In this paper, a parallel implementation of the Iterative Alternating Direction Explicit method by D'Yakonov (IADE-DY) to solve 2-D telegraphic problem on a distributed system using Message Passing Interface (MPI) and Parallel Virtue Machine (PVM) are presented. The parallelization of the program is implemented by a domain decomposition strategy. A Single Program Multiple Data (SPMD) model is employed for the implementation. The implementation is discussed in relation to means of the parallel performance strategies and analysis. The model enhances overlap communication and computation to avoid unnecessary synchronization, hence, the method yields significant speedup. The level of speedup observed from tables as the mesh increases are in the range of 5-10%. Improvement has been achieved by numbers of tables and figures in our experiment. We present some analyses that are helpful for speedup and efficiency. It is concluded that the efficiency is strongly dependent on the grid size, block numbers and the number of processors for both MPI and PVM. Different strategies to improve the computational efficiency are proposed.
A parallel implementation of 3-D Alternating Direction Implicit (3-D ADI) method on 3-D Telegraph problem on a distributed computing environment through Parallel Virtual Machine (PVM) is reported. The numerical method is implicit and is based on a splitting strategy which is applied alternately at each half time step. The parallelization is implemented by a Domain Decomposition (DD) strategy on a distributed system with Single Program Multiple Data (SPMD) model on a PVM platform. The parallelization strategy and performance are discussed. Different strategies to improve the computational efficiency are proposed.
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