S.N. Gupta, M. Zubair and C.E. Grosch. . J. of Scientific Commput., 7:263--279, 1992.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....in x . In section x5 we present some experimental results on the KSR1. Finally we conclude in x6 with further extension and research directions. 2 Clive s Section The Multigrid Solver has received much attention due to it s importance and the challlenge of parallelizing the algorithm MG [5] [22] [6] 9] The basic idea of the Multigrid method is to obtain a initial approximation for a given grid by first solving on a coarser grid. Since the coarser grid is simple to compute, we can use a iterative method such as the Gauss Seidel method to get an approximation solution on the coarse grid ....

S.N. Gupta, M. Zubair and C.E. Grosch. . J. of Scientific Commput., 7:263--279, 1992.

....Storage (FAS) version of the multigrid algorithm. We employ grid coarsening only in the horizontal directions, using line Gauss Seidel relaxation in the vertical. The Multigrid technique has received much attention due to it s importance and the challenge of parallelizing the algorithm MG [4] [16] [6] 8] Multigrid algorithms are used to accelerate the convergence of relaxation methods like Gauss Seidel for the numerical solution of partial differential equations. They achieve this by using a hierarchy of coarser grids with larger spacings to provide corrections to the approximate ....

S.N. Gupta, M. Zubair and C.E. Grosch. . J. of Scientific Commput., 7:263--279, 1992.

....shown earlier in Figure 1, with additional interaction between the two tasks. The combined data and task parallelism provides many opportunities for improving performance. The multigrid method has received much attention due to its fast convergence and the challenge of parallelizing the algorithm [6, 30, 8, 13]. The basic idea of the multigrid method is to obtain an initial approximation for a given grid by first solving on a coarser grid. Since the coarser grid is simple to compute, we can use a iterative method such as the Gauss Seidel method to get an approximation solution on the coarse grid and ....

S.N. Gupta, M. Zubair and C.E. Grosch. . J. of Scientific Commput., 7:263--279, 1992.

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