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1、201342ndInternationalConferenceonParallelProcessingCharacterizationofInput/OutputBandwidthPerformanceModelsinNUMAArchitectureforDataIntensiveApplicationsTanLi,YufeiRen,DantongYu*,ShudongJin,ThomasRobertazziDepartmentofElectricalandComputerEngineering,StonyBr
2、ookUniversity,StonyBrook,NY,11794,USAEmail:tan.li@stonybrook.edu,yufei.ren@stonybrook.edu,shudong.jin@stonybrook.edu,thomas.robertazzi@stonybrook.edu*ComputationalScienceCenter,BrookhavenNationalLaboratory,Upton,NY11973,USAEmail:dtyu@bnl.govTABLEIAbstractDat
3、a-intensiveapplicationsfrequentlyrelyonmul-NUMAFACTOROFDIFFERENTSERVERCONFIGURATIONSticorecomputersystems,inwhichNon-UniformMemoryAccess(NUMA)isadominantarchitecture.TotransferdataintoandoutServertypeNUMAfactorfromthesehigh-performancecomputersbecomesabottle
4、neck,Intel4sockets/4nodes1.5andthusitiscrucialtounderstandtheirI/OperformanceAMD4sockets/8nodes2.7characteristics.However,thecomplexityinNUMAarchitectureAMD8sockets/8nodes2.8presentsanewchallengeinmodelingitsI/Oaccesscost,andthusHPbladesystem32nodes5.5leadto
5、difficultiesinconfiguringproperprocessorandmemoryaffinity.Inthispaper,weshowthatexistingNUMAexperimentalmethodsandmetricsareinappropriateoncontemporaryhigh-endsystems.Wecharacterizeastate-of-the-artNUMAhost,andpropose,tothebestofourknowledge,thefirstmethodologyo
6、ryisnottheonlyresourceaffectedbytheasymmetrictosimulateI/Ooperationsusingmemorysemantics,andmodelnatureofaNUMAarchitecture.PreviousstudiesexposedtheI/Obandwidthperformance.OurmethodologyisthoroughlytestedandvalidatedbymappingmultipleparallelI/Ostreamstoasign
7、ificantI/Operformancevariationinbothlatencyanddifferentsetsofhardwarecomponents(CPU,memory,networkbandwidth.WhenanI/Oaccessisremote,latencyincreasescards,andSSDs)andbymeasuringtheperformanceofeachandmaximumbandwidthusuallydecreasesfordatatransfer.mapping.Thee
8、xperimentalresultsandanalysisrevealthatourForexample,oneresearch[3]benchmarkedTCPperformancemethodologycandramaticallyreducecharacterizationworkload,ontwodifferentNUMAtestbeds.Theirmeasurementsh
