更好的吞吐量是否需要更差的延迟?

RACES '12 Pub Date : 2012-10-21 DOI:10.1145/2414729.2414736
D. Ungar, D. Kimelman, Sam S. Adams, M. Wegman
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引用次数: 0

摘要

让吞吐量表示单位时间内执行的应用程序级工作的数量,并将其归一化为完全线性扩展完成的工作量。让latency表示一个内核上的线程观察到由另一个内核上的线程影响的变化所需的平均时间,标准化为给定平台的最佳延迟。提高应用程序级吞吐量的算法是否真的会恶化核间应用程序级延迟?随着提高性能的技术从互斥锁发展到竞争修复,每一种技术似乎都以增加延迟为代价提供了更高的吞吐量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Does better throughput require worse latency?
Let throughput denote the amount of application-level work performed in unit time, normalized to the amount of work that would be accomplished with perfect linear scaling. Let latency denote the mean time required for a thread on one core to observe a change effected by a thread on another core, normalized to the best latency possible for the given platform. Might it be true that algorithms that improve application-level throughput worsen inter-core application-level latency? As techniques for improving performance have evolved from mutex-and-locks to race-and-repair, each seems to have offered more throughput at the expense of increased latency.
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