面向大规模线性代数问题的全局和网格计算

L. Choy, S. Petiton
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引用次数: 1

摘要

全球计算平台和网格计算平台并行发展,两者之间没有任何联系。然而,它们可以被视为补充工具,收集它们的资源将是有趣的。此外,我们的重点是线性代数,很少适合全局计算。我们特别针对工业公司和实验室应用中经常使用的本征问题。在本文中,我们将这两个目标统一起来。我们在全局计算平台XtremWeb和RPC编程平台OmniRPC上拟合了分割算法。这些软件部署在两个不同的地理位置,一个是法国里尔理工学院的工程学院,另一个是日本筑波的HPCS实验室。两种不同的软件和两个地理位置的组合允许进行广泛的测试,然后分析它们并比较所有配置
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Toward global and grid computing for large scale linear algebra problems
Platforms of global computing and grid computing have been developed in parallel without any link between them. However, they can be considered as complementary tools and it would be interesting to gather their resources. Moreover, we focus on linear algebra which has been seldom fitted to global computing. In particular, we aim the eigen-problem which is often used by the applications of industrial companies and laboratories. In this paper, we unify those two goals. We fit the algorithm of bisection on a platform of global computing, XtremWeb, and on a platform of RPC programming, OmniRPC. Those software are deployed on two different geographic sites at the engineer school of Poly tech 'Lille, France, and at the HPCS laboratory of Tsukuba, Japan. The combination of two different software and two geographic sites allows to do a wide range of tests and, then, to analyze them and compare all configurations
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