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Verification of a neuromorphic computing network simulator using experimental traffic data

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 represen...

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Autores principales: Kleijnen, Robert, Robens, Markus, Schiek, Michael, van Waasen, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9393391/
https://www.ncbi.nlm.nih.gov/pubmed/36003958
http://dx.doi.org/10.3389/fnins.2022.958343
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author Kleijnen, Robert
Robens, Markus
Schiek, Michael
van Waasen, Stefan
author_facet Kleijnen, Robert
Robens, Markus
Schiek, Michael
van Waasen, Stefan
author_sort Kleijnen, Robert
collection PubMed
description 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.
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spelling pubmed-93933912022-08-23 Verification of a neuromorphic computing network simulator using experimental traffic data Kleijnen, Robert Robens, Markus Schiek, Michael van Waasen, Stefan Front Neurosci Neuroscience 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. Frontiers Media S.A. 2022-08-08 /pmc/articles/PMC9393391/ /pubmed/36003958 http://dx.doi.org/10.3389/fnins.2022.958343 Text en Copyright © 2022 Kleijnen, Robens, Schiek and van Waasen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Kleijnen, Robert
Robens, Markus
Schiek, Michael
van Waasen, Stefan
Verification of a neuromorphic computing network simulator using experimental traffic data
title Verification of a neuromorphic computing network simulator using experimental traffic data
title_full Verification of a neuromorphic computing network simulator using experimental traffic data
title_fullStr Verification of a neuromorphic computing network simulator using experimental traffic data
title_full_unstemmed Verification of a neuromorphic computing network simulator using experimental traffic data
title_short Verification of a neuromorphic computing network simulator using experimental traffic data
title_sort verification of a neuromorphic computing network simulator using experimental traffic data
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9393391/
https://www.ncbi.nlm.nih.gov/pubmed/36003958
http://dx.doi.org/10.3389/fnins.2022.958343
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