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Multi-preconditioned domain decomposition methods in the krylov subspaces. / Ilin, Valery P.

Numerical Analysis and Its Applications - 6th International Conference, NAA 2016, Revised Selected Papers. ed. / Dimov; Farago; L Vulkov. Springer-Verlag GmbH and Co. KG, 2017. p. 95-106 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10187 LNCS).

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Harvard

Ilin, VP 2017, Multi-preconditioned domain decomposition methods in the krylov subspaces. in Dimov, Farago & L Vulkov (eds), Numerical Analysis and Its Applications - 6th International Conference, NAA 2016, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10187 LNCS, Springer-Verlag GmbH and Co. KG, pp. 95-106, 6th International Conference on Numerical Analysis and Its Applications, NAA 2016, Lozenetz, Bulgaria, 14.06.2016. https://doi.org/10.1007/978-3-319-57099-0_9

APA

Ilin, V. P. (2017). Multi-preconditioned domain decomposition methods in the krylov subspaces. In Dimov, Farago, & L. Vulkov (Eds.), Numerical Analysis and Its Applications - 6th International Conference, NAA 2016, Revised Selected Papers (pp. 95-106). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10187 LNCS). Springer-Verlag GmbH and Co. KG. https://doi.org/10.1007/978-3-319-57099-0_9

Vancouver

Ilin VP. Multi-preconditioned domain decomposition methods in the krylov subspaces. In Dimov, Farago, Vulkov L, editors, Numerical Analysis and Its Applications - 6th International Conference, NAA 2016, Revised Selected Papers. Springer-Verlag GmbH and Co. KG. 2017. p. 95-106. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-57099-0_9

Author

Ilin, Valery P. / Multi-preconditioned domain decomposition methods in the krylov subspaces. Numerical Analysis and Its Applications - 6th International Conference, NAA 2016, Revised Selected Papers. editor / Dimov ; Farago ; L Vulkov. Springer-Verlag GmbH and Co. KG, 2017. pp. 95-106 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

BibTeX

@inproceedings{dd3e1f3096a94dd480db9e984621caca,
title = "Multi-preconditioned domain decomposition methods in the krylov subspaces",
abstract = "We consider the algebraic and geometric issues of the advanced parallel domain decomposition methods (DDMs) for solving very large non-symmetric systems of linear algebraic equations (SLAEs) that arise in the finite volume or the finite element approximation of the multi-dimensional boundary value problems on the non-structured grids. The main approaches in question for DDM include the balancing decomposition of the grid computational domain into parameterized overlapping or non-overlapping subdomains with different interface conditions on the internal boundaries. Also, we use two different sructures of the contacting the neigbour grid subdomains: with definition or without definition of the node dividers (separators) as the special grid subdomain. The proposed Schwarz parallel additive algorithms are based on the “total-flexible” multi-preconditioned semi-conjugate direction methods in the Krylov block subspaces. The acceleration of two-level iterative processes is provided by means of aggregation, or coarse grid correction, with different orders of basic functions, which realize a low - rank approximation of the original matrix. The auxiliary subsystems in subdomains are solved by direct or by the Krylov iterative methods. The parallel implementation of algorithms is based on hybrid programming with MPI-processes and multi-thread computing for the upper and the low levels of iterations, respectively. We describe some characteristic features of the computational technologies of DDMs that are realized within the framework of the library KRYLOV in the Institute of Computational Mathematics and Mathematical Geophysics, SB RAS, Novosibirsk. The technical requirements for this code are based on the absence of the program constraints on the degree of freedom and on the number of processor units. The conceptions of the creating the unified numerical envirement for DDMs are presented and discussed.",
keywords = "Coarse grid corection, Domain decomposition, Hierarchical memory, Hybrid programming, Krylov subspaces, Multi-dimensional boundary value problems, Multi-preconditioning, Scalable parallelism, SCHWARZ",
author = "Ilin, {Valery P.}",
year = "2017",
month = jan,
day = "1",
doi = "10.1007/978-3-319-57099-0_9",
language = "English",
isbn = "9783319570983",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag GmbH and Co. KG",
pages = "95--106",
editor = "Dimov and Farago and L Vulkov",
booktitle = "Numerical Analysis and Its Applications - 6th International Conference, NAA 2016, Revised Selected Papers",
address = "Germany",
note = "6th International Conference on Numerical Analysis and Its Applications, NAA 2016 ; Conference date: 14-06-2016 Through 21-06-2016",

}

RIS

TY - GEN

T1 - Multi-preconditioned domain decomposition methods in the krylov subspaces

AU - Ilin, Valery P.

PY - 2017/1/1

Y1 - 2017/1/1

N2 - We consider the algebraic and geometric issues of the advanced parallel domain decomposition methods (DDMs) for solving very large non-symmetric systems of linear algebraic equations (SLAEs) that arise in the finite volume or the finite element approximation of the multi-dimensional boundary value problems on the non-structured grids. The main approaches in question for DDM include the balancing decomposition of the grid computational domain into parameterized overlapping or non-overlapping subdomains with different interface conditions on the internal boundaries. Also, we use two different sructures of the contacting the neigbour grid subdomains: with definition or without definition of the node dividers (separators) as the special grid subdomain. The proposed Schwarz parallel additive algorithms are based on the “total-flexible” multi-preconditioned semi-conjugate direction methods in the Krylov block subspaces. The acceleration of two-level iterative processes is provided by means of aggregation, or coarse grid correction, with different orders of basic functions, which realize a low - rank approximation of the original matrix. The auxiliary subsystems in subdomains are solved by direct or by the Krylov iterative methods. The parallel implementation of algorithms is based on hybrid programming with MPI-processes and multi-thread computing for the upper and the low levels of iterations, respectively. We describe some characteristic features of the computational technologies of DDMs that are realized within the framework of the library KRYLOV in the Institute of Computational Mathematics and Mathematical Geophysics, SB RAS, Novosibirsk. The technical requirements for this code are based on the absence of the program constraints on the degree of freedom and on the number of processor units. The conceptions of the creating the unified numerical envirement for DDMs are presented and discussed.

AB - We consider the algebraic and geometric issues of the advanced parallel domain decomposition methods (DDMs) for solving very large non-symmetric systems of linear algebraic equations (SLAEs) that arise in the finite volume or the finite element approximation of the multi-dimensional boundary value problems on the non-structured grids. The main approaches in question for DDM include the balancing decomposition of the grid computational domain into parameterized overlapping or non-overlapping subdomains with different interface conditions on the internal boundaries. Also, we use two different sructures of the contacting the neigbour grid subdomains: with definition or without definition of the node dividers (separators) as the special grid subdomain. The proposed Schwarz parallel additive algorithms are based on the “total-flexible” multi-preconditioned semi-conjugate direction methods in the Krylov block subspaces. The acceleration of two-level iterative processes is provided by means of aggregation, or coarse grid correction, with different orders of basic functions, which realize a low - rank approximation of the original matrix. The auxiliary subsystems in subdomains are solved by direct or by the Krylov iterative methods. The parallel implementation of algorithms is based on hybrid programming with MPI-processes and multi-thread computing for the upper and the low levels of iterations, respectively. We describe some characteristic features of the computational technologies of DDMs that are realized within the framework of the library KRYLOV in the Institute of Computational Mathematics and Mathematical Geophysics, SB RAS, Novosibirsk. The technical requirements for this code are based on the absence of the program constraints on the degree of freedom and on the number of processor units. The conceptions of the creating the unified numerical envirement for DDMs are presented and discussed.

KW - Coarse grid corection

KW - Domain decomposition

KW - Hierarchical memory

KW - Hybrid programming

KW - Krylov subspaces

KW - Multi-dimensional boundary value problems

KW - Multi-preconditioning

KW - Scalable parallelism

KW - SCHWARZ

UR - http://www.scopus.com/inward/record.url?scp=85018431817&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-57099-0_9

DO - 10.1007/978-3-319-57099-0_9

M3 - Conference contribution

AN - SCOPUS:85018431817

SN - 9783319570983

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 95

EP - 106

BT - Numerical Analysis and Its Applications - 6th International Conference, NAA 2016, Revised Selected Papers

A2 - Dimov, null

A2 - Farago, null

A2 - Vulkov, L

PB - Springer-Verlag GmbH and Co. KG

T2 - 6th International Conference on Numerical Analysis and Its Applications, NAA 2016

Y2 - 14 June 2016 through 21 June 2016

ER -

ID: 10263008