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An Efficient and Robust Decentralized Algorithm for Detecting the Global Convergence in Asynchronous Iterative Algorithms

机译:一种用于检测异步迭代算法中全局收敛的一种有效且鲁棒的分散算法

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In this paper we present a practical, efficient and robust algorithm for detecting the global convergence in any asynchronous iterative process. A proven theoretical version, together with a first practical version, was presented in [1]. However, the main drawback of that first practical version was to require the determination of the maximal communication time between any couple of nodes in the system during the entire iterative process. The version presented in this paper does not require any additional information on the parallel system while always ensuring correct detections.
机译:在本文中,我们提出了一种用于检测任何异步迭代过程中的全局融合的实用,高效且稳健的算法。验证的理论版本与第一个实用版本一起提供[1]。然而,第一实用版本的主要缺点是在整个迭代过程中需要确定系统中的任何节点之间的最大通信时间。本文提出的版本不需要有关并行系统的任何其他信息,同时始终确保正确的检测。

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