Chisholm, R. orcid.org/0000-0003-3379-9042, Richmond, P. and Maddock, S. (2017) A Standardised Benchmark for Assessing the Performance of Fixed Radius Near Neighbours. In: Euro-Par 2016: Parallel Processing Workshops. The 4th Workshop on Parallel and Distributed Agent-Based Simulations (PADABS), 22-26 Aug 2016, Grenoble, France. Springer, Cham , pp. 311-321. ISBN 978-3-319-58942-8
Abstract
Many agent based models require agents to have an awareness of their local peers. The handling of these fixed radius near neighbours (FRNNs) is often a limiting factor of performance. However without a standardised metric to assess the handling of FRNNs, contributions to the field lack the rigorous appraisal necessary to expose their relative benefits. This paper presents a standardised specification of a multi agent based benchmark model. The benchmark model provides a means for the objective assessment of FRNNs performance, through the comparison of implementations. Results collected from implementations of the benchmark model under three agent based modelling frameworks show the 64-bit floating point performance of each framework to scale linearly with agent population, in contrast the GPU accelerated framework’s 32- bit floating point performance only became linear after maximal device utilisation around 100,000 agents
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Springer International Publishing AG 2017. This is an author produced version of a paper subsequently published in Lecture Notes in Computer Science. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Parallel Agent Based Simulation; OpenAB; Benchmarking; Fixed Radius Near Neighbours; FLAMEGPU; MASON; Repast Simphony |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 01 Sep 2016 14:56 |
Last Modified: | 19 Jul 2017 05:33 |
Published Version: | https://doi.org/10.1007/978-3-319-58943-5_25 |
Status: | Published |
Publisher: | Springer, Cham |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-319-58943-5_25 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:104079 |