跟踪级推测多线程体系结构

Carlos Molina, Antonio González, Jordi Tubella
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引用次数: 10

摘要

本文提出了一种新的微架构,通过两个线程分别以推测和非推测的方式协同工作来利用跟踪级推测。该体系结构提供了两个主要好处:(a)在存在错误猜测的情况下不会引入重大惩罚;(b)任何类型的跟踪预测器都可以与该提议一起工作。通过这种方式,由于错误的推测不会带来重大的惩罚,因此可以合并积极的跟踪预测器。我们详细描述了TSMA(跟踪级推测多线程架构),并给出了初步结果,以显示该提议的好处。我们展示了简单的跟踪预测器如何在大多数情况下实现显著的加速。简单的痕量投机机制的结果显示平均加速16%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trace-level speculative multithreaded architecture
This paper presents a novel microarchitecture to exploit trace-level speculation by means of two threads working cooperatively in a speculative and non-speculative way respectively. The architecture presents two main benefits: (a) no significant penalties are introduced in the presence of a misspeculation and (b) any type of trace predictor can work together with this proposal. In this way, aggressive trace predictors can be incorporated since misspeculations do not introduce significant penalties. We describe in detail TSMA (trace-level speculative multithreaded architecture) and present initial results to show the benefits of this proposal. We show how simple trace predictors achieve significant speed-up in the majority of cases. Results of a simple trace speculation mechanism show an average speed-up of 16%.
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CiteScore
2.30
自引率
0.00%
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