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Title:
Parallel Domain Decomposition Methods with Mixed Order Discretization for Fully Implicit Solution of Tracer Transport Problems on the Cubed-Sphere
Author: Yang, Haijian (1) ; Yang, Chao (2) ; Cai, Xiao-Chuan (4)
Corresponding Author: Cai, X.-C.(cai@cs.colorado.edu)
Keyword: Transport equation ; Cubed-sphere ; Fully implicit method ; Domain decomposition ; Parallel scalability
Source: Journal of Scientific Computing
Issued Date: 2014
Volume: 61, Issue:2, Pages:1-23
Indexed Type: SCI ; EI
Department: (1) College of Mathematics and Econometrics, Hunan University, Hunan, 410082, China; (2) Laboratory of Parallel Software and Computational Science, Institute of Software, Chinese Academy of Sciences, Beijing, 100190, China; (3) State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, 100190, China; (4) Department of Computer Science, University of Colorado Boulder, Boulder, 80309, United States
Abstract: In this paper, a fully implicit finite volume Eulerian scheme and a corresponding scalable parallel solver are developed for some tracer transport problems on the cubed-sphere. To efficiently solve the large sparse linear system at each time step on parallel computers, we introduce a Schwarz preconditioned Krylov subspace method using two discretizations. More precisely speaking, the higher order method is used for the residual calculation and the lower order method is used for the construction of the preconditioner. The matrices from the two discretizations have similar sparsity pattern and eigenvalue distributions, but the matrix from the lower order method is a lot sparser, as a result, excellent scalability results (in total computing time and the number of iterations) are obtained. Even though Schwarz preconditioner is originally designed for elliptic problems, our experiments indicate clearly that the method scales well for this class of purely hyperbolic problems. In addition, we show numerically that the proposed method is highly scalable in terms of both strong and weak scalabilities on a supercomputer with thousands of processors. © 2014 Springer Science+Business Media New York.
English Abstract: In this paper, a fully implicit finite volume Eulerian scheme and a corresponding scalable parallel solver are developed for some tracer transport problems on the cubed-sphere. To efficiently solve the large sparse linear system at each time step on parallel computers, we introduce a Schwarz preconditioned Krylov subspace method using two discretizations. More precisely speaking, the higher order method is used for the residual calculation and the lower order method is used for the construction of the preconditioner. The matrices from the two discretizations have similar sparsity pattern and eigenvalue distributions, but the matrix from the lower order method is a lot sparser, as a result, excellent scalability results (in total computing time and the number of iterations) are obtained. Even though Schwarz preconditioner is originally designed for elliptic problems, our experiments indicate clearly that the method scales well for this class of purely hyperbolic problems. In addition, we show numerically that the proposed method is highly scalable in terms of both strong and weak scalabilities on a supercomputer with thousands of processors. © 2014 Springer Science+Business Media New York.
Language: 英语
WOS ID: WOS:000343215600002
Citation statistics:
Content Type: 期刊论文
URI: http://ir.iscas.ac.cn/handle/311060/16794
Appears in Collections:软件所图书馆_期刊论文

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Recommended Citation:
Yang, Haijian ,Yang, Chao ,Cai, Xiao-Chuan . Parallel Domain Decomposition Methods with Mixed Order Discretization for Fully Implicit Solution of Tracer Transport Problems on the Cubed-Sphere[J]. Journal of Scientific Computing,2014-01-01,61(2):1-23.
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