Communication-aware scalability analysis based on critical path

Yufei Lin, Yuhua Tang, Yun Liu, Xinhai Xu
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引用次数: 0

Abstract

With the scale of parallel computing system growing up, the influence of the communication overhead cannot be ignored. Parallel speedup is the most commonly used metric for evaluating scalability in parallel computing, and we propose communication-aware speedup based on the traditional speedup to quantitatively analyze the system scalability. This paper presents the definition of communication-aware scalability, discusses the communication-aware scalability by using critical path, and then quantitatively classifies the systems according to their communication-aware scalabilities. Through case studies, we analyze the communication-aware scalabilities of some parallel systems. A significant conclusion of this paper is that the system is scalable, if the communication overhead increases at a rate with lower exponent than parallel workload.
基于关键路径的通信感知可伸缩性分析
随着并行计算系统规模的不断扩大,通信开销的影响不容忽视。并行加速是评价并行计算可扩展性最常用的指标,本文在传统加速的基础上提出了通信感知加速来定量分析系统的可扩展性。给出了通信感知可扩展性的定义,利用关键路径对通信感知可扩展性进行了讨论,并根据通信感知可扩展性对系统进行了定量分类。通过实例分析,分析了一些并行系统的通信感知可扩展性。本文的一个重要结论是,如果通信开销以低于并行工作负载的指数速率增长,则系统是可扩展的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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