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1、JournalofComputationalScience10(2015)249–261ContentslistsavailableatScienceDirectJournalofComputationalSciencejournalhomepage:www.elsevier.com/locate/jocsAcceleratingfluid–solidsimulations(Lattice-Boltzmann&onheterogeneousarchitecturesImmersed-Boundary
2、)Pedroa,∗bbcValero-Lara,FranciscoD.Igual,ManuelPrieto-Matías,AlfredoPinelli,JuliendFavieraBCAM–BasqueCenterforAppliedMathematics,Bilbao,SpainbDepartamentodeArquitecturadeComputadoresyAutomaática,UniversidadComplutensedeMadrid,Madrid,SpaincSchoolofEngi
3、neeringandMathematicalSciences,CityUniversityLondon,London,UnitedKingdomdAixMarseilleUniversité,CNRS,CentraleMarseille,M2P2UMR7340,13451Marseille,FrancearticleinfoabstractArticlehistory:WeproposeanumericalapproachbasedontheLattice-Boltzmann(LBM)andImm
4、ersedBoundary(IB)Received13October2014methodstotackletheproblemoftheinteractionofsolidswithanincompressiblefluidflow,anditsReceivedinrevisedform26May2015implementationonheterogeneousplatformsbasedondata-parallelacceleratorssuchasNVIDIAGPUsAccepted2July2
5、015andtheIntelXeonPhi.WeexplainindetailtheparallelizationofthesemethodsanddescribeanumberAvailableonline14July2015ofoptimizations,mainlyfocusingonimprovingmemorymanagementandreducingthecostofhost-acceleratorcommunication.Aspreviousresearchhasconsisten
6、tlyshown,pureLBMsimulationsareableKeywords:toachievegoodperformanceresultsonheterogeneoussystemsthankstothehighparallelefficiencyofParallelcomputingthismethod.Unfortunately,whencouplingLBMandIBmethods,theoverheadsofIBdegradetheoverallfluiddynamicsComput
7、ationalperformance.Asanalternative,wehaveexploreddifferenthybridimplementationsthateffectivelyhideFluid–solidinteractionsuchoverheadsandallowustoexploitboththemulti-coreandthehardwareacceleratorinacooperativeLattice-Boltzmannmethodway,withexcellentper
8、formanceresults.Immersed-BoundarymethodHeterogeneouscomputing©2015ElsevierB.V.Allrightsreserved.1.IntroductionsolversareparticularlywellsuitedforGPUaccelerationandareabletoachievesignificantperformanceimprovements.TheLat-Thedynamicsofasolidinafl
