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Parallelizing a highly vectorized multigrid code with zebra relaxation

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1 Author(s)
W. M. Lioen ; CWI, Amsterdam, Netherlands

After a brief introduction to multigrid methods, the author discusses some of the algorithmic choices in MGZEB, a parallelized highly vectorized multigrid code for the solution of linear systems resulting from the seven-point discretization of general linear second-order elliptic partial differential equations in two dimensions. He describes the minimization of the scalar operation count, the vector tuning on a vector-register machine, and the parallelization of the already existing highly vectorized MGZEB code. At present the same algorithm would be used with the same scalar operation count on a scalar uniprocessor. The overall parallel vector-performance using autotasking on a Cray Y-MP4/464 is discussed

Published in:

Supercomputing '92., Proceedings

Date of Conference:

16-20 Nov 1992