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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Vydané v:	Frontiers in neuroinformatics Ročník 15; s. 785068
Hlavní autori:	Pronold, Jari, Jordan, Jakob, Wylie, Brian J. N., Kitayama, Itaru, Diesmann, Markus, Kunkel, Susanne
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland Frontiers Research Foundation 01.03.2022 Frontiers Media S.A
Predmet:	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
On-line prístup:	Získať plný text
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