DATA-PARALLEL LOWER-UPPER RELAXATION METHOD FOR REACTING FLOWS

被引:34
作者
CANDLER, GV [1 ]
WRIGHT, MJ [1 ]
MCDONALD, JD [1 ]
机构
[1] MASPAR COMP CORP,RES STAFF,SUNNYVALE,CA 94086
关键词
D O I
10.2514/3.12303
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
The implicit lower-upper symmetric Gauss-Seidel (LU-SGS) method of Yoon and Jameson is modified for use on massively parallel computers. The method has been implemented on the Thinking Machines CM-5 and the MasPar MP-1 and MP-2, where large percentages of the theoretical peak floating point performance are obtained. It is shown that the new data-parallel LU relaxation method has better convergence properties than the original method for two different inviscid compressible flow simulations. The convergence is also improved for five-species reacting air computations. The performance of the method on various partitions of the CM-5 and on the MasPar computers is discussed. The new method shows promise for the efficient simulation of very large perfect gas and reacting flows.
引用
收藏
页码:2380 / 2386
页数:7
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