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A Note on Solving Problem 7 of the SIAM 100-Digit Challenge Using C-XSC

机译:关于使用C-XsC解决sIam 100位数挑战问题7的注意事项

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摘要

C-XSC is a powerful C++ class library which simplifies the developmentof selfverifying numerical software. But C-XSC is not only a development tool, it also provides a lot of predefined highly accurate routines to compute reliable bounds for the solution to standard numerical problems.In this note we discuss the usage of a reliable linear system solver to compute the solution of problem 7 of the SIAM 100-digit challenge. To get the result we have to solve a 20 000 × 20 000 system of linear equations using interval computations. To perform this task we run our software on the advanced Linux cluster engine ALiCEnext located at the University of Wuppertal and on the high performance computer HP XC6000 at the computing center of the University of Karlsruhe.The main purpose of this note is to demonstrate the power/weakness of our approach to solve linear interval systems with a large dense system matrix using C-XSC and to get feedback from other research groups all over the world concerned with the topic described. We are very much interested to see comparisons concerning different methods/algorithms, timings, memory consumptions, and different hardware/softwareenvironments. It should be easy to adapt our main routine (see Section 3 below) to other programming languages, and different computing environments. Changing just one variable allows the generation of arbitrary large system matrices making it easy to do sound (reproducible and comparable) timings and to check for the largest possible system size that can be handled successfully by a specific package/environment.
机译:C-XSC是功能强大的C ++类库,可简化自验证数字软件的开发。但是C-XSC不仅是一种开发工具,它还提供了许多预定义的高精度例程来计算标准数值问题的解决方案的可靠范围。在本说明中,我们讨论了使用可靠的线性系统求解器来计算解决方案的方法。 SIAM 100位数字挑战的问题7。为了获得结果,我们必须使用区间计算来求解20000×20000的线性方程组。为了执行此任务,我们在位于伍珀塔尔大学的高级Linux集群引擎ALiCEnext和位于卡尔斯鲁厄大学计算中心的高性能计算机HP XC6000上运行我们的软件。本说明的主要目的是演示该功能。我们的方法的弱点是无法使用C-XSC求解具有大密度系统矩阵的线性区间系统,并且无法获得来自与该主题相关的全球其他研究小组的反馈。我们非常感兴趣地看到有关不同方法/算法,时序,内存消耗以及不同硬件/软件环境的比较。使我们的主例程(请参阅下面的第3部分)适应其他编程语言和不同的计算环境应该很容易。仅更改一个变量就可以生成任意的大型系统矩阵,从而轻松进行声音(可重现和可比)时序,并检查可以通过特定包装/环境成功处理的最大系统尺寸。

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