A study of errant pipeline flushes caused by value misspeculation

D. Balkan, J. Kalamatianos, D. Kaeli
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Abstract

Value speculation has been proposed as a technique that can overcome true data dependencies, hide memory latencies, and expose higher degrees of instruction level parallelism (ILP). Branch direction prediction and target address prediction are two widely used control speculation techniques aimed at providing a steady stream of instructions to the instruction window. In this paper we consider a load value predictor used together with an aggressive branch predictor microarchitecture and investigate the effects of load value misspeculations on branch resolution. We study the performance impact of the interaction of these mechanisms and characterize the occurence of these events in a multiple issue, out-of-order, superscalar pipeline. We perform execution-driven studies using integer benchmarks taken from the SPECint2000, SPECint95 and Olden suites. We show that IPC can deteriorate by as much as 4.7% due to unnecessary pipeline flushes caused by branch resolutions that use speculative data. This paper also proposes a mechanism that can prevent these unnecessary squashes from occurring.
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由价值错误推测引起的管道错误冲洗研究
值推测已经被提出作为一种技术,可以克服真正的数据依赖性,隐藏内存延迟,并暴露更高程度的指令级并行性(ILP)。分支方向预测和目标地址预测是两种广泛使用的控制推测技术,旨在为指令窗口提供稳定的指令流。在本文中,我们考虑了负载值预测器与主动分支预测器微架构一起使用,并研究了负载值错误猜测对分支分辨率的影响。我们研究了这些机制相互作用对性能的影响,并描述了这些事件在多问题、无序、超标量管道中的发生。我们使用来自SPECint2000、SPECint95和Olden套件的整数基准执行执行驱动的研究。我们表明,由于使用推测数据的分支解析导致不必要的管道刷新,IPC可能会恶化多达4.7%。本文还提出了一种机制,可以防止这些不必要的挤压发生。
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