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The Refinement-Tree Partition for Parallel Solution of Partial Differential Equations
Dynamic load balancing is considered in the context of adaptive multilevel methods for partial differential equations on distributed memory multiprocessors. An approach that periodically repartitions the grid is taken. The important properties of a partitioning algorithm are presented and discussed...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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[Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology
1998
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4887201/ https://www.ncbi.nlm.nih.gov/pubmed/28009355 http://dx.doi.org/10.6028/jres.103.024 |
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author | Mitchell, William F. |
author_facet | Mitchell, William F. |
author_sort | Mitchell, William F. |
collection | PubMed |
description | Dynamic load balancing is considered in the context of adaptive multilevel methods for partial differential equations on distributed memory multiprocessors. An approach that periodically repartitions the grid is taken. The important properties of a partitioning algorithm are presented and discussed in this context. A partitioning algorithm based on the refinement tree of the adaptive grid is presented and analyzed in terms of these properties. Theoretical and numerical results are given. |
format | Online Article Text |
id | pubmed-4887201 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 1998 |
publisher | [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology |
record_format | MEDLINE/PubMed |
spelling | pubmed-48872012016-12-22 The Refinement-Tree Partition for Parallel Solution of Partial Differential Equations Mitchell, William F. J Res Natl Inst Stand Technol Article Dynamic load balancing is considered in the context of adaptive multilevel methods for partial differential equations on distributed memory multiprocessors. An approach that periodically repartitions the grid is taken. The important properties of a partitioning algorithm are presented and discussed in this context. A partitioning algorithm based on the refinement tree of the adaptive grid is presented and analyzed in terms of these properties. Theoretical and numerical results are given. [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology 1998 1998-08-01 /pmc/articles/PMC4887201/ /pubmed/28009355 http://dx.doi.org/10.6028/jres.103.024 Text en https://creativecommons.org/publicdomain/zero/1.0/ The Journal of Research of the National Institute of Standards and Technology is a publication of the U.S. Government. The papers are in the public domain and are not subject to copyright in the United States. Articles from J Res may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright. |
spellingShingle | Article Mitchell, William F. The Refinement-Tree Partition for Parallel Solution of Partial Differential Equations |
title | The Refinement-Tree Partition for Parallel Solution of Partial Differential Equations |
title_full | The Refinement-Tree Partition for Parallel Solution of Partial Differential Equations |
title_fullStr | The Refinement-Tree Partition for Parallel Solution of Partial Differential Equations |
title_full_unstemmed | The Refinement-Tree Partition for Parallel Solution of Partial Differential Equations |
title_short | The Refinement-Tree Partition for Parallel Solution of Partial Differential Equations |
title_sort | refinement-tree partition for parallel solution of partial differential equations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4887201/ https://www.ncbi.nlm.nih.gov/pubmed/28009355 http://dx.doi.org/10.6028/jres.103.024 |
work_keys_str_mv | AT mitchellwilliamf therefinementtreepartitionforparallelsolutionofpartialdifferentialequations AT mitchellwilliamf refinementtreepartitionforparallelsolutionofpartialdifferentialequations |