages        = {48-54},
      year         = {2015},
      abstract     = {Modern HEP experiments produce tremendous amounts of data.
                      This data is processed by in-house built software frameworks
                      which have lifetimes longer than the detector it- self. Such
                      frameworks were traditionally based on serial code and
                      relied on advances in CPU technologies, mainly clock
                      frequency, to cope with increasing data volumes. With the
                      advent of many-core architectures and GPGPUs this paradigm
                      has to shift to parallel processing and has to include the
                      use of co-processors. However, since the design of most of
                      the existing frameworks is based on the assumption of
                      frequency scaling and predate co-processors, parallelisation
                      and integration of co-processors are not an easy task. The
                      ATLAS experiment is an example of such a big experiment with
                      a big software frame- work called Athena. In this
                      proceedings we will present studies on parallelisation and
                      co-processor (GPGPU) use in data preparation and tracking
                      for trigger and offline recon- struction as well as their
                      integration into the multiple process based Athena framework
                      using the Accelerator Process Extension APE},
      month         = {Sep},
      date          = {2014-09-10},
      organization  = {GPU Computing in High-Energy Physics,
                       Pisa (Italy), 10 Sep 2014 - 12 Sep
                       2014},
      keywords     = {programming (INSPIRE) / ATLAS (INSPIRE) / hardware
                      (INSPIRE) / acceleration (INSPIRE) / microprocessor
                      (INSPIRE) / multiprocessor: graphics (INSPIRE) / data
                      management (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},
      doi          = {10.3204/DESY-PROC-2014-05/10},
      url          = {https://bib-pubdb1.desy.de/record/291323},
}