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@INPROCEEDINGS{Arrabito:428612,
      author       = {Arrabito, Luisa and Bernlöhr, Konrad and Bregeon, Johan
                      and Maier, Gernot and Langlois, Philippe and Parello, David
                      and Revy, Guillaume},
      title        = {{P}erformance optimization of the air shower simulation
                      program for the {C}herenkov {T}elescope {A}rray},
      journal      = {The European physical journal / Web of Conferences Web of
                      Conferences : proceedings proceedings},
      volume       = {214},
      issn         = {2100-014X},
      address      = {Les Ulis},
      publisher    = {EDP Sciences},
      reportid     = {PUBDB-2019-04635},
      pages        = {05041 -},
      year         = {2019},
      abstract     = {The Cherenkov Telescope Array (CTA), currently under
                      construction,is the next-generation instrument in the field
                      of very high energy gammarayastronomy. The first data are
                      expected by the end of 2018, while the scientificoperations
                      will start in 2022 for a duration of about 30 years. In
                      order tocharacterize the instrument response to the
                      Cherenkov light emitted when cosmicray showers develop in
                      the atmosphere, detailed Monte Carlo simulationswill be
                      regularly performed in parallel to CTA operation. The
                      estimated CPUtime associated to these simulations is very
                      high, of the order of 200 millionsHS06 hours per year.
                      Reducing the CPU time devoted to simulations would
                      alloweither to reduce infrastructure cost or to better cover
                      the large phase space.In this paper, we focus on the main
                      computing step $(70\%$ of the whole CPUtime) implemented in
                      the CORSIKA program, and specifically on the
                      moduleresponsible for the propagation of Cherenkov photons
                      in the atmosphere.We present our preliminary studies about
                      different options of code optimization,with a particular
                      focus on vectorization facilities (SIMD instructions).
                      Ourproposals take care, as automatically as possible, of the
                      hardware portabilityconstraints introduced by the grid
                      computing environment that hosts these
                      simulations.Performance evaluation in terms of running-time
                      and accuracy is provided.},
      month         = {Jul},
      date          = {2018-07-09},
      organization  = {23rd International Conference on
                       Computing in High Energy and Nuclear
                       Physics (CHEP 2018), Sofia (Bulgaria),
                       9 Jul 2018 - 13 Jul 2018},
      cin          = {ZEU-CTA},
      ddc          = {530},
      cid          = {I:(DE-H253)ZEU-CTA-20120731},
      pnm          = {613 - Matter and Radiation from the Universe (POF3-613)},
      pid          = {G:(DE-HGF)POF3-613},
      experiment   = {EXP:(DE-H253)CTA-20150101},
      typ          = {PUB:(DE-HGF)16 / PUB:(DE-HGF)8},
      doi          = {10.1051/epjconf/201921405041},
      url          = {https://bib-pubdb1.desy.de/record/428612},
}