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@INPROCEEDINGS{Oehrl:859933,
      author       = {Oehrl, Simon and Müller, Jan and Schnathmeier, Jan and
                      Eppler, Jochen Martin and Peyser, Alexander and Plesser,
                      Hans Ekkehard and Weyers, Benjamin and Hentschel, Bernd and
                      Kuhlen, Torsten and Vierjahn, Tom},
      title        = {{S}treaming {L}ive {N}euronal {S}imulation {D}ata into
                      {V}isualization and {A}nalysis},
      volume       = {11203},
      address      = {Cham},
      publisher    = {Springer International Publishing},
      reportid     = {FZJ-2019-00745},
      isbn         = {978-3-030-02464-2 (print)},
      series       = {Lecture Notes in Computer Science},
      pages        = {258 - 272},
      year         = {2018},
      note         = {Article attached has a 12 month embargo (until 25.1.2020):
                      https://www.springer.com/de/open-access/authors-rights/self-archiving-policy/2124},
      comment      = {High Performance Computing / Yokota, Rio (Editor)
                      [0000-0001-7573-7873] ; Cham : Springer International
                      Publishing, 2018, Chapter 18 ; ISSN: 0302-9743=1611-3349 ;
                      ISBN: 978-3-030-02464-2=978-3-030-02465-9 ;
                      doi:10.1007/978-3-030-02465-9},
      booktitle     = {High Performance Computing / Yokota,
                       Rio (Editor) [0000-0001-7573-7873] ;
                       Cham : Springer International
                       Publishing, 2018, Chapter 18 ; ISSN:
                       0302-9743=1611-3349 ; ISBN:
                       978-3-030-02464-2=978-3-030-02465-9 ;
                       doi:10.1007/978-3-030-02465-9},
      abstract     = {Neuroscientists want to inspect the data their simulations
                      are producing while these are still running. This will on
                      the one hand save them time waiting for results and
                      therefore insight. On the other, it will allow for more
                      efficient use of CPU time if the simulations are being run
                      on supercomputers. If they had access to the data being
                      generated, neuroscientists could monitor it and take
                      counter-actions, e.g., parameter adjustments, should the
                      simulation deviate too much from in-vivo observations or get
                      stuck.As a first step toward this goal, we devise an in situ
                      pipeline tailored to the neuroscientific use case. It is
                      capable of recording and transferring simulation data to an
                      analysis/visualization process, while the simulation is
                      still running. The developed libraries are made publicly
                      available as open source projects. We provide a
                      proof-of-concept integration, coupling the neuronal
                      simulator NEST to basic 2D and 3D
                      visualization.KeywordsNeuroscientific simulation In situ
                      visualization},
      month         = {Jun},
      date          = {2018-06-24},
      organization  = {ISC High Performance 2018, Frankfurt
                       (Germany), 24 Jun 2018 - 28 Jun 2018},
      cin          = {JSC / JARA-HPC},
      cid          = {I:(DE-Juel1)JSC-20090406 / $I:(DE-82)080012_20140620$},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511) / 574 - Theory, modelling and simulation
                      (POF3-574) / HBP SGA2 - Human Brain Project Specific Grant
                      Agreement 2 (785907) / SLNS - SimLab Neuroscience
                      (Helmholtz-SLNS)},
      pid          = {G:(DE-HGF)POF3-511 / G:(DE-HGF)POF3-574 /
                      G:(EU-Grant)785907 / G:(DE-Juel1)Helmholtz-SLNS},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      UT           = {WOS:000612998200022},
      doi          = {10.1007/978-3-030-02465-9_18},
      url          = {https://juser.fz-juelich.de/record/859933},
}