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Preprints of the Keldysh Institute of Applied Mathematics, 2023, 035, 32 pp.
DOI: https://doi.org/10.20948/prepr-2023-35
(Mi ipmp3163)
 

This article is cited in 3 scientific papers (total in 3 papers)

MPI+OpenMP methods for implementing the conjugate gradient method with the IC(0) preconditioner based on the use of grid node reordering

O. Yu. Milyukova
References:
Abstract: The paper considers two ways of using MPI and MPI+OpenMP technologies for constructing and inverting the preconditioner of an incomplete triangular Cholesky decomposition without filling IC(0) for solving systems of linear algebraic equations with an arbitrary symmetric positive definite matrix. They differ in the way in which the preconditioning matrix IC(0) is computed. Methods of using MPI and MPI+OpenMP technologies are based on the use of grid node orderings consistent with the division of the calculation area. The use of OpenMP technology in the construction and inversion of the preconditioner is carried out for most rows of the matrix. Comparative timing results for the MPI+OpenMP and MPI implementations of the proposed preconditioning used with the conjugate gradient method for a model problems and the sparse matrix collections SuiteSparse as well as comparing the time of solving these problems using two methods of using MPI and MPI + OpenMP technology are presented.
Keywords: incomplete Cholesky factorization, Domain Decomposition ordering, parallel preconditioning, conjugate gradient method.
Document Type: Preprint
Language: Russian
Citation: O. Yu. Milyukova, “MPI+OpenMP methods for implementing the conjugate gradient method with the IC(0) preconditioner based on the use of grid node reordering”, Keldysh Institute preprints, 2023, 035, 32 pp.
Citation in format AMSBIB
\Bibitem{Mil23}
\by O.~Yu.~Milyukova
\paper MPI+OpenMP methods for implementing the conjugate gradient method with the IC(0) preconditioner based on the use of grid node reordering
\jour Keldysh Institute preprints
\yr 2023
\papernumber 035
\totalpages 32
\mathnet{http://mi.mathnet.ru/ipmp3163}
\crossref{https://doi.org/10.20948/prepr-2023-35}
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  • https://www.mathnet.ru/eng/ipmp/y2023/p35
  • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Препринты Института прикладной математики им. М. В. Келдыша РАН
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    Full-text PDF :31
    References:13
     
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