Hypercube Algorithms And Implementations

Cover Hypercube Algorithms And Implementations
Hypercube Algorithms And Implementations
Oliver a Mcbryan
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PARALLEL MULTIGRID We have developed a parallel multigrid algorithm and tested it on both the Caltech and Intel Hypercubes. Multigrid Methods are near-optimal for a wide range of computations on serial or vector processors. Our test problem was a Poisson equation with Dirichlet boundary conditions on a square, discretized with a 5-point finite difference operator, but the implementation is considerably more general. A multigrid algorithm for the Poisson equation in 3 dimensions on the Caltech H...ypercube has been developed independently by Qemens Thole-^"* The basic multigrid idea23. 25, 26, 27 involves two aspects - the use of relaxation methods to dampen high-frequency errors and the use of multiple grids to allow low-frequencies to be relaxed inexpensively. A simple Two- grid Iteration involves a number of relaxations on a fine grid to reduce high- frequency errors in an initial guess of the solution, a projection of remaining errors to a coarser grid where they are solved for exactly, and then an inter- polation back to the fine grid and addition to the solution there.

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