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Parallel computing in railway research

Available computing power for researchers has been increasing exponentially over the last decade. Parallel computing is possibly the best way to harness computing power provided by multiple computing units. This paper reviews parallel computing applications in railway research as well as the enabling techniques used for the purpose. Nine enabling techniques were reviewed and Message Passing Interface, Domain Decomposition and Hadoop & Apache are the top three most widely used enabling techniques. Seven major application topics were reviewed and iterative optimisations, continuous dynamics and data & signal analysis are the most widely reported applications. The reasons why these applications are suitable for parallel computing were discussed as well as the suitability of various enabling techniques for different applications. Computing time speed-ups that were reported from these applications were summarised. The challenges for applying parallel computing for railway research are discussed. © 2018, © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

History

Volume

8

Issue

2

Start Page

111

End Page

134

Number of Pages

24

eISSN

2324-8386

ISSN

2324-8378

Publisher

Taylor & Francis

Additional Rights

CC BY-NC-ND 4.0

Language

en

Peer Reviewed

Yes

Open Access

Yes

Acceptance Date

25/11/2018

Author Research Institute

Centre for Railway Engineering

Era Eligible

Yes

Journal

International Journal of Rail Transportation