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000906212 037__ $$aFZJ-2022-01296
000906212 1001_ $$0P:(DE-Juel1)178650$$aKleijnen, Robert$$b0$$eCorresponding author$$ufzj
000906212 1112_ $$a2021 IEEE 14th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)$$cSingapore$$d2021-12-20 - 2021-12-23$$wSingapore
000906212 245__ $$aA Network Simulator for the Estimation of Bandwidth Load and Latency Created by Heterogeneous Spiking Neural Networks on Neuromorphic Computing Communication Networks
000906212 260__ $$bIEEE$$c2021
000906212 300__ $$a320-327
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000906212 520__ $$aObserving long-term learning effects caused by neuron activity in the human brain in vivo, over a period of weeks, months, or years, is impractical. Over the last decade, the field of neuromorphic computing hardware has grown significantly, i.e. SpiNNaker, BrainScaleS and Neurogrid. These novel many-core simulation platforms offer a practical alternative to study neuron behaviour in the brain at an accelerated rate, with a high level of detail. However, they do by far not reach human brain scales yet as in particular the massive amount of spike communication turns out to be a bottleneck. In this paper, we introduce a network simulator specifically developed for the analysis of bandwidth load and latency of different network topologies and communication protocols in neuromorphic computing communication networks in high detail. Unique to this simulator, compared to state of the art network models and simulators, is its ability to simulate the impact of heterogeneous neural connectivity by different models as well as the evaluation of neuron mapping algorithms. We cross-check the simulator by comparing the results of a run using a homogeneous neural network to the bandwidth load resulting from comparable works, but simultaneously show the increased level of detail reached with our simulator. Finally, we show the impact heterogeneous connectivity can have on the bandwidth and how different neuron mapping algorithms can enhance this effect.
000906212 536__ $$0G:(DE-HGF)POF4-5234$$a5234 - Emerging NC Architectures (POF4-523)$$cPOF4-523$$fPOF IV$$x0
000906212 588__ $$aDataset connected to CrossRef Conference
000906212 7001_ $$0P:(DE-Juel1)156319$$aRobens, Markus$$b1$$ufzj
000906212 7001_ $$0P:(DE-Juel1)133935$$aSchiek, Michael$$b2$$ufzj
000906212 7001_ $$0P:(DE-Juel1)142562$$avan Waasen, Stefan$$b3$$ufzj
000906212 773__ $$a10.1109/MCSoC51149.2021.00054
000906212 8564_ $$uhttps://juser.fz-juelich.de/record/906212/files/Network%20Simulator%20Paper%20-%20Accepted%20Version.pdf$$yRestricted
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000906212 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)133935$$aForschungszentrum Jülich$$b2$$kFZJ
000906212 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)142562$$aForschungszentrum Jülich$$b3$$kFZJ
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000906212 9141_ $$y2022
000906212 920__ $$lyes
000906212 9201_ $$0I:(DE-Juel1)ZEA-2-20090406$$kZEA-2$$lZentralinstitut für Elektronik$$x0
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