Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/12031
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dc.contributor.authorBorgdorff, J-
dc.contributor.authorMamonski, M-
dc.contributor.authorBosak, B-
dc.contributor.authorKurowski, K-
dc.contributor.authorBen Belgacem, M-
dc.contributor.authorChopard, B-
dc.contributor.authorGroen, D-
dc.contributor.authorCoveney, PV-
dc.contributor.authorHoekstra, AG-
dc.date.accessioned2016-02-05T14:33:46Z-
dc.date.available2014-01-01-
dc.date.available2016-02-05T14:33:46Z-
dc.date.issued2014-
dc.identifier.citationJournal of Computational Science, 5(5): pp. 719 - 731, (2014)en_US
dc.identifier.issn1877-7503-
dc.identifier.urihttp://www.sciencedirect.com/science/article/pii/S1877750314000465-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/12031-
dc.description.abstractWe present the Multiscale Coupling Library and Environment: MUSCLE 2. This multiscale component-based execution environment has a simple to use Java, C++, C, Python and Fortran API, compatible with MPI, OpenMP and threading codes. We demonstrate its local and distributed computing capabilities and compare its performance to MUSCLE 1, file copy, MPI, MPWide, and GridFTP. The local throughput of MPI is about two times higher, so very tightly coupled code should use MPI as a single submodel of MUSCLE 2; the distributed performance of GridFTP is lower, especially for small messages. We test the performance of a canal system model with MUSCLE 2, where it introduces an overhead as small as 5% compared to MPI.en_US
dc.description.sponsorshipThis research presented in this contribution is partially supported by the MAPPER project, which receives funding from the EU's Seventh Framework Programme (FP7/2007-2013) under grant agreement N RI-261507.en_US
dc.format.extent719 - 731-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectDistributed multiscale computingen_US
dc.subjectMultiscale modellingen_US
dc.subjectModel couplingen_US
dc.subjectExecution environmenten_US
dc.subjectMUSCLEen_US
dc.titleDistributed multiscale computing with MUSCLE 2, the Multiscale Coupling Library and Environmenten_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1016/j.jocs.2014.04.004-
dc.relation.isPartOfJournal of Computational Science-
pubs.issue5-
pubs.publication-statusPublished-
pubs.publication-statusPublished-
pubs.volume5-
Appears in Collections:Dept of Computer Science Research Papers

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