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An Efficient Collective Communication Method for Grid Scale Networks

机译:网格规模网络的有效集体通信方法

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摘要

This research is to design a collection of effective collective operations for the Grid scale network environment. In the Grid, several network features should be specified and adapted into the algorithmic design of collective operations. For this, we characterize the Grid and design hierarchical latency optimal tree algorithm for the MPI (message passing interface) library. The experimental results show that performance gain in performing collective operations can be achieved by around 160% compared with MPICH-G2 which is based on the flat algorithm.
机译:这项研究旨在为Grid规模网络环境设计有效的集体运营的集合。在网格中,应指定几个网络功能,并将其应用于集体操作的算法设计中。为此,我们表征了网格并为MPI(消息传递接口)库设计了层次延迟最佳树算法。实验结果表明,与基于扁平算法的MPICH-G2相比,执行集体操作的性能可提高约160%。

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