The first annual large dense linear system survey

A. Edelman
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引用次数: 12

Abstract

In the March 24, 1991 issue of NA Digest, I submitted a questionnaire asking who was solving large dense linear systems of equations. Based on the responses, nearly all large dense linear systems today arise from either the benchmarking of supercomputers or applications involving the influence of a two dimensional boundary on three dimensional space. Not surprisingly, the area of computational aerodynamics or aero-electromechanics represents an important commercial application requiring the solution of such systems. The largest unstructured matrix that has been factored using Gaussian Elimination was a complex matrix of size 55,296. The largest dense matrix solved on a Sun using an iterative method was a real matrix of size 20,000. It is unclear at this time whether dense methods are truly needed at all for huge matrices. It is intended to survey users every year with the hope of including more applications as I am made aware of them.
第一次年度大型密集线性系统调查
在1991年3月24日的《NA文摘》上,我提交了一份问卷,询问谁在求解大型密集线性方程组。基于响应,今天几乎所有的大型密集线性系统都来自超级计算机的基准测试或涉及二维边界对三维空间影响的应用。毫不奇怪,计算空气动力学或空气电力学领域代表了一个重要的商业应用,需要这种系统的解决方案。使用高斯消去法分解的最大的非结构化矩阵是一个大小为55,296的复杂矩阵。使用迭代方法在Sun上求解的最大密集矩阵是一个大小为20,000的实矩阵。目前还不清楚对于巨大的矩阵是否真的需要密集方法。它的目的是每年调查用户,希望包括更多的应用程序,因为我知道他们。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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