Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/14997
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dc.contributor.authorAlowayyed, S-
dc.contributor.authorGroen, D-
dc.contributor.authorHoekstra, AG-
dc.contributor.authorCoveney, PV-
dc.date.accessioned2017-08-07T11:29:27Z-
dc.date.available2017-07-23-
dc.date.available2017-08-07T11:29:27Z-
dc.date.issued2017-
dc.identifier.citationJournal of Computational Science, 2017en_US
dc.identifier.issn1877-7503-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/14997-
dc.description.abstractWe expect that multiscale simulations will be one of the main high performance computing workloads in the exascale era. We propose multiscale computing patterns as a generic vehicle to realise load balanced, fault tolerant and energy aware high performance multiscale computing. Multiscale computing patterns should lead to a separation of concerns, whereby application developers can compose multiscale models and execute multiscale simulations, while pattern software realises optimized, fault tolerant and energy aware multiscale computing. We introduce three multiscale computing patterns, present an example of the extreme scaling pattern, and discuss our vision of how this may shape multiscale computing in the exascale era.en_US
dc.language.isoenen_US
dc.subjectMultiscale modellingen_US
dc.subjectMultiscale computingen_US
dc.subjectHigh performance computingen_US
dc.subjectExascaleen_US
dc.titleMultiscale Computing in the Exascale Eraen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1016/j.jocs.2017.07.004-
dc.relation.isPartOfJournal of Computational Science-
pubs.publication-statusAccepted-
Appears in Collections:Dept of Computer Science Research Papers

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