Trace-driven simulation of memory system scheduling in multithread application

Peng Fei Zhu, Mingyu Chen, Yungang Bao, Licheng Chen, Yongbing Huang
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引用次数: 2

Abstract

Along with commercial chip-multiprocessors (CMPs) integrating more and more cores, memory systems are playing an increasingly important role in multithread applications. Currently, trace-driven simulation is widely adopted in memory system scheduling research, since it is faster than execution-driven simulation and does not require data computation. On the contrary, due to the same reason, its trace replay for concurrent thread execution lacks data information and contains only addresses, so misplacement occurs in simulations when the trace of one thread runs ahead or behind others. This kind of distortion can cause remarkable errors during research. As shown in our experiment, trace misplacement causes an error rate of up to 10.22% in the metrics, including weighted IPC speedup, harmonic mean of IPC, and CPI throughput. This paper presents a methodology to avoid trace misplacement in trace-driven simulation and to ensure the accuracy of memory scheduling simulation in multithread applications, thus revealing a reliable means to study inter-thread actions in memory systems.
多线程应用中内存系统调度的跟踪驱动仿真
随着商用芯片多处理器(cmp)集成越来越多的核心,存储系统在多线程应用中扮演着越来越重要的角色。由于跟踪驱动仿真比执行驱动仿真速度快,且不需要数据计算,目前在内存系统调度研究中被广泛采用。相反,由于同样的原因,它对并发线程执行的跟踪重放缺乏数据信息,只包含地址,因此在模拟中,当一个线程的跟踪运行在其他线程的前面或后面时,会发生错位。这种扭曲会在研究过程中造成显著的误差。如我们的实验所示,跟踪错位导致的指标错误率高达10.22%,包括加权IPC加速、IPC谐波平均值和CPI吞吐量。本文提出了一种在跟踪驱动仿真中避免跟踪错位和保证多线程应用中内存调度仿真准确性的方法,从而为研究内存系统中的线程间行为提供了一种可靠的方法。
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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