Research on Program Execution Time Assessment of LLVM IR Program

Shuyong Liu, Yanxia Wu, Tianxiang Sun, Guoyin Zhang
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Abstract

Program performance assessment is one of important methods to optimize a system design. The assessment of program execution time is always key topic in computer structure. A good assessment can provide important measure basis for hardware/software automatic partitioning in reconfigurable computer compiler. This paper analyzes the characteristics of IR program and proposes an IR layer program classification algorithm for assessing the program execution time. The method can provide an accurate measure and can be constructed into a BP neural network assessment system. The experimental results show that the proposed assessment model has lower assessment deviation compared to other models under the same conditions. The BP neural network model can be trained.
LLVM IR程序执行时间评估研究
程序性能评估是优化系统设计的重要方法之一。程序执行时间的评估一直是计算机结构中的关键问题。良好的评估可以为可重构计算机编译器的软硬件自动划分提供重要的度量依据。分析了红外层程序的特点,提出了一种用于评估程序执行时间的红外层程序分类算法。该方法可提供准确的测量值,并可构建BP神经网络评价系统。实验结果表明,在相同条件下,与其他模型相比,所提出的评估模型具有较低的评估偏差。BP神经网络模型是可以训练的。
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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