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Research on Program Execution Time Assessment of LLVM IR Program

机译:LLVM IR程序的程序执行时间评估研究

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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.
机译: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始终是计算机结构中的关键主题。良好的评估可以为可重新配置的计算机编译器中的硬件/软件自动分区提供重要的测量依据。本文分析了IR程序的特点,提出了一种IR层程序分类算法,用于评估程序执行时间。该方法可以提供准确的度量,并且可以构建到BP神经网络评估系统中。实验结果表明,在相同条件下,提出的评估模型与其他模型相比具有较低的评估偏差。可以训练BP神经网络模型。

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