Enviar artigo por via de e-mail Parallel Versions of Implicit LU-SGS Method
- Autores: Chikitkin A.1, Petrov M.1, Titarev V.1,2, Utyuzhnikov S.1,3
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Afiliações:
- Moscow Institute of Physics and Technology (State University)
- Federal Research Center “Computer Science and Control”
- University of Manchester
- Edição: Volume 39, Nº 4 (2018)
- Páginas: 503-512
- Seção: Article
- URL: https://journals.rcsi.science/1995-0802/article/view/201992
- DOI: https://doi.org/10.1134/S1995080218040054
- ID: 201992
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Resumo
Different parallel distributed-memory versions of Lower-Upper Symmetric Gauss–Seidel (LU-SGS) method for solution of discrete equations in finite-volume framework are compared in terms of parallel structure of algorithms. New version based on multilevel recursive decomposition is proposed.
Sobre autores
A. Chikitkin
Moscow Institute of Physics and Technology (State University)
Autor responsável pela correspondência
Email: chikitkin.av@mipt.ru
Rússia, Dolgoprudny, Moscow oblast, 141700
M. Petrov
Moscow Institute of Physics and Technology (State University)
Email: chikitkin.av@mipt.ru
Rússia, Dolgoprudny, Moscow oblast, 141700
V. Titarev
Moscow Institute of Physics and Technology (State University); Federal Research Center “Computer Science and Control”
Email: chikitkin.av@mipt.ru
Rússia, Dolgoprudny, Moscow oblast, 141700; Moscow, 119333
S. Utyuzhnikov
Moscow Institute of Physics and Technology (State University); University of Manchester
Email: chikitkin.av@mipt.ru
Rússia, Dolgoprudny, Moscow oblast, 141700; Manchester, M13 9PL
