分析支持乱序通信对iWARP有序性能的影响

P. Balaji, Wu-chun Feng, S. Bhagvat, D. Panda, R. Thakur, W. Gropp
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引用次数: 13

摘要

由于高端计算系统越来越需要容忍网络故障和拥塞,支持多种网络通信路径变得越来越重要。然而,多路径通信的缺点是数据包的到达顺序混乱(因为数据包可能遍历不同的路径)。虽然现代网络栈,如10千兆以太网(10GE)上的互联网广域RDMA协议(iWARP)支持多路径通信,但它们目前的实现不能处理乱序数据包,主要是因为它增加了有序通信的开销。具体来说,在iWARP中,支持乱序数据包需要每个数据包携带额外的信息,这会对有序到达的数据包造成很大的开销。因此,在本文中,我们分析了在设计一个功能完整的iWARP堆栈时的权衡,即提供对乱序到达数据包的支持,从而支持多路径系统,同时关注有序通信的性能。我们提出了三种功能完整的iWARP设计,并使用基于几个微基准的性能实验以及一个等面视觉渲染应用程序分析了每种设计的优缺点。我们的分析表明,提供最佳整体性能的iWARP设计取决于上层的特定特性,而基于感兴趣的度量,不同的设计是最优的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analyzing the impact of supporting out-of-order communication on in-order performance with iWARP
Due to the growing need to tolerate network faults and congestion in high-end computing systems, supporting multiple network communication paths is becoming increasingly important. However, multi-path communication comes with the disadvantage of out-of-order arrival of packets (because packets may traverse different paths). While modern networking stacks such as the Internet Wide-Area RDMA Protocol (iWARP) over 10-Gigabit Ethernet (10GE) support multi-path communication, their current implementations do not handle out-of-order packets primarily owing to the overhead on in-order communication that it adds. Specifically, in iWARP, supporting out-of-order packets requires every packet to carry additional information causing significant overhead on packets that arrive in-order. Thus, in this paper, we analyze the trade-offs in designing a feature-complete iWARP stack, i.e., one that provides support for out-of-order arriving packets, and thus, multi-path systems, while focusing on the performance of in-order communication. We propose three feature-complete designs of iWARP and analyze the pros and cons of each of these designs using performance experiments based on several micro-benchmarks as well as an iso-surface visual rendering application. Our analysis reveals that the iWARP design providing the best overall performance depends on the particular characteristics of the upper layers and that different designs are optimal based on the metric of interest.
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