Show simple item record

dc.contributor.authorZhu, G
dc.contributor.authorHughes, Jason
dc.contributor.authorZheng, Siming
dc.contributor.authorGreaves, Deborah
dc.date.accessioned2022-11-29T22:52:38Z
dc.date.available2022-11-29T22:52:38Z
dc.date.issued2023-03
dc.identifier.issn0010-4655
dc.identifier.issn1879-2944
dc.identifier.other108608
dc.identifier.urihttp://hdl.handle.net/10026.1/20035
dc.description.abstract

This paper presents a new Smoothed Particle Hydrodynamics (SPH) parallel framework, which is designed for free surface flows and is scalable on a High Performance Computer (HPC). The framework is accomplished by adopting a Message Passing Interface (MPI) approach with a domain partitioning strategy. A regular background grid is used to partition the entire computational domain and each subdomain is labelled using an index ordering method. Adjacent subdomains can be determined by the index list, and avoid global communications in the particle distribution process. Within the local grid, the grid is divided into an internal grid as well as an interactive grid to identify the particles for which information is to be transferred. The implementation of the dynamic loading balance strategy considers two different ways of determining loading: computation particle numbers and running time. The dynamic load balance strategy repositions neighbouring subdomains based on the local load imbalance between cores. To demonstrate the framework’s capacity and distinctive properties, a variety of free surface flow benchmarks are studied. Intensive numerical experiments at various scales are used to assess the performance in detail.

dc.format.extent108608-108608
dc.languageen
dc.language.isoen
dc.publisherElsevier BV
dc.subjectSmoothed particle hydrodynamics
dc.subjectParallel computing
dc.subjectLoad balance
dc.subjectFree surface flow
dc.titleA Novel MPI-based Parallel Smoothed Particle Hydrodynamics Framework with Dynamic Load Balancing for Free Surface Flow
dc.typejournal-article
dc.typeJournal Article
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000914587900002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.volume284
plymouth.publication-statusPublished
plymouth.journalComputer Physics Communications
dc.identifier.doi10.1016/j.cpc.2022.108608
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA12 Engineering
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dcterms.dateAccepted2022-11-21
dc.rights.embargodate2022-12-8
dc.identifier.eissn1879-2944
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1016/j.cpc.2022.108608
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.typeJournal Article/Review


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record


All items in PEARL are protected by copyright law.
Author manuscripts deposited to comply with open access mandates are made available in accordance with publisher policies. Please cite only the published version using the details provided on the item record or document. In the absence of an open licence (e.g. Creative Commons), permissions for further reuse of content should be sought from the publisher or author.
Theme by 
Atmire NV