The Parallel Architecture Approach, Single Program Multiple Data (Spmd) Implementation on Clusters of Terminals Using Java Rmi

The Complexity Of Computation Computer Power Is Unexpectedly Increasing Day By Day. Today's Hight Level Computer And Its High Level Utility Is Already Effected Each And Every Part Of Of Our Real Life. We All Know That Computer Power Is Effected From Astrophysics To Rural Areas And It Covers All Internal Subareas Of Each And Every Organization Either It Is A Related National Level Government Project Or International Level Projects. Many Scientific, Economic, And Research Areas Need A Specific Power To Solve Their Unsolved, Large And Complex Problems, But Maximum Solution Are Highly Economic Effective And Expensive. The Numeric Simulation Of Complex Systems Like Molecular Biology , Weather Forecast, Climate Modeling, Circuit Design, Biometric , Re-Engineering, Recycling Engineering And Many More Are Some Of Such Problems. There Are Many Approaches To Solve Them. But Tow Major Effective Solutions Are Either An Expensive Parallel Supercomputer Has To Be Used [First], Or The Computer Power Of Workstations In A Net Can Be Bundle To Computer The Task Distributed [Second]. The Second Approach Has The Advantage That We Use The Available Hardware Cost-Effective. This Paper Describes The Architecture Of A Heterogeneous, Concurrent, And Distributed System, Which Can Be Used For Solving Large Computational Problems. Here We Present The Basic Solution By Single Program Stream And Multiple Data Stream(SPMD) Architecture For Solving Large Complex Problem. We Present A Concurrent Tasks Distributed Application For Solving Complex Computational Tasks In Parallel. The Design Process Is Parallel Processing Implementation On Clusters Of Terminals Using Java RMI.