TY  - JOUR
AU  - Kleijnen, Robert
AU  - Robens, Markus
AU  - Schiek, Michael
AU  - van Waasen, Stefan
TI  - Verification of a neuromorphic computing network simulator using experimental traffic data
JO  - Frontiers in neuroscience
VL  - 16
SN  - 1662-453X
CY  - Lausanne
PB  - Frontiers Research Foundation
M1  - FZJ-2022-03851
SP  - 958343
PY  - 2022
AB  - 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.
LB  - PUB:(DE-HGF)16
C6  - 36003958
UR  - <Go to ISI:>//WOS:000843313800001
DO  - DOI:10.3389/fnins.2022.958343
UR  - https://juser.fz-juelich.de/record/910468
ER  -