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Preprints of the Keldysh Institute of Applied Mathematics, 2022, 102, 36 pp.
DOI: https://doi.org/10.20948/prepr-2022-102
(Mi ipmp3162)
 

This article is cited in 2 scientific papers (total in 2 papers)

Estimation of computational overheads for calculations on locally refined meshes

M. A. Kornilina, M. V. Yakobovskiy
References:
Abstract: A method for presenting grid data and algorithms for their processing when performing calculations on locally refined adaptive grids is considered. Estimates are obtained of the dependence of the number of operations and computational overheads on such parameters as the size of the base regular grid, the depth of refinement, and the number of processors. Algorithms for dynamic load balancing of processors, which provide a low level of overhead costs, are considered.
Keywords: supercomputer, load balancing, adaptive mesh refinement, speedup.
Document Type: Preprint
Language: Russian
Citation: M. A. Kornilina, M. V. Yakobovskiy, “Estimation of computational overheads for calculations on locally refined meshes”, Keldysh Institute preprints, 2022, 102, 36 pp.
Citation in format AMSBIB
\Bibitem{KorIak22}
\by M.~A.~Kornilina, M.~V.~Yakobovskiy
\paper Estimation of computational overheads for calculations on locally refined meshes
\jour Keldysh Institute preprints
\yr 2022
\papernumber 102
\totalpages 36
\mathnet{http://mi.mathnet.ru/ipmp3162}
\crossref{https://doi.org/10.20948/prepr-2022-102}
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  • https://www.mathnet.ru/eng/ipmp/y2022/p102
  • This publication is cited in the following 2 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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