The Time-Space Model for Instruction Reference Behavior

C. Weng, E. Johnson
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引用次数: 4

Abstract

In this paper, an abstract model is established for describing the behavior of instruction references. From this model, we can obtain accurate predictions of cache miss ratios without the expense of trace-driven simulation. The time-space model explores the relationship between the sojourn times and working spaces of program executions. The average sojourn time per reference (ASPR) of each block of program activity is used as an indicator of the likelihood that such blocks stay in a cache. A time-space list is created, ordered by ASPR, to keep track of how much time is spent in each block of the working space. This list incorporates the information as to phase separations, loop sizes, loop counts, and so on. With this time-space relation of a trace and a few constants regarding the cache memory configuration, the miss ratio curve of a program can be predicted, based on the assumption that the higher ASPR blocks always stay in the cache. We present an evaluation of this technique using a wide variety of programs. The miss ratio curves predicted by the timespace model for fully associative caches are compared with the curves produced by trace-driven simulation, with very good agreement in most cases.
指令参考行为的时空模型
本文建立了一个描述指令引用行为的抽象模型。从这个模型中,我们可以获得准确的缓存丢失率的预测,而无需花费跟踪驱动的模拟。时间-空间模型探讨程序执行的停留时间和工作空间之间的关系。每个程序活动块的每个引用的平均停留时间(ASPR)被用作这些块留在缓存中的可能性的指示器。一个由ASPR排序的时间-空间列表被创建,以跟踪在工作空间的每个块上花费了多少时间。这个列表包含了相分离、循环大小、循环计数等信息。有了这个轨迹的时空关系和一些关于缓存配置的常量,基于高ASPR块总是留在缓存中的假设,可以预测程序的缺失率曲线。我们使用各种各样的程序对这种技术进行评估。将时间空间模型预测的全关联缓存的脱靶率曲线与轨迹驱动仿真得到的脱靶率曲线进行了比较,两者在大多数情况下具有很好的一致性。
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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