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1、InstituteofPhysicsPublishingJournalofPhysics:ConferenceSeries46(2006)535–544doi:10.1088/1742-6596/46/1/074SciDAC2006Visualizationoflargescaletime-varyingscienti?cdataHan-WeiShenDepartmentofComputerScienceandEngineeringTheOhioStateUniversity395DreeseLab,2015NailAvenue,Columbus
2、,OH43210E-mail:hwshen@cse.ohio-state.eduAbstract.Newchallengesforscientistshaveemergedinthepastseveralyearsasthesizeofdatageneratedfromsimulationshasexperiencedanexponentialgrowth.Onemajorfactorthatiscontributingtothegrowthofdatasizeistheincreasinglywidespreadabilitytoperform
3、verylargescaletime-varyingsimulations.Toanalyzecomplexdynamicphenomenafromatime-varyingdataset,itisnecessarytonavigateandbrowsethedatainboththespatialandtemporaldomains,selectdataatdi?erentresolutions,experimentwithdi?erentvisualizationparameters,andcomputeandanimateselectedf
4、eaturesoveraperiodoftime.Inthispaper,wepresentseveralalgorithmsforvisualizinglargescaletime-varyingscienti?cdataincluding:(1)Losslessspatio-temporaldataencodingandindexingschemesallowingforinteractivevisualizationoftime-varyingdataatarbitraryspatialandtemporalscales.(2)Cohere
5、ncebasedacceleratedvisulaizationalgorithms(3)Time-varyingfeatureenhancementandtrackingalgorithms.Ourgoalistominimizevisualizationcomputationcost,tominimizedatatransfer(networktransmitanddiskI/O)cost,tomaximizetheuser’sabilitytointerrogatetime-varyingdataindi?erentspatialandte
6、mporalscales,andtodetectandtrackimportanttime-varyingfeatures.1.IntroductionTherapidadvanceofcomputerhardwareandsoftwarehasmadeitpossibleforscientiststosigni?cantlyincreasethescaleandaccuracyoftheirsimulationmodelstosolvepreviouslyunsolvableproblems.Variouscomputationalscienc
7、eandengineeringapplicationsshareacommonthemeinthattheyallproducealargeamountofnumericaloutput.Togleaninsightsintothedata,Scienti?cVisualizationhasbecomeakeyenablingtechnologyforscienti?cdiscoverythroughadvancedcomputing.Thee?ciencyofscienti?cvisualizationliesprimarilyonitsabi
8、lityinpresentinginformationconcisely,andallowingtheusertohavedirecti
