Abstract: The suitability and relationship between complexity and efficiency of multiple parallel computation have been intensively studied by using the parallelized version of the limited-area fine-mesh grid-point model. The preliminary study indicates that, with suitable algorithm, the speedup can be improved by increasing the number of CPU (the number of transputers) in general. And, the efficiency of parallel may decrease with the CPUs, and increase with higher complexity. The results suggest that massively or highly parallel computer systems are most privileged for solving computationally intensive problem. In the light of its scalability the system which has the unlimited potential to provide much faster and more powerful computer resources required for further development of NWP and numerical modeling.