Modeling virtual channel flow control in hypercubes

Younes M. Boura, C. Das
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引用次数: 14

Abstract

An analytical model for virtual channel flow control in n-dimensional hypercubes using the e-cube routing algorithm is developed. The model is based on determining the values of the different components that make up the average message latency. These components include the message transfer time, the blocking delay at each dimension, the multiplexing delay at each dimension, and the waiting delay at the source node. The first two components are determined using a probabilistic analysis. The average degree of multiplexing is determined using a Markov model, and the waiting delay at the source node is determined using an M/M/m queueing system. The model is fairly accurate in predicting the average message latency for different message sizes and a varying number of virtual channels per physical channel. It is demonstrated that wormhole switching along with virtual channel flow control make the average message latency insensitive to the network size when the network is relatively lightly loaded (message arrival rate is equal to 40% of channel capacity), and that the average message latency increases linearly with the average message size. The simplicity and accuracy of the analytical model make it an attractive and effective tool for predicting the behavior of n-dimensional hypercubes.<>
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超多维数据集中的虚拟通道流控制建模
建立了基于e-cube路由算法的n维超立方体虚拟通道流量控制的解析模型。该模型基于确定构成平均消息延迟的不同组件的值。这些组件包括消息传输时间、每个维度上的阻塞延迟、每个维度上的多路复用延迟以及源节点上的等待延迟。前两个组成部分是使用概率分析确定的。采用马尔可夫模型确定平均复用度,采用M/M/ M排队系统确定源节点的等待时延。该模型在预测不同消息大小和每个物理通道的虚拟通道数量变化时的平均消息延迟方面相当准确。研究表明,当网络负载相对较轻(消息到达率等于通道容量的40%)时,虫洞交换和虚拟通道流量控制使平均消息延迟对网络大小不敏感,并且平均消息延迟随着平均消息大小线性增加。解析模型的简单性和准确性使其成为预测n维超立方体行为的有效工具
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