基于QEMU的CPU指令频度分析
发布时间：2019-01-20 09:53
【摘要】：采集计算机在不同应用环境下的指令流,并对计算机各个指令使用的频度进行统计,对CPU指令设计和优化有指导意义。针对现有指令频度统计方法存在的跟踪效率低、获取速度慢等问题,提出一种新的指令频度分析方法。该方法的核心思想是在QEMU模拟器上执行用户行为脚本,利用QEMU插件获取CPU执行的指令流,并利用基于块的统计优化性能。实验结果表明,该方法可跟踪并获取指令流,能高效地分析出各指令的使用频度,并直观地展示分析结果。
[Abstract]:The instruction flow of computer in different application environment is collected, and the frequency of each instruction is counted, which is instructive to the design and optimization of CPU instruction. In order to solve the problems of low tracking efficiency and slow acquisition speed, a new command frequency analysis method is proposed. The core idea of this method is to execute the user behavior script on the QEMU simulator, to obtain the instruction stream executed by CPU by using the QEMU plug-in, and to optimize the performance based on block statistics. The experimental results show that the method can track and obtain instruction flow and can efficiently analyze the frequency of each instruction and display the analysis results directly.
【作者单位】： 首都师范大学信息工程学院计算机科学与技术系;清华大学计算机科学与技术系网络所;北京理工大学计算机学院;
【基金】：核高基项目(No.2012ZX01039-004-41,No.2012ZX01039-003)
【分类号】：TP332
本文编号：2411929
[Abstract]:The instruction flow of computer in different application environment is collected, and the frequency of each instruction is counted, which is instructive to the design and optimization of CPU instruction. In order to solve the problems of low tracking efficiency and slow acquisition speed, a new command frequency analysis method is proposed. The core idea of this method is to execute the user behavior script on the QEMU simulator, to obtain the instruction stream executed by CPU by using the QEMU plug-in, and to optimize the performance based on block statistics. The experimental results show that the method can track and obtain instruction flow and can efficiently analyze the frequency of each instruction and display the analysis results directly.
【作者单位】： 首都师范大学信息工程学院计算机科学与技术系;清华大学计算机科学与技术系网络所;北京理工大学计算机学院;
【基金】：核高基项目(No.2012ZX01039-004-41,No.2012ZX01039-003)
【分类号】：TP332
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，本文编号：2411929
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