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@INPROCEEDINGS{Gbbert:825488,
      author       = {Göbbert, Jens Henrik and Bode, Mathis and Wylie, Brian J.
                      N.},
      title        = {{E}xtreme-{S}cale {I}n {S}itu {V}isualization of
                      {T}urbulent {F}lows on {IBM} {B}lue {G}ene/{Q} {JUQUEEN}},
      volume       = {9945},
      address      = {Cham},
      publisher    = {Springer International Publishing},
      reportid     = {FZJ-2016-07949},
      isbn         = {978-3-319-46078-9 (print)},
      series       = {Lecture Notes in Computer Science},
      pages        = {45-55},
      year         = {2016},
      comment      = {High Performance Computing - ISC High Performance 2016
                      International Workshops, ExaComm, E-MuCoCoS, HPC-IODC,
                      IXPUG, IWOPH, P3MA, VHPC, WOPSSS},
      booktitle     = {High Performance Computing - ISC High
                       Performance 2016 International
                       Workshops, ExaComm, E-MuCoCoS,
                       HPC-IODC, IXPUG, IWOPH, P3MA, VHPC,
                       WOPSSS},
      abstract     = {Extracting and analyzing detailed information from
                      largesimulations is of crucial importance for science.
                      However, with the in-creasing problem size of nowadays
                      simulations, the process of visualizingand understanding big
                      simulation raw data becomes more difficult andneeds
                      additional effort. More precisely, the gap between compute
                      and I/Operformance is widening with current supercomputers.
                      Thus, the classi-cal approach of visualizing simulation
                      results in a post-processing stepis limited or even
                      impossible for extreme-scale scenarios. One
                      promisingtechnique to overcome this issue is in situ
                      visualization, which visual-izes and analyzes simulation
                      data on simulation runtime. Within thiswork, in situ
                      visualization using VisIt/Libsim has been added to theCIAO
                      code framework for interactive- and batch-mode visualization
                      onJUQUEEN, an IBM Blue Gene/Q system with 458 752 cores.
                      Full-systemruns are demonstrated and early-results of
                      performance measurementsof an extreme-scale multiphase case
                      are discussed.},
      month         = {Jun},
      date          = {2016-06-19},
      organization  = {ISC High Performance 2016, Frankfurt
                       (Germany), 19 Jun 2016 - 23 Jun 2016},
      cin          = {JSC / JARA-HPC},
      ddc          = {004},
      cid          = {I:(DE-Juel1)JSC-20090406 / $I:(DE-82)080012_20140620$},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511) / Scalable Performance Analysis of Large-Scale
                      Parallel Applications $(jzam11_20091101)$ / ATMLPP - ATML
                      Parallel Performance (ATMLPP)},
      pid          = {G:(DE-HGF)POF3-511 / $G:(DE-Juel1)jzam11_20091101$ /
                      G:(DE-Juel-1)ATMLPP},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      UT           = {WOS:000389802700005},
      doi          = {10.1007/978-3-319-46079-6_4},
      url          = {https://juser.fz-juelich.de/record/825488},
}