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1、基于数据分组方法的数据仓库并行预计算和查询（四）论文第七章实验在本章中通过实验说明算法的有效性和可扩展性。实验的平台是一台有三个计算节点的刀片服务器，每个节点上的处理器主频为1.8GHz，内存容量为1GB，操作系统是Linux，内核版本2.6.9，节点间采用千兆网络连接。MPI运行环境为MPICH2.0，C++编译器g++版本为3.4.3，MPI环境下C++编译器MPICXX的版本为1.0.3。7.1数据描述在实验中.freeli-ClosedCubeL.Venkatrao,F.Pelloa,A.Gupta,G.Karypis,V.Kumar.Intro
2、ductiontoParallelputing(SecondEdition).PearsonEducation,2003.张武,毛国勇,程海英等译.《并行计算导论》.北京,机械工业出版社,2005Hahn94C.Hahnet.al.Editedsynopticcloudreportsfromshipsandlandstationsovertheglobe,1982-1991.cdiac.est.ornl.gov/ftp/ndp026b/SEP85L.Z,1994.HPF06HighPerformanceFortranForumInm0207LAM-MPI
3、ParallelputingLPH02L.Lakshmanan,J.PeiandJ.Han.QuotientCube:HomarizetheSemanticsofaDataCube.InVLDB’02LPZ03L.Lakshmanan,J.PeiandY.Zhao.QC-Trees:AnEfficientSummaryStructureforSemanticOLAP.InProceedingsofthe2003ACMSIGMODInternationalConferenceonManagementofData,ACM,2003LPI03aMPI:AMes
4、sage-PassingInterfaceStandard.MPI03bMPI-2:ExtensionstotheMessage-PassingInterface.MPI07MPICH2homepageOMP07OpenMP:Simple,Portable,ScalableSMPProgrammingPTP06POSIXThreadProgrammingPVM07ParallelVirtualMachine,2002ST98D.SkillicornandD.Talia.ModelsandLanguagesforParallelputation.ACMpu
5、tingSurveys,30(2):123-169,1998L06张林波,迟学斌,莫则尧,李若.《并行计算导论》.北京,清华大学出版社,2006附录时间(秒)维度,,串行并行45.184.9856.946.6867.507.3678.558.2889.088.9899.839.761010.5810.541111.2911.321212.0212.081312.7512.781413.4713.701514.2614.491614.9615.31表1数据文件读取时间时间(秒)维度串行并行进程0并行进程1并行进程2并行平均428.929.9510.299.
6、589.94584.4029.0430.0928.2429.12684.7029.1330.1028.4229.22787.7830.2331.2329.4030.29892.4131.8132.9131.0731.939100.9834.6935.7433.8434.7610114.4839.2440.1938.1139.1811139.9245.9349.3344.8846.6712180.6557.7761.9456.2658.7313244.2678.1778.2574.7877.0714332.70104.71103.7298.87102.43
7、15431.87132.03130.22126.22129.4916576.41173.32170.31164.59169.41表2预计算时间时间(秒)维度串行并行进程0并行进程1并行进程2并行完成434.1016.1014.7415.7216.10591.3436.8435.5836.0236.84692.2038.5837.0537.8638.58796.3340.6938.8639.8640.698107.4942.1540.241.4142.159110.8146.0143.7445.1546.0110125.0651.2648.6550.135
8、1.2611151.2160.0956.8658.3760.0912192.67
