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@INPROCEEDINGS{vanAlbada:155133,
      author       = {van Albada, Sacha and Kunkel, Susanne and Morrison, Abigail
                      and Diesmann, Markus},
      title        = {{I}ntegrating brain structure and dynamics on
                      supercomputers},
      volume       = {8603},
      address      = {Cham Heidelberg New York Dordrecht London},
      publisher    = {Springer},
      reportid     = {FZJ-2014-04318},
      isbn         = {978-3-319-12083-6 (print)},
      series       = {Lecture Notes in Computer Science},
      pages        = {22-32},
      year         = {2014},
      note         = {DOI: $10.1007/978-3-319-12084-3_3$},
      comment      = {Brain-inspired Computing},
      booktitle     = {Brain-inspired Computing},
      abstract     = {Large-scale simulations of neuronal networks provide a
                      unique view onto brain dynamics, complementing experiments,
                      small-scale simulations, and theory. They enable the
                      investigation of integrative models to arrive at a
                      multi-scale picture of brain dynamics relating macroscopic
                      imaging measures to the microscopic dynamics. Recent years
                      have seen rapid development of the necessary simulation
                      technology. We give an overview of design features of the
                      NEural Simulation Tool (NEST) that enable simulations of
                      spiking point neurons to be scaled to hundreds of thousands
                      of processors. The performance of supercomputing
                      applications is traditionally assessed using scalability
                      plots. We discuss reasons why such measures should be
                      interpreted with care in the context of neural network
                      simulations. The scalability of neural network simulations
                      on available supercomputers is limited by memory constraints
                      rather than computational speed. This calls for future
                      generations of supercomputers that are more attuned to the
                      requirements of memory-intensive neuroscientific
                      applications.},
      month         = {Jul},
      date          = {2013-07-08},
      organization  = {1st International Workshop on
                       Brain-inspired Computing, Cetraro
                       (Italy), 8 Jul 2013 - 11 Jul 2013},
      cin          = {INM-6 / IAS-6 / JSC},
      ddc          = {004},
      cid          = {I:(DE-Juel1)INM-6-20090406 / I:(DE-Juel1)IAS-6-20130828 /
                      I:(DE-Juel1)JSC-20090406},
      pnm          = {331 - Signalling Pathways and Mechanisms in the Nervous
                      System (POF2-331) / 411 - Computational Science and
                      Mathematical Methods (POF2-411) / 89574 - Theory, modelling
                      and simulation (POF2-89574) / BRAINSCALES - Brain-inspired
                      multiscale computation in neuromorphic hybrid systems
                      (269921) / HBP - The Human Brain Project (604102) /
                      Brain-Scale Simulations $(jinb33_20121101)$ / SMHB -
                      Supercomputing and Modelling for the Human Brain
                      (HGF-SMHB-2013-2017) / BTN-Peta - The Next-Generation
                      Integrated Simulation of Living Matter (BTN-Peta-2008-2012)
                      / HASB - Helmholtz Alliance on Systems Biology
                      (HGF-SystemsBiology) / 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-HGF)POF2-89574 / G:(EU-Grant)269921 /
                      G:(EU-Grant)604102 / $G:(DE-Juel1)jinb33_20121101$ /
                      G:(DE-Juel1)HGF-SMHB-2013-2017 /
                      G:(DE-Juel1)BTN-Peta-2008-2012 /
                      G:(DE-Juel1)HGF-SystemsBiology / G:(DE-HGF)B1175.01.12 /
                      G:(DE-Juel1)Helmholtz-SLNS},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      UT           = {WOS:000345024600003},
      doi          = {10.1007/978-3-319-12084-3_3},
      url          = {https://juser.fz-juelich.de/record/155133},
}