Adaptive Multiresolution Methods: Practical issues on Data Structures, Implementation and Parallelization*

The concept of fully adaptive multiresolution finite volume schemes has been developed and investigated during the past decade. Here grid adaptation is realized by performing a multiscale decomposition of the discrete data at hand. By means of hard thresholding the resulting multiscale data are comp...

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Main Authors: Bachmann M., Müller S., Melian S., Brix K.
Format: Article
Language:English
Published: EDP Sciences 2011-12-01
Series:ESAIM: Proceedings and Surveys
Online Access:http://dx.doi.org/10.1051/proc/201134003
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spelling doaj-bba91170a3964404b7b65f5c1209b7a22021-08-02T09:48:36ZengEDP SciencesESAIM: Proceedings and Surveys1270-900X2011-12-013415118310.1051/proc/201134003Adaptive Multiresolution Methods: Practical issues on Data Structures, Implementation and Parallelization* Bachmann M.Müller S.Melian S.Brix K.The concept of fully adaptive multiresolution finite volume schemes has been developed and investigated during the past decade. Here grid adaptation is realized by performing a multiscale decomposition of the discrete data at hand. By means of hard thresholding the resulting multiscale data are compressed. From the remaining data a locally refined grid is constructed. The aim of the present work is to give a self-contained overview on the construction of an appropriate multiresolution analysis using biorthogonal wavelets, its efficient realization by means of hash maps using global cell identifiers and the parallelization of the multiresolution-based grid adaptation via MPI using space-filling curves. <br> Le concept des schémas de volumes finis multi-échelles et adaptatifs a été développé et etudié pendant les dix dernières années. Ici le maillage adaptatif est réalisé en effectuant une décomposition multi-échelle des données discrètes proches. En les tronquant à l’aide d’une valeur seuil fixée, les données multi-échelles obtenues sont compressées. A partir de celles-ci, le maillage est raffiné localement. Le but de ce travail est de donner un aperçu concis de la construction d’une analyse appropriée de multiresolution utilisant les fonctions ondelettes biorthogonales, de son efficacité d’application en terme de tables de hachage en utilisant des identification globales de cellule et de la parallélisation du maillage adaptatif multirésolution via MPI à l’aide des courbes remplissantes. http://dx.doi.org/10.1051/proc/201134003
collection DOAJ
language English
format Article
sources DOAJ
author Bachmann M.
Müller S.
Melian S.
Brix K.
spellingShingle Bachmann M.
Müller S.
Melian S.
Brix K.
Adaptive Multiresolution Methods: Practical issues on Data Structures, Implementation and Parallelization*
ESAIM: Proceedings and Surveys
author_facet Bachmann M.
Müller S.
Melian S.
Brix K.
author_sort Bachmann M.
title Adaptive Multiresolution Methods: Practical issues on Data Structures, Implementation and Parallelization*
title_short Adaptive Multiresolution Methods: Practical issues on Data Structures, Implementation and Parallelization*
title_full Adaptive Multiresolution Methods: Practical issues on Data Structures, Implementation and Parallelization*
title_fullStr Adaptive Multiresolution Methods: Practical issues on Data Structures, Implementation and Parallelization*
title_full_unstemmed Adaptive Multiresolution Methods: Practical issues on Data Structures, Implementation and Parallelization*
title_sort adaptive multiresolution methods: practical issues on data structures, implementation and parallelization*
publisher EDP Sciences
series ESAIM: Proceedings and Surveys
issn 1270-900X
publishDate 2011-12-01
description The concept of fully adaptive multiresolution finite volume schemes has been developed and investigated during the past decade. Here grid adaptation is realized by performing a multiscale decomposition of the discrete data at hand. By means of hard thresholding the resulting multiscale data are compressed. From the remaining data a locally refined grid is constructed. The aim of the present work is to give a self-contained overview on the construction of an appropriate multiresolution analysis using biorthogonal wavelets, its efficient realization by means of hash maps using global cell identifiers and the parallelization of the multiresolution-based grid adaptation via MPI using space-filling curves. <br> Le concept des schémas de volumes finis multi-échelles et adaptatifs a été développé et etudié pendant les dix dernières années. Ici le maillage adaptatif est réalisé en effectuant une décomposition multi-échelle des données discrètes proches. En les tronquant à l’aide d’une valeur seuil fixée, les données multi-échelles obtenues sont compressées. A partir de celles-ci, le maillage est raffiné localement. Le but de ce travail est de donner un aperçu concis de la construction d’une analyse appropriée de multiresolution utilisant les fonctions ondelettes biorthogonales, de son efficacité d’application en terme de tables de hachage en utilisant des identification globales de cellule et de la parallélisation du maillage adaptatif multirésolution via MPI à l’aide des courbes remplissantes.
url http://dx.doi.org/10.1051/proc/201134003
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AT mullers adaptivemultiresolutionmethodspracticalissuesondatastructuresimplementationandparallelization
AT melians adaptivemultiresolutionmethodspracticalissuesondatastructuresimplementationandparallelization
AT brixk adaptivemultiresolutionmethodspracticalissuesondatastructuresimplementationandparallelization
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