Application of NASA general-purpose solver to large-scale computations in aeroacoustics

被引:0
|
作者
Watson, WR [1 ]
Storaasli, OO [1 ]
机构
[1] NASA, Langley Res Ctr, Hampton, VA 23681 USA
关键词
finite element; vector-sparse solver; general-purpose solver; impedance eduction; symmetric matrices; solver statistics; large-scale computations; aeroacoustics; SGI ORIGIN 2000;
D O I
10.1016/S0965-9978(00)00015-6
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Of several iterative and direct equation solvers evaluated previously for computations in aeroacoustics, the most promising was the NASA-developed general-purpose solver (winner of NASA's 1999 software of the year award). This paper presents detailed, single-processor statistics of the performance of this solver, which has been tailored and optimized for large-scale aeroacoustic computations. The statistics compiled using an SGI ORIGIN 2000 computer with 12 Gb available memory (RAM) and eight available processors, are the central processing unit time, RAM requirements, and solution error. The equation solver is capable of solving 10 thousand complex unknowns in as little as 0.01 s using 0.02 Gb RAM, and 8.4 million complex unknowns in slightly less than 3 h using all 12 Gb. This latter solution Is the largest aeroacoustics problem solved to date with this technique. The study was unable to detect any noticeable error in the solution, since noise levels predicted from these solution vectors are in excellent agreement with the noise levels computed from the exact solution. The equation solver provides a means for obtaining numerical solutions to aeroacoustics problems in three dimensions. (C) 2000 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:555 / 561
页数:7
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