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An Efficient Collective Communication Method for Grid Scale Networks

机译:一种高效的网格尺度网络集体通信方法

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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:该研究是为网格级网络环境设计有效集体操作的集合。在网格中,应指定若干网络功能,并适应集体操作的算法设计。为此,我们将网格和设计分层延迟最优树算法为MPI(消息传递接口)库。实验结果表明,与基于扁平算法的MPICH-G2相比,执行集体运算的性能增益可以通过大约160%实现。

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