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@INPROCEEDINGS{Klijn:836542,
      author       = {Klijn, Wouter and Cumming, Benjamin and Yates, Stuart and
                      Karakasis, Vasileios and Peyser, Alexander},
      title        = {{A}rbor: {A} morphologically detailed neural network
                      simulator for modern high performance computer
                      architectures},
      school       = {University of Antwerp},
      reportid     = {FZJ-2017-05647},
      year         = {2017},
      abstract     = {Arbor is a new multicompartment neural network simulator
                      currently under development as a collaboration between the
                      Simulation Lab Neuroscience at the Forschungszentrum
                      Jülich, the Barcelona Supercomputing Center and the Swiss
                      National Supercomputing Center. Arbor will enable new scales
                      and classes of morphologically detailed neuronal network
                      simulations on current and future supercomputing
                      architectures.A number of "many-core" architectures such as
                      GPU and Intel Xeon Phi based systems are currently
                      available. To optimally use these emerging architecture new
                      approaches in software development and algorithm design are
                      needed. Arbor is being written specifically with performance
                      for this hardware in mind (Fig. 1); it aims to be a flexible
                      platform for neural network simulation while keeping
                      interoperability with models and workflows developed for
                      NEST and NEURON.The improvements in performance and
                      flexibility in themselves will enable a variety of novel
                      experiments, but the design is not yet finalized, and is
                      driven by the requirements of the neuroscientific community.
                      The prototype is open source
                      (https://github.com/eth-cscs/nestmc-proto ,
                      http://usertest.cscs.ch/nestmc/) and we invite you to have a
                      look. We are interested in your ideas for features which
                      will make new science possible: we ask you to think outside
                      of the box and build this next generation neurosimulator
                      together with us.Which directions do you want us to go
                      in?Simulate large morphological detailed networks for longer
                      time scales: Study slow developing phenomena.Reduce the time
                      to solution: Perform more repeat experiments for increased
                      statistical power.Create high performance interfaces with
                      other software: Perform online statistical analysis and
                      visualization of your running models, study the brain at
                      multiple scales with specialized tools, or embed detailed
                      networks in physically modeled animals.Optimize dynamic
                      structures for models with time-varying number of neurons,
                      synapses and compartments: simulate neuronal development,
                      healing after injury and age related neuronal degeneration.},
      month         = {Jul},
      date          = {2017-07-15},
      organization  = {26th Computational Neuroscience
                       Meeting, Antwerp (Belgium), 15 Jul 2017
                       - 20 Jul 2017},
      subtyp        = {Other},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511) / 574 - Theory, modelling and simulation
                      (POF3-574) / SMHB - Supercomputing and Modelling for the
                      Human Brain (HGF-SMHB-2013-2017) / HBP SGA1 - Human Brain
                      Project Specific Grant Agreement 1 (720270) / SLNS - SimLab
                      Neuroscience (Helmholtz-SLNS)},
      pid          = {G:(DE-HGF)POF3-511 / G:(DE-HGF)POF3-574 /
                      G:(DE-Juel1)HGF-SMHB-2013-2017 / G:(EU-Grant)720270 /
                      G:(DE-Juel1)Helmholtz-SLNS},
      typ          = {PUB:(DE-HGF)24},
      url          = {https://juser.fz-juelich.de/record/836542},
}