A highly parallel multigrid-like method for the solution of Partial Differential Equation. This paper, we focuses on three
major parallel techniques: domain
decomposition, Full Multigrid and preconditioner Multigrid method using F, V, W cycle. Based on some parallel techniques, these methods are straight minimizing the execution time, computational complexity, communication cost, waiting and idle time. The PVM library is implemented in order to exchange the data among processors on a distributer parallel computer systems. The solver
algorithms are developed for three-dimensional PDE problem and validated with the available experimental data. Some sequential and parallel performance measurements under consideration are speedup, efficiency, effectiveness, temporal performance, accuracy, convergence and communication cost.
A highly parallel multigrid-like method for the solution of Partial Differential Equation. This paper, we focuses on three major parallel techniques: domain decomposition, Full Multigrid and preconditioner Multigrid method using F, V, W cycle. Based on some parallel techniques, these methods are straight minimizing the execution time, computational complexity, communication cost, waiting and idle time. The PVM library is implemented in order to exchange the data among processors on a distributer parallel computer systems. The solver algorithms are developed for three-dimensional PDE problem and validated with the available experimental data. Some sequential and parallel performance measurements under consideration are speedup, efficiency, effectiveness, temporal performance, accuracy, convergence and communication cost.