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@ARTICLE{Kleijnen:910468,
      author       = {Kleijnen, Robert and Robens, Markus and Schiek, Michael and
                      van Waasen, Stefan},
      title        = {{V}erification of a neuromorphic computing network
                      simulator using experimental traffic data},
      journal      = {Frontiers in neuroscience},
      volume       = {16},
      issn         = {1662-453X},
      address      = {Lausanne},
      publisher    = {Frontiers Research Foundation},
      reportid     = {FZJ-2022-03851},
      pages        = {958343},
      year         = {2022},
      abstract     = {Simulations are a powerful tool to explore the design space
                      of hardware systems, offering the flexibility to analyze
                      different designs by simply changing parameters within the
                      simulator setup. A precondition for the effectiveness of
                      this methodology is that the simulation results accurately
                      represent the real system. In a previous study, we
                      introduced a simulator specifically designed to estimate the
                      network load and latency to be observed on the connections
                      in neuromorphic computing (NC) systems. The simulator was
                      shown to be especially valuable in the case of large scale
                      heterogeneous neural networks (NNs). In this work, we
                      compare the network load measured on a SpiNNaker board
                      running a NN in different configurations reported in the
                      literature to the results obtained with our simulator
                      running the same configurations. The simulated network loads
                      show minor differences from the values reported in the
                      ascribed publication but fall within the margin of error,
                      considering the generation of the test case NN based on
                      statistics that introduced variations. Having shown that the
                      network simulator provides representative results for this
                      type of —biological plausible—heterogeneous NNs, it also
                      paves the way to further use of the simulator for more
                      complex network analyses.},
      cin          = {ZEA-2},
      ddc          = {610},
      cid          = {I:(DE-Juel1)ZEA-2-20090406},
      pnm          = {5234 - Emerging NC Architectures (POF4-523) / ACA -
                      Advanced Computing Architectures (SO-092)},
      pid          = {G:(DE-HGF)POF4-5234 / G:(DE-HGF)SO-092},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {36003958},
      UT           = {WOS:000843313800001},
      doi          = {10.3389/fnins.2022.958343},
      url          = {https://juser.fz-juelich.de/record/910468},
}