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pdf:docinfo:title: A parallel algebraic multigrid solver for finite element method based source localization in the human brain
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subject: Time plays an important role in medical and neuropsychological diagnosis and research. In the field of Electro- and MagnetoEncephaloGraphy (EEG/MEG) source localization, a current distribution in the human brain is reconstructed noninvasively by means of measured fields outside the head. High resolution finite element modeling for the field computation leads to a sparse, large scale, linear equation system with many different right hand sides to be solved. The presented solution process is based on a parallel algebraic multigrid method. It is shown that very short computation times can be achieved through the combination of the multigrid technique and the parallelization on distributed memory computers. A solver time comparison to a classical parallel Jacobi preconditioned conjugate gradient method is given.
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dc:title: A parallel algebraic multigrid solver for finite element method based source localization in the human brain
bibtex/file: Wolters_CompVisSci_preprint_2002.pdf:Wolters_CompVisSci_preprint_2002.pdf:PDF
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cp:subject: Time plays an important role in medical and neuropsychological diagnosis and research. In the field of Electro- and MagnetoEncephaloGraphy (EEG/MEG) source localization, a current distribution in the human brain is reconstructed noninvasively by means of measured fields outside the head. High resolution finite element modeling for the field computation leads to a sparse, large scale, linear equation system with many different right hand sides to be solved. The presented solution process is based on a parallel algebraic multigrid method. It is shown that very short computation times can be achieved through the combination of the multigrid technique and the parallelization on distributed memory computers. A solver time comparison to a classical parallel Jacobi preconditioned conjugate gradient method is given.
pdf:docinfo:subject: Time plays an important role in medical and neuropsychological diagnosis and research. In the field of Electro- and MagnetoEncephaloGraphy (EEG/MEG) source localization, a current distribution in the human brain is reconstructed noninvasively by means of measured fields outside the head. High resolution finite element modeling for the field computation leads to a sparse, large scale, linear equation system with many different right hand sides to be solved. The presented solution process is based on a parallel algebraic multigrid method. It is shown that very short computation times can be achieved through the combination of the multigrid technique and the parallelization on distributed memory computers. A solver time comparison to a classical parallel Jacobi preconditioned conjugate gradient method is given.
pdf:docinfo:creator: Wolters, CH and Kuhn, M and Anwander, A and Reitzinger, S.
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Author: CH Wolters
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dc:description: Time plays an important role in medical and neuropsychological diagnosis and research. In the field of Electro- and MagnetoEncephaloGraphy (EEG/MEG) source localization, a current distribution in the human brain is reconstructed noninvasively by means of measured fields outside the head. High resolution finite element modeling for the field computation leads to a sparse, large scale, linear equation system with many different right hand sides to be solved. The presented solution process is based on a parallel algebraic multigrid method. It is shown that very short computation times can be achieved through the combination of the multigrid technique and the parallelization on distributed memory computers. A solver time comparison to a classical parallel Jacobi preconditioned conjugate gradient method is given.
Keywords: EEG MEG Source localization in the human brain; Algebraic multigrid; Parallel iterative solvers; Finite Element Method
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dc:creator: CH Wolters
description: Time plays an important role in medical and neuropsychological diagnosis and research. In the field of Electro- and MagnetoEncephaloGraphy (EEG/MEG) source localization, a current distribution in the human brain is reconstructed noninvasively by means of measured fields outside the head. High resolution finite element modeling for the field computation leads to a sparse, large scale, linear equation system with many different right hand sides to be solved. The presented solution process is based on a parallel algebraic multigrid method. It is shown that very short computation times can be achieved through the combination of the multigrid technique and the parallelization on distributed memory computers. A solver time comparison to a classical parallel Jacobi preconditioned conjugate gradient method is given.
dcterms:created: 2006-05-12T16:50:01Z
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title: A parallel algebraic multigrid solver for finite element method based source localization in the human brain
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pdf:docinfo:keywords: EEG MEG Source localization in the human brain; Algebraic multigrid; Parallel iterative solvers; Finite Element Method
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creator: CH Wolters
dc:subject: EEG MEG Source localization in the human brain; Algebraic multigrid; Parallel iterative solvers; Finite Element Method
bibtex/journal: Comp Vis Sci
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meta:keyword: EEG MEG Source localization in the human brain; Algebraic multigrid; Parallel iterative solvers; Finite Element Method
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