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Vertex Separators for Partitioning a Graph
Finite Element Method (FEM) is a well known technique extensively studied for spatial and temporal modeling of environmental processes, weather prediction computations, and intelligent signal processing for wireless sensors. The need for huge computational power arising in such applications to simul...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Molecular Diversity Preservation International (MDPI)
2008
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3927507/ https://www.ncbi.nlm.nih.gov/pubmed/27879727 |
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author | Evrendilek, Cem |
author_facet | Evrendilek, Cem |
author_sort | Evrendilek, Cem |
collection | PubMed |
description | Finite Element Method (FEM) is a well known technique extensively studied for spatial and temporal modeling of environmental processes, weather prediction computations, and intelligent signal processing for wireless sensors. The need for huge computational power arising in such applications to simulate physical phenomenon correctly mandates the use of massively parallel computers to distribute the workload evenly. In this study, a novel heuristic algorithm called Line Graph Bisection which partitions a graph via vertex separators so as to balance the workload amongst the processors and to minimize the communication overhead is proposed. The proposed algorithm is proved to be computationally feasible and makes cost-effective parallel implementations possible to speed up the solution process. |
format | Online Article Text |
id | pubmed-3927507 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-39275072014-02-18 Vertex Separators for Partitioning a Graph Evrendilek, Cem Sensors (Basel) Full Research Paper Finite Element Method (FEM) is a well known technique extensively studied for spatial and temporal modeling of environmental processes, weather prediction computations, and intelligent signal processing for wireless sensors. The need for huge computational power arising in such applications to simulate physical phenomenon correctly mandates the use of massively parallel computers to distribute the workload evenly. In this study, a novel heuristic algorithm called Line Graph Bisection which partitions a graph via vertex separators so as to balance the workload amongst the processors and to minimize the communication overhead is proposed. The proposed algorithm is proved to be computationally feasible and makes cost-effective parallel implementations possible to speed up the solution process. Molecular Diversity Preservation International (MDPI) 2008-02-04 /pmc/articles/PMC3927507/ /pubmed/27879727 Text en © 2008 by MDPI Reproduction is permitted for noncommercial purposes. |
spellingShingle | Full Research Paper Evrendilek, Cem Vertex Separators for Partitioning a Graph |
title | Vertex Separators for Partitioning a Graph |
title_full | Vertex Separators for Partitioning a Graph |
title_fullStr | Vertex Separators for Partitioning a Graph |
title_full_unstemmed | Vertex Separators for Partitioning a Graph |
title_short | Vertex Separators for Partitioning a Graph |
title_sort | vertex separators for partitioning a graph |
topic | Full Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3927507/ https://www.ncbi.nlm.nih.gov/pubmed/27879727 |
work_keys_str_mv | AT evrendilekcem vertexseparatorsforpartitioningagraph |