Multiple Instruction Multiple Data (MIMD) Implementation on Clusters of Terminals

Today's life style is totally infatuated with computer and technical world and we all are also the part of the crowd. Many scientific and economic fields need a large computer power for their solution, but maximum solution are highly economic effective and expensive. The numeric simulation of complex systems like weather forecast, climate modeling, molecular biology and circuit design are some of such problem. There are two approaches to solve them. 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 Multiple instruction stream and multiple data stream (MIMD) 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 process