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1、SupportingFiniteElementAnalysiswithaRelationalDatabaseBackend 19SupportingFiniteElementAnalysiswithaRelationalDatabaseBackendPartII:DatabaseDesignandAccessGerdHeberCornellTheoryCenter,638RhodesHall,CornellUniversity,Ithaca,NY14853,USAheber@tc.cornell.eduJimGrayMicrosoftResearch,SanFr
2、ancisco,CA94105,USAGray@microsoft.comMarch2006TechnicalReportMSR-TR-2006-21MicrosoftResearchMicrosoftCorporationOneMicrosoftWayRedmond,WA98052SupportingFiniteElementAnalysiswithaRelationalDatabaseBackend 19SupportingFiniteElementAnalysiswithaRelationalDatabaseBackendPartII:DatabaseDe
3、signandAccessGerdHeber*,JimGray†*CornellTheoryCenter,638RhodesHall,Ithaca,NY14853,USAheber@tc.cornell.edu†MicrosoftResearch,455MarketSt.,SanFrancisco,CA94105,USAGray@microsoft.comAbstract:ThisisPartIIofathreearticleseriesonusingdatabasesforFiniteElementAnalysis(FEA).Itdiscusses(1)dbd
4、esign,(2)dataloading,(3)typicalusecasesduringgridbuilding,(4)typicalusecasesduringsimulation(getandput),(5)typicalusecasesduringanalysis(alsodoneinPartIII)andsomeperformancemeasuresofthesecases.Itarguesthatusingadatabaseissimplertoimplementthancustomdataschemas,hasbetterperformancebe
5、causeitcanusedataparallelism,andbettersupportsFEAmodularityandtoolevolutionbecausedatabaseschemaevolution,dataindependence,andself-definingdata.IntroductionComputationalmaterialssciencesimulationsaredata-intensivetasks.Theystartbydesigningoneormoregeometricmodelsofpartsorstructuresan
6、dgeneratingthesimulationfiniteelementmesh(es)orotherdiscretizations.Thenthesimulationisrun,andfinallyoneanalyzestheresults.Alargemodelcantakedaystodesign,weeksormonthstorun,andmonthstoanalyze.Eachofthesestepsmayhavemanysubtasksandsomeofthemmightbeperformedinloops.Eachrequirescarefulb
7、ookkeeping,andeachconsumesandproduceslargeandcomplexdatasets.Inthisreport,weignoretheenormousbodyofdataandknowledgeproducedbyexperiments,capturedbysensors,andpublishedintheliterature.Despiteaccesslimitationstopartsofthisinformationduetocommercialand/ornationaldefensevalue,modelingand
8、chartingjust
