Parallel Adaptive Multilevel Methods with Full Domain Partitions

Abstract

Adaptive multilevel methods are methods for solving partial differential equations that combine adaptive grid refinement with multigrid solution techniques. These methods have been shown to be very effective on sequential computers. Recently, a technique for parallelizing these methods for cluster computers has been developed. This paper presents an overview of a particular adaptive multilevel method and the parallelization of that method via the full domain partition. (© 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)