Branch Prediction Migration for Multi-Core Architectures

Tan Zhang, Chaobing Zhou, Libo Huang, Nong Xiao
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引用次数: 1

Abstract

Thread migration is ubiquitous in multi-core architectures. When a thread migrates to a new core, the branch information of the branch predictor on new core is absent, which will lead to the predictor won't work as intended until the warm-up finish. In this poster, we point out that, when a thread migrates to a new core, the warm-up time of branch predictors can be reduced by migrating branch history information from the source core to the target. In addition, we improve branch prediction accuracy by migrating branch history information including prediction tables and GHR. Moreover, several migration strategies are introduced to fully exploit the performance of branch predictor migration. Preliminary performance results shows that, compared to the experiment baseline which dosen't migrate any branch history information, branch prediction migration reduces MPKI of the branch predictor on new core by 43.46% on average.
多核架构的分支预测迁移
线程迁移在多核体系结构中是普遍存在的。当线程迁移到新核心时,新核心上的分支预测器的分支信息将不存在,这将导致预测器在热身完成之前无法正常工作。在这张海报中,我们指出,当一个线程迁移到一个新的核心时,可以通过将分支历史信息从源核心迁移到目标核心来减少分支预测器的预热时间。此外,我们通过迁移包括预测表和GHR在内的分支历史信息来提高分支预测的准确性。此外,还介绍了几种迁移策略,以充分利用分支预测器迁移的性能。初步性能结果表明,与不迁移任何分支历史信息的实验基线相比,迁移分支预测器在新核心上的MPKI平均降低了43.46%。
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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