Parallel Versions of Implicit LU-SGS Method


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详细

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.

作者简介

A. Chikitkin

Moscow Institute of Physics and Technology (State University)

编辑信件的主要联系方式.
Email: chikitkin.av@mipt.ru
俄罗斯联邦, Dolgoprudny, Moscow oblast, 141700

M. Petrov

Moscow Institute of Physics and Technology (State University)

Email: chikitkin.av@mipt.ru
俄罗斯联邦, 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
俄罗斯联邦, Dolgoprudny, Moscow oblast, 141700; Moscow, 119333

S. Utyuzhnikov

Moscow Institute of Physics and Technology (State University); University of Manchester

Email: chikitkin.av@mipt.ru
俄罗斯联邦, Dolgoprudny, Moscow oblast, 141700; Manchester, M13 9PL


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