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@INPROCEEDINGS{Senk:828103,
      author       = {Senk, Johanna and Yegenoglu, Alper and Amblet, Olivier and
                      Brukau, Yury and Davison, Andrew and Lester, David Roland
                      and Lührs, Anna and Quaglio, Pietro and Rostami, Vahid and
                      Rowley, Andrew and Schuller, Bernd and Stokes, Alan Barry
                      and van Albada, Sacha and Zielasko, Daniel and Diesmann,
                      Markus and Weyers, Benjamin and Denker, Michael and Grün,
                      Sonja},
      title        = {{A} {C}ollaborative {S}imulation-{A}nalysis {W}orkflow for
                      {C}omputational {N}euroscience {U}sing {HPC}},
      volume       = {10164},
      address      = {Cham},
      publisher    = {Springer International Publishing},
      reportid     = {FZJ-2017-02102},
      isbn         = {978-3-319-53861-7 (print)},
      series       = {Lecture Notes in Computer Science},
      pages        = {243 - 256},
      year         = {2017},
      comment      = {High-Performance Scientific Computing / Di Napoli, Edoardo
                      (Editor) ; Cham : Springer International Publishing, 2017,
                      Chapter 21 ; ISSN: 0302-9743=1611-3349 ; ISBN:
                      978-3-319-53861-7=978-3-319-53862-4 ;
                      doi:10.1007/978-3-319-53862-4},
      booktitle     = {High-Performance Scientific Computing
                       / Di Napoli, Edoardo (Editor) ; Cham :
                       Springer International Publishing,
                       2017, Chapter 21 ; ISSN:
                       0302-9743=1611-3349 ; ISBN:
                       978-3-319-53861-7=978-3-319-53862-4 ;
                       doi:10.1007/978-3-319-53862-4},
      abstract     = {Workflows for the acquisition and analysis of data in the
                      natural sciences exhibit a growing degree of complexity and
                      heterogeneity, are increasingly performed in large
                      collaborative efforts, and often require the use of
                      high-performance computing (HPC). Here, we explore the
                      reasons for these new challenges and demands and discuss
                      their impact with a focus on the scientific domain of
                      computational neuroscience. We argue for the need of
                      software platforms integrating HPC systems that allow
                      scientists to construct, comprehend and execute workflows
                      composed of diverse data generation and processing steps
                      using different tools. As a use case we present a concrete
                      implementation of such a complex workflow, covering diverse
                      topics such as HPC-based simulation using the NEST software,
                      access to the SpiNNaker neuromorphic hardware platform,
                      complex data analysis using the Elephant library, and
                      interactive visualization methods for facilitating further
                      analysis. Tools are embedded into a web-based software
                      platform under development by the Human Brain Project,
                      called the Collaboratory. On the basis of this
                      implementation, we discuss the state of the art and future
                      challenges in constructing large, collaborative workflows
                      with access to HPC resources.},
      month         = {Oct},
      date          = {2016-10-04},
      organization  = {Jülich Aachen Research Alliance
                       (JARA) High-Performance Computing
                       Symposium, Aachen (Germany), 4 Oct 2016
                       - 5 Oct 2016},
      cin          = {JSC / INM-6 / IAS-6 / JARA-HPC},
      ddc          = {004},
      cid          = {I:(DE-Juel1)JSC-20090406 / I:(DE-Juel1)INM-6-20090406 /
                      I:(DE-Juel1)IAS-6-20130828 / $I:(DE-82)080012_20140620$},
      pnm          = {571 - Connectivity and Activity (POF3-571) / 574 - Theory,
                      modelling and simulation (POF3-574) / 511 - Computational
                      Science and Mathematical Methods (POF3-511) / 512 -
                      Data-Intensive Science and Federated Computing (POF3-512) /
                      SMHB - Supercomputing and Modelling for the Human Brain
                      (HGF-SMHB-2013-2017) / HBP SGA1 - Human Brain Project
                      Specific Grant Agreement 1 (720270) / HBP - The Human Brain
                      Project (604102) / SLNS - SimLab Neuroscience
                      (Helmholtz-SLNS)},
      pid          = {G:(DE-HGF)POF3-571 / G:(DE-HGF)POF3-574 /
                      G:(DE-HGF)POF3-511 / G:(DE-HGF)POF3-512 /
                      G:(DE-Juel1)HGF-SMHB-2013-2017 / G:(EU-Grant)720270 /
                      G:(EU-Grant)604102 / G:(DE-Juel1)Helmholtz-SLNS},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      doi          = {10.1007/978-3-319-53862-4_21},
      url          = {https://juser.fz-juelich.de/record/828103},
}