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Randomized Throughput-Optimal Oblivious Routing for Torus Networks

机译:Torus网络的随机吞吐量-最优遗忘路由

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摘要

In this paper, we study the problem of optimal oblivious routing for 1D and 2D torus networks. We introduce a new closed-form oblivious routing algorithm called W2TURN that is worst-case throughput optimal for 2D torus networks. W2TURN is based on a weighted random selection of paths that contain at most two turns. Restricting the maximum number of turns in routing paths to just two enables a simple deadlock-free implementation of W2TURN. In terms of average hop count, W2TURN outperforms the best previously known closed-form worst-case throughput optimal routing algorithm called IVAL [CHECK END OF SENTENCE]. When the network radix is odd, W2TURN achieves the minimum average hop count that can be achieved with 2-turn paths while remaining worst-case throughput optimal. When the network radix is even, W2TURN comes very close to achieving the minimum average hop count while remaining worst-case throughput optimal, within just 0.72 percent on a 12times 12 torus. We also describe another routing algorithm based on weighted random selection of paths with at most two turns called I2TURN and show that I2TURN is equivalent to IVAL. However, I2TURN eliminates the need for loop removal at runtime and provides a closed-form analytical expression for evaluating the average hop count. The latter enables us to demonstrate analytically that W2TURN strictly outperforms IVAL (and I2TURN) in average hop count. Finally, we present a new optimal weighted random routing algorithm for rings called Weighted Random Direction (WRD). WRD provides a closed-form expression for the optimal distribution of traffic along the minimal and nonminimal directions in a ring topology to achieve minimum average hop count while guaranteeing optimal worst-case throughput. Based on our evaluations, in addition to being worst-case throughput optimal, W2TURN and WRD also perform well in the average case, and outperform the best previously known worst-case throughput optimal routing algorithms with closed-for- descriptions in latency and throughput over a wide range of traffic patterns.
机译:在本文中,我们研究了一维和二维环形网络的最优遗忘路由问题。我们引入了一种称为W2TURN的新的闭式遗忘路由算法,该算法对于2D圆环网络来说是最坏的吞吐量。 W2TURN基于包含最多两个匝的路径的加权随机选择。将路由路径中的最大匝数限制为仅两个,就可以实现W2TURN的简单无死锁实现。在平均跳数方面,W2TURN的性能优于以前称为IVAL [CHECK END OF SENTENCE]的最佳闭合格式最坏情况吞吐量最佳路由算法。当网络基数为奇数时,W2TURN可以实现2匝路径可以实现的最小平均跳数,同时保持最坏情况下的吞吐量最佳。当网络基数为偶数时,W2TURN非常接近达到最小平均跳数,同时保持最坏情况下的吞吐量最佳,在12乘12圆环上仅占0.72%。我们还描述了另一种基于路径的加权随机选择的路由算法,该路径最多具有两个回合,称为I2TURN,并证明I2TURN等效于IVAL。但是,I2TURN消除了在运行时删除循环的需要,并提供了一种闭合形式的解析表达式来评估平均跳数。后者使我们能够从分析上证明W2TURN在平均跳数方面严格胜过IVAL(和I2TURN)。最后,我们为环提出了一种新的最优加权随机路由算法,称为加权随机方向(WRD)。 WRD为闭合拓扑中沿最小和非最小方向的流量最佳分布提供了一种封闭形式的表达式,以实现最小的平均跳数,同时保证最佳的最坏情况吞吐量。根据我们的评估,W2TURN和WRD除了是最坏情况下的吞吐量优化之外,在平均情况下也表现出色,并且在延迟和吞吐量上进行了封闭式描述,性能优于以前已知的最坏情况下吞吐量最优路由算法。广泛的交通方式。

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