Routing Brain Traffic Through the Von Neumann Bottleneck: Parallel Sorting and Refactoring

Generic simulation code for spiking neuronal networks spends the major part of the time in the phase where spikes have arrived at a compute node and need to be delivered to their target neurons. These spikes were emitted over the last interval between communication steps by source neurons distribute...

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Veröffentlicht in:	Frontiers in neuroinformatics Jg. 15; S. 785068
Hauptverfasser:	Pronold, Jari, Jordan, Jakob, Wylie, Brian J. N., Kitayama, Itaru, Diesmann, Markus, Kunkel, Susanne
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland Frontiers Research Foundation 01.03.2022 Frontiers Media S.A
Schlagworte:	Algorithms Communication Computer programs distributed computing Firing pattern irregular access pattern large-scale simulation Latency Memory Neural networks Neurons Neuroscience parallel computing Simulation Software Sparsity spiking neural networks Synchronization irregular access pattern large-scale simulation spiking neural networks memory-access bottleneck sparsity parallel computing distributed computing
ISSN:	1662-5196, 1662-5196
Online-Zugang:	Volltext
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