投机更新分支历史对分支预测精度的影响,重新审视

MICRO 27 Pub Date : 1994-11-30 DOI:10.1145/192724.192756
E. Hao, Po-Yung Chang, Y. Patt
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引用次数: 62

摘要

最近的研究表明,为了使两级自适应分支预测器工作良好,分支历史寄存器不需要包含最近分支的结果。从这个结果来看,很容易得出分支历史寄存器不需要进行推测性更新的结论。本文回顾了这项工作,并解释了何时可以在不显著影响性能的情况下省略最新的分支结果。这也解释了为什么这个结果并不意味着推测性更新不重要。本文表明,由于机器中存在的未解决分支的数量在程序执行期间发生变化,因此没有推测更新的分支预测器的性能明显低于具有推测更新的分支预测器。
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The effect of speculatively updating branch history on branch prediction accuracy, revisited
Recent research has suggested that the branch history register need not contain the outcomes of the most recent branches in order for the Two-Level Adaptive Branch Predictor to work well. From this result, it is tempting to conclude that the branch history register need not be speculatively updated. This paper revisits this work and explains when the most recent branch outcomes can be omitted without significantly affecting performance. It also explains why this result does not imply that speculative update is not important. This paper shows that because the number of unresolved branches present in the machine varies during program execution, branch predictors without speculative update perform significantly worse than branch predictors with speculative update.
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