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Better traffic distribution one-to-all broadcast in higher dimensional Gaussian networks

机译:在高维高斯网络中更好的流量分配对所有广播

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摘要

A higher dimensional Gaussian network, , has been proposed in Shamaei et al. (IEEE 28th international parallel and distributed processing symposium workshops, pp 1438-1447, 2014) as a useful alternative of the classical multi-dimensional torus network. The one-to-all broadcast is a well-known algorithm that spreads a message from one node to all other nodes in the network. This paper presents an improved one-to-all broadcasting algorithm in that achieves a lower average number of steps to receiving the broadcasted message. Furthermore, the all-to-all broadcasting method is illustrated based on dividing the proposed one-to-all broadcasting algorithm into four phases. The analytical and simulation results show that the proposed algorithm achieves better traffic performance than the current known algorithm and has 4.1 % less total number of senders.
机译:Shamaei等人提出了一个更高维的高斯网络。 (IEEE第28届国际并行和分布式处理专题讨论会研讨会,第1438-1447页,2014年),作为经典多维环面网络的有用替代方法。一对一广播是一种众所周知的算法,它将消息从一个节点传播到网络中的所有其他节点。本文提出了一种改进的“全部广播”算法,该算法实现了接收广播消息的平均步骤数更少。此外,基于将所提出的一对一广播算法划分为四个阶段,示出了全部对广播方法。分析和仿真结果表明,与现有算法相比,该算法具有更好的流量性能,发送方总数减少了4.1%。

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