Leong, Monk-PingMonk-PingLeongCheung, Chi-ChiuChi-ChiuCheungCheung, Chin-WangChin-WangCheungWan, Polly P.M.Polly P.M.WanLeung, Ivan K.H.Ivan K.H.LeungYeung, Winnie M.M.Winnie M.M.YeungYuen, Wing-SeungWing-SeungYuenChow, Kenneth S.K.Kenneth S.K.ChowProf. LEUNG Kwong SakLeong, Philip H.W.Philip H.W.Leong2023-03-272023-03-272005Computer, 2005, Vol. 38 (10), pp. 70 - 7700189162http://hdl.handle.net/20.500.11861/7599To effectively utilize parallel computing, developers need software that reduces the complexity of the process as well as tools to support integration of parallel and desktop machines. The Clustertech parallel environement (CPE) is a C++ library that facilitates of large-scale parallel applications. This environment offers unprecedented efficiency in developing applications and porting them to a wide range of parallel-cluster and symmetric-multiprocessing machines. CPE's object-oriented apprach facilitates information as well as code reuse. © 2005 IEEE.enFinancial ApplicationsMonte Carlo SimulationDifferential EquationsParallelizationPartial Differential EquationsExcel SpreadsheetFinite Difference MethodDistribution GridUser NeedParallel MachinesRange of ClustersMessage Passing InterfaceParallel ApplicationsDifferential Equation SolverCreation of ObjectsDesktop MachineTime StepStart-UpGrid PointsSequence of PointsStochastic Differential EquationsParallel SimulatorLattice PointsProgram UsersTermination CriterionDomain DecompositionParallel ExecutionRemote MethodsObjective DataPeer Reviewed Journal Article10.1109/MC.2005.337