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@INPROCEEDINGS{Schenck:173374,
      author       = {Schenck, Wolfram and Adinets, Andrey and Zaytsev, Yury and
                      Pleiter, Dirk and Morrison, Abigail},
      title        = {{P}erformance {M}odel for {L}arge-{S}cale {N}eural
                      {S}imulations with {NEST}},
      reportid     = {FZJ-2014-06784},
      year         = {2014},
      abstract     = {NEST is a simulator for large networks of spiking point
                      neurons for neuroscience research. A typical NEST simulation
                      consists of two stages: first the network is wired up, and
                      second the dynamics of the network is simulated. Our work
                      aims at developing a performance model for the second stage,
                      the simulation stage, by a semi-empirical approach. We
                      collected measurements of the runtime performance of NEST
                      under varying parameter settings on the JUQUEEN
                      supercomputer at Forschungszentrum Jülich, and subsequently
                      fitted a theoretical model to this data. This performance
                      model defines the simulation time as weighted sum of
                      algorithmic complexities which have been identified in the
                      NEST source code. After parameter fitting, the coefficient
                      of determination on the training data is close to 1.0, and
                      the model can be used to successfully extrapolate NEST
                      simulation times. Furthermore, recommendations for
                      algorithmic improvements of the NEST code can be derived
                      from the modeling results.},
      month         = {Nov},
      date          = {2014-11-16},
      organization  = {Supercomputing 2014, New Orleans
                       (USA), 16 Nov 2014 - 21 Nov 2014},
      subtyp        = {After Call},
      cin          = {JSC / JARA-HPC / IAS-6 / INM-6},
      cid          = {I:(DE-Juel1)JSC-20090406 / $I:(DE-82)080012_20140620$ /
                      I:(DE-Juel1)IAS-6-20130828 / I:(DE-Juel1)INM-6-20090406},
      pnm          = {411 - Computational Science and Mathematical Methods
                      (POF2-411) / 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)POF2-411 / G:(DE-Juel1)HGF-SMHB-2013-2017 /
                      G:(DE-HGF)B1175.01.12 / G:(DE-Juel1)Helmholtz-SLNS},
      typ          = {PUB:(DE-HGF)24},
      url          = {https://juser.fz-juelich.de/record/173374},
}