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@INPROCEEDINGS{Pronold:864815,
      author       = {Pronold, Jari and Kunkel, Susanne},
      title        = {{M}eeting the performance challenges of spiking network
                      simulations on general purpose computers},
      reportid     = {FZJ-2019-04471},
      year         = {2019},
      abstract     = {Today’s extremely scalable simulation technology for
                      spiking neuronal networks enables the representation of
                      models of more than a billion of neurons and their
                      connections using the entire K computer. However, the
                      runtimes of the largest possible simulations carried out so
                      far were too long to allow for observations of the network
                      dynamics over long periods of time, and also small to
                      medium-scale simulations typically run in far more than
                      real-time. The performance challenges for spiking neuronal
                      network simulators such as NEST on general purpose computers
                      arise from the inherent sparse but broad connectivity
                      between neurons and from the unpredictable neuronal spiking
                      activity. In distributed simulations of spiking networks,
                      this requires frequent communication of spike data, and on
                      each compute node routing of the incoming spikes to the
                      local targets. This entails irregular memory access and
                      hence constitutes a major performance bottleneck, which is a
                      problem that I will address in my talk. I will present
                      recent developments in simulation technology that aim at
                      meeting such performance challenges.},
      organization  = {RCCS Institutional seminar, RCCS Kobe
                       (Japan)},
      subtyp        = {Invited},
      cin          = {INM-6 / IAS-6 / INM-10},
      cid          = {I:(DE-Juel1)INM-6-20090406 / I:(DE-Juel1)IAS-6-20130828 /
                      I:(DE-Juel1)INM-10-20170113},
      pnm          = {574 - Theory, modelling and simulation (POF3-574) /
                      Advanced Computing Architectures $(aca_20190115)$ /
                      Brain-Scale Simulations $(jinb33_20121101)$ / PhD no Grant -
                      Doktorand ohne besondere Förderung (PHD-NO-GRANT-20170405)},
      pid          = {G:(DE-HGF)POF3-574 / $G:(DE-Juel1)aca_20190115$ /
                      $G:(DE-Juel1)jinb33_20121101$ /
                      G:(DE-Juel1)PHD-NO-GRANT-20170405},
      typ          = {PUB:(DE-HGF)31},
      url          = {https://juser.fz-juelich.de/record/864815},
}