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A New Domain Decomposition Approach Suited for Grid Computing

机译:适用于网格计算的新域分解方法

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In this paper, we describe a new kind of domain decomposition strategy for solving linear elliptic boundary-value problems. It outperforms the traditional ones in complex and heterogeneous networks like those for grid computing. Such a strategy consists of a hybrid numerical scheme based on a probabilistic method along with a domain decomposition, and full decoupling can be accomplished. While the deterministic approach is strongly affected by intercommunication among the hosts, the probabilistic method is scalable as the number of subdomains, i.e., the number of processors involved, increases. This fact is clearly illustrated by an example, even operating in a grid environment.
机译:在本文中,我们描述了一种用于解决线性椭圆边值问题的新型域分解策略。它优于传统的复杂和异构网络中的传统形式,如网格计算。这种策略包括基于概率方法的混合数值方案以及域分解,并且可以实现完全去耦。虽然确定性方法受到主机之间的互通的强烈影响,但是概率方法可以缩放,作为子域的数量,即涉及的处理器数量增加。通过示例清楚地说明了这一事实,甚至在网格环境中运行。

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