1. Research UNE
  2. UNE
  3. Journal Article
Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/5706
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSim, Leo Chinen
dc.contributor.authorLeedham, Grahamen
dc.contributor.authorJian, Leo Chinen
dc.contributor.authorSchroder, Heikoen
dc.date.accessioned2010-04-23T09:48:00Z-
dc.date.issued2003-
dc.identifier.citationParallel Computing, 29(11-12), p. 1669-1684en
dc.identifier.issn1872-7336en
dc.identifier.issn0167-8191en
dc.identifier.urihttps://hdl.handle.net/1959.11/5706-
dc.description.abstractIn this paper, we propose a new high-speed computation algorithm for solving a large N x N matrix system using the MIMD–SIMD Hybrid System. The MIMD–SIMD Hybrid System (also denoted as Hybrid System in this paper) is a new parallel architecture consisting of a combination of Cluster of Workstations (COWs) and SIMD systems working concurrently to produce an optimal parallel computation. We first introduce our prototype SIMD system and our Hybrid System setup before presenting how it can be implemented to find the unknowns in a large N x N linear matrix equation system using the 'Gauss–LU' algorithm. This algorithm basically performs the 'Divide and Conquer' approach by breaking down the large N x N matrix system into a manageable 32 x 32 matrix for fast computation.en
dc.languageenen
dc.publisherElsevier BVen
dc.relation.ispartofParallel Computingen
dc.titleFast solution of large N x N matrix equations in an MIMD-SIMD hybrid systemen
dc.typeJournal Articleen
dc.identifier.doi10.1016/j.parco.2003.05.011en
dc.subject.keywordsImage Processingen
dc.subject.keywordsComputer Visionen
dc.subject.keywordsPattern Recognition and Data Miningen
local.contributor.firstnameLeo Chinen
local.contributor.firstnameGrahamen
local.contributor.firstnameLeo Chinen
local.contributor.firstnameHeikoen
local.subject.for2008080106 Image Processingen
local.subject.for2008080109 Pattern Recognition and Data Miningen
local.subject.for2008080104 Computer Visionen
local.subject.seo2008810199 Defence not elsewhere classifieden
local.subject.seo2008890299 Computer Software and Services not elsewhere classifieden
local.subject.seo2008810107 National Securityen
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolScience and Technologyen
local.profile.emailcleedham@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20100421-163254en
local.publisher.placeNetherlandsen
local.format.startpage1669en
local.format.endpage1684en
local.identifier.scopusid0242574588en
local.peerreviewedYesen
local.identifier.volume29en
local.identifier.issue11-12en
local.contributor.lastnameSimen
local.contributor.lastnameLeedhamen
local.contributor.lastnameJianen
local.contributor.lastnameSchroderen
dc.identifier.staffune-id:cleedhamen
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:5843en
dc.identifier.academiclevelAcademicen
local.title.maintitleFast solution of large N x N matrix equations in an MIMD-SIMD hybrid systemen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorSim, Leo Chinen
local.search.authorLeedham, Grahamen
local.search.authorJian, Leo Chinen
local.search.authorSchroder, Heikoen
local.uneassociationUnknownen
local.year.published2003en
Appears in Collections:Journal Article
Files in This Item:
2 files
File Description SizeFormat 
Show simple item record

SCOPUSTM   
Citations

3
checked on Dec 28, 2024

Page view(s)

1,016
checked on Apr 2, 2023
Google Media

Google ScholarTM

Check

Altmetric


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.