文档介绍：anization,owningtoitsflexibility,,,wehaveestablishedCOW(ClusterOfWorkstation)thatbasedonPVM.,whichhasprovidedtheessential‘,webuildthemulti—luster,Second,wetestthecorrespondencedetentionofthepointtopointthatusesthePing—lusterthatusesmatrixmultiplicationaswell,,,weshouldcontroltheparallelgranularity,(MT)inversionmethod,,,,aminversion;SecondadoptinggreatgranularityparallelofLagrangescanwhileCalculatesthevalueofla;,luster’aminversionbyMaster-,putingresult;,putation,butitcouldprovidetheCHIVefittingofdifferentpvalue,putationisindependentbecauseofitsfixed斗value,,intheformationofpartialderivativematrixprocess,thespeechpartofthe丘equencyisindependent,thefrequencydatapointdoesnotassociatewitheachother’ 学院硕士学位论文Inaddition,,,wedonotestablishthespecialcontrolpoint,,ordingtotheexperimentationdata,,lusteLKeywords:PCCluster,puting,PVM,Occam,MT桂林工学院硕士学位论文研究生学位论文独创性声明和版权使用授权说明独创性声明本人声明:所呈交的论文是我个人在刘羽教授指导下进行的研究工作及取得的研究成果。尽我所知,除了文中特别加以标注和致谢的地方外,论文中不包含他人已经发表或撰写过的研究成果,也不包含为获得桂林工学院或其它教育机构的学位或证