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@MASTERSTHESIS{Sontheimer:872998,
      author       = {Sontheimer, Kim},
      title        = {{I}n {T}ransit {C}oupling of {N}euroscientific {S}imulation
                      and {A}nalysis on {H}igh {P}erformance {C}omputing
                      {S}ystems},
      school       = {FH Aachen},
      type         = {Masterarbeit},
      reportid     = {FZJ-2020-00449},
      pages        = {61 p.},
      year         = {2019},
      note         = {Masterarbeit, FH Aachen, 2019},
      abstract     = {High performance computing (HPC) is experiencing an
                      increasing imbalance be-tween processing power and I/O
                      capabilities. This imbalance has led to the challengeof
                      managing the large amounts of data produced by extreme-scale
                      simulations. Ithas become prohibitive expensive to store
                      this data on disk for subsequent offlineanalysis. In transit
                      processing could perform this analysis on memory-resident
                      data.In this thesis, based on requirements of
                      neuroscientific use cases, a frameworkhas been designed,
                      implemented and tested on the JURECA supercomputer locatedat
                      the Forschungszentrum Jülich. In the framework, simulation
                      and analysis areconnected in transit across compute nodes
                      using a client-server model. Data istransferred in a
                      streaming manner, without disk I/O in between. The
                      frameworkfulfills the presented use case requirements.
                      Dedicated experiments on algorithmicsolutions of the data
                      transfer show, that no data is lost during transfer.The
                      design of the framework enables future integration of other
                      software and thuscould serve as a basis for in transit
                      coupling in neuroscientific workflows on HPCsystems.},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511) / SLNS - SimLab Neuroscience (Helmholtz-SLNS)},
      pid          = {G:(DE-HGF)POF3-511 / G:(DE-Juel1)Helmholtz-SLNS},
      typ          = {PUB:(DE-HGF)19},
      url          = {https://juser.fz-juelich.de/record/872998},
}