结合推测执行和条件资源共享,有效调度条件行为

A. Kountouris, C. Wolinski
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引用次数: 6

摘要

调度条件行为需要使用各种调度优化技术,如条件资源共享和推测执行。以前的研究工作已经清楚地表明了它们的有效性。开发的启发式在句法变异对结果的影响方面有几个缺点。本文提出了一种基于列表的调度启发式算法,该算法利用了有条件的资源共享和推测的执行可能性。它的结果对语法变化不敏感,并且条件行为可以通过概率优先级函数有效地解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Combining speculative execution and conditional resource sharing to efficiently schedule conditional behaviors
Scheduling conditional behaviors necessitates the use of a variety of scheduling optimization techniques like conditional resource sharing and speculative execution. Previous research work has clearly shown their effectiveness. The developed heuristics have several drawbacks relating to the effects of syntactic variance on the results. In this paper a list-based scheduling heuristic that exploits conditional resource sharing and speculative execution possibilities, is presented. Its results are quite insensitive to syntactic variance and conditional behavior is effectively accounted for by a probabilistic priority function.
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