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Acceleration of a python-based tsunami modelling application via CUDA and OpenHMPP

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dc.contributor.authorWeng, Zhe
dc.contributor.authorStrazdins, Peter
dc.coverage.spatialArizona, USA
dc.date.accessioned2015-12-10T22:39:36Z
dc.date.createdMay 19-23 2014
dc.date.issued2014
dc.date.updated2015-12-09T10:52:55Z
dc.description.abstractModern graphics processing units (GPUs) have became powerful and cost-effective computing platforms. Parallel programming standards (e.g. CUDA) and directive-based programming standards (like OpenHMPP and OpenACC) are available to harness this tremendous
dc.identifier.isbn9780769552088
dc.identifier.urihttp://hdl.handle.net/1885/57253
dc.publisherIEEE
dc.relation.ispartofseries28th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2014
dc.sourceProceedings of the International Parallel and Distributed Processing Symposium, IPDPS
dc.titleAcceleration of a python-based tsunami modelling application via CUDA and OpenHMPP
dc.typeConference paper
local.bibliographicCitation.lastpage1284
local.bibliographicCitation.startpage1275
local.contributor.affiliationWeng, Zhe, College of Engineering and Computer Science, ANU
local.contributor.affiliationStrazdins, Peter, College of Engineering and Computer Science, ANU
local.contributor.authoruidWeng, Zhe, u5044856
local.contributor.authoruidStrazdins, Peter, u8914893
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080302 - Computer System Architecture
local.identifier.absfor080501 - Distributed and Grid Systems
local.identifier.absfor080304 - Concurrent Programming
local.identifier.ariespublicationa383154xPUB393
local.identifier.doi10.1109/IPDPSW.2014.143
local.identifier.scopusID2-s2.0-84918769124
local.type.statusPublished Version

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