Improving scalability of large-scale distributed Spiking Neural Network simulations on High Performance Computing systems using novel architecture-aware streaming hypergraph partitioning

Fernandez Musoles, Carlos (2020) Improving scalability of large-scale distributed Spiking Neural Network simulations on High Performance Computing systems using novel architecture-aware streaming hypergraph partitioning. PhD thesis, University of Sheffield.

Abstract

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Keywords: distributed computing, high performance computing, spiking neural network, simulations, hypergraph, graph partitioning, streaming partitioning
Awarding institution: University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Automatic Control and Systems Engineering (Sheffield)
Identification Number/EthosID (e.g. uk.bl.ethos.123456): uk.bl.ethos.832513
Depositing User: Dr Carlos Fernandez Musoles
Date Deposited: 21 Jun 2021 09:29
Last Modified: 01 Aug 2021 09:53

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