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Head-of-line blocking avoidance in Slim Fly networks using deadlock-free non-minimal and adaptive routing

机译:使用无死锁的非最小自适应路由在Slim Fly网络中避免行首阻塞

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Interconnection network performance is a key issue in HPC systems and datacenters, especiallyas theirnumberof endnodes grows, to cope with applicationneeds.Thenetwork topologyandtherouting algorithm are important factors for performance and cost. Topologies such as fat-tree orDragonfly were proposed to maximize network performance while reducing network resources.One of the most promising topologies is Slim Fly, which offers high network bandwidth assuringlow network diameter. However, adversarial traffic and/or congestion situations may degradeSlim Fly's performance dramatically. Non-minimal routings, such as Valiant or UGAL, can mitigatethe former problem while queuing schemes can handle the latter one. In this paper, weproposed a combined mechanism to provide Slim Fly network with both non-minimal routing andqueuing schemes by using several virtual networks to guarantee deadlock freedom. Each virtualnetwork consists of a set of virtual channels to store packets separately according to a mappingpolicy. This diminishes the interaction among traffic flows, thus reducing head-of-line blocking.The results obtained from a simulation-based evaluation show that our proposal enhances theperformance in all the traffic cases, in contrast to other mechanisms whose performance drops incertain scenarios.
机译:互连网络性能是HPC系统和数据中心的关键问题,尤其是端节点数量不断增长以应对应用需求。网络拓扑和路由算法是性能和成本的重要因素。提出了诸如胖树或 r nDragonfly之类的拓扑结构,以在降低网络资源的同时最大化网络性能。 r n最有前途的拓扑结构之一是Slim Fly,它提供了高网络带宽,可以保证网络直径的减小。但是,敌对交通和/或拥堵情况可能会严重降低Slim Fly的性能。非最小路由(例如Valiant或UGAL)可以缓解前一种问题,而排队方案可以处理后一种问题。在本文中,我们提出了一种组合机制,通过使用多个虚拟网络来确保死锁自由,从而为Slim Fly网络提供非最小路由和 r n排队方案。每个虚拟网络由一组虚拟通道组成,用于根据映射策略分别存储数据包。 r n从基于仿真的评估中获得的结果表明,与其他机制相比,我们的建议在所有交通情况下均提高了 r n性能,从而减少了交通流之间的互动。在某些情况下其性能会下降。

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