Stabilized explicit-implicit domain decomposition methods for the numerical solution of parabolic equations

被引:54
|
作者
Zhuang, Y [1 ]
Sun, XH
机构
[1] Texas Tech Univ, Dept Comp Sci, Lubbock, TX 79409 USA
[2] IIT, Dept Comp Sci, Chicago, IL 60616 USA
来源
SIAM JOURNAL ON SCIENTIFIC COMPUTING | 2002年 / 24卷 / 01期
关键词
parallel computing; nonoverlapping domain decomposition; parabolic equation; globally noniterative method;
D O I
10.1137/S1064827501384755
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
e report a class of stabilized explicit-implicit domain decomposition (SEIDD) methods for the numerical solution of parabolic equations. Explicit-implicit domain decomposition (EIDD) methods are globally noniterative, nonoverlapping domain decomposition methods, which, when compared with Schwarz-algorithm-based parabolic solvers, are computationally and communicationally efficient for each simulation time step but suer from small time step-size restrictions. By adding a stabilization step to EIDD, the SEIDD methods retain the time-stepwise efficiency in computation and communication of the EIDD methods but exhibit much better numerical stability. Three SEIDD algorithms are presented in this paper, which are experimentally tested to show excellent stability, computation and communication efficiencies, and high parallel speedup and scalability.
引用
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页码:335 / 358
页数:24
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