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@INBOOK{Kunkel:137380,
      author       = {Kunkel, Susanne and Schmidt, Maximilian and Eppler, Jochen
                      Martin and Igarashi, Jun and Masumoto, Gen and Fukai, Tomoki
                      and Ishii, Shin and Plesser, Hans Ekkehard and Morrison,
                      Abigail and Diesmann, Markus and Helias, Moritz},
      title        = {{S}upercomputers ready for use as discovery machines for
                      neuroscience},
      reportid     = {FZJ-2013-03827},
      pages        = {T26-8B},
      year         = {2013},
      comment      = {Proceedings of the 10th Meeting of the German Neuroscience
                      Society},
      booktitle     = {Proceedings of the 10th Meeting of the
                       German Neuroscience Society},
      abstract     = {NEST is a widely used tool to simulate biological spiking
                      neural networks [1]. The simulator is subject to continuous
                      development, which is driven by the requirements of the
                      current neuroscientific questions. At present, a major part
                      of the software development focuses on the improvement of
                      the simulator's fundamental data structures in order to
                      enable brain-scale simulations on supercomputers such as the
                      Blue Gene system in Jülich and the K computer in Kobe.
                      Based on our memory-usage model [2], we redesigned the
                      neuronal and the connection infrastructure of NEST such that
                      networks of $10^8$ neurons and $10^12$ synapses can be
                      simulated on the K computer [3]. These improvements reduce
                      the memory footprint without compromising on the simulator's
                      general usability and user interface. Here, we describe the
                      recent technological advances which enable NEST to achieve
                      high performance and good scaling of network setup and
                      simulation on the K computer and on the Blue Gene system. We
                      demonstrate that the usability of these machines for network
                      simulations has become comparable to running simulations on
                      a single PC.},
      month         = {Mar},
      date          = {2013-03-13},
      organization  = {10th Meeting of the German
                       Neuroscience Society, Goettingen
                       (Germany), 13 Mar 2013 - 16 Mar 2013},
      cin          = {INM-6 / JSC / IAS-6},
      cid          = {I:(DE-Juel1)INM-6-20090406 / I:(DE-Juel1)JSC-20090406 /
                      I:(DE-Juel1)IAS-6-20130828},
      pnm          = {331 - Signalling Pathways and Mechanisms in the Nervous
                      System (POF2-331) / 411 - Computational Science and
                      Mathematical Methods (POF2-411) / Brain-Scale Simulations
                      $(jinb33_20121101)$ / BTN-Peta - The Next-Generation
                      Integrated Simulation of Living Matter (BTN-Peta-2008-2012)
                      / HASB - Helmholtz Alliance on Systems Biology
                      (HGF-SystemsBiology) / SMHB - Supercomputing and Modelling
                      for the Human Brain (HGF-SMHB-2013-2017) / W2Morrison -
                      W2/W3 Professorinnen Programm der Helmholtzgemeinschaft
                      (B1175.01.12) / SLNS - SimLab Neuroscience (Helmholtz-SLNS)},
      pid          = {G:(DE-HGF)POF2-331 / G:(DE-HGF)POF2-411 /
                      $G:(DE-Juel1)jinb33_20121101$ /
                      G:(DE-Juel1)BTN-Peta-2008-2012 /
                      G:(DE-Juel1)HGF-SystemsBiology /
                      G:(DE-Juel1)HGF-SMHB-2013-2017 / G:(DE-HGF)B1175.01.12 /
                      G:(DE-Juel1)Helmholtz-SLNS},
      typ          = {PUB:(DE-HGF)8},
      url          = {https://juser.fz-juelich.de/record/137380},
}