由热函数引导的编译器优化的设计空间探索

Marcos Yukio Siraichi, Caio Tonetti, A. F. Silva
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引用次数: 2

摘要

众所周知,热函数花费了大量的程序运行时。这高度表明,这些函数应该指导探索将源代码翻译成目标代码时将使用哪种编译器优化顺序的过程。虽然文献提出了几种设计空间探索(DSE)技术,但这些技术并不是由热函数指导的。为了填补这一空白,我们提出了一种由热函数引导的编译器优化DSE,它采用基于案例的推理技术为未见过的程序找到一个好的编译器优化序列。我们使用Clang/LLVM 3.7.0编译器对Intel处理器Core I7-3770进行了大量实验,考虑了131个LLVM优化以及cBench和Poly-bench基准测试。结果表明,我们的DSE能够在00标志上实现2.013的几何平均加速;与其他方法获得的从1.632到2.036的几何平均加速相比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A design space exploration of compiler optimizations guided by hot functions
It is well-known that a large amount of program runtime is spent by hot functions. It highly indicates that such functions should guide the process of exploring which compiler optimization sequence will be used during the translation of source code into target code. Although the literature presents several Design Space Exploration (DSE) techniques, these are not guided by hot functions. To fill this gap, we present a DSE of compiler optimizations which is guided by hot functions, which employs a case-based reasoning technique to find a good compiler optimization sequence for unseen programs. We performed a number of experiments targetting the Intel processor Core I7-3770 using the Clang/LLVM 3.7.0 compiler, considering 131 LLVM optimizations and the benchmarks cBench and Poly-bench. The results show that our DSE is able to achieve a geometric mean speedup of 2.013 over the 00 flag; versus geometric mean speedups from 1.632 to 2.036 obtained with other approaches.
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