一个快速的抽象语法树解释器

T. Kalibera, Petr Maj, Floréal Morandat, J. Vitek
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引用次数: 42

摘要

动态语言越来越受欢迎,以至于它们的性能开始变得重要起来。然而,开发生产质量的高性能运行时所需的工作是惊人的,并且这样做所需的专业知识通常超出了维护特定语言的社区的能力。许多领域特定的语言仍然停留在幼稚的实现上,因为它们对领域科学家来说很容易编写和维护。在本文中,我们试图了解在保持可移植性和不需要编译器和运行时系统专业知识的情况下,可以将一个幼稚的实现推进到什么程度。我们选择R语言,一种用于统计的动态语言,作为我们实验的目标,并采用尽可能简单的实现策略,一种基于抽象语法树评估的策略。我们在Java虚拟机上构建解释器,并且只使用所有Java程序员都可以使用的工具。我们将我们的结果与R的其他实现进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A fast abstract syntax tree interpreter for R
Dynamic languages have been gaining popularity to the point that their performance is starting to matter. The effort required to develop a production-quality, high-performance runtime is, however, staggering and the expertise required to do so is often out of reach of the community maintaining a particular language. Many domain specific languages remain stuck with naive implementations, as they are easy to write and simple to maintain for domain scientists. In this paper, we try to see how far one can push a naive implementation while remaining portable and not requiring expertise in compilers and runtime systems. We choose the R language, a dynamic language used in statistics, as the target of our experiment and adopt the simplest possible implementation strategy, one based on evaluation of abstract syntax trees. We build our interpreter on top of a Java virtual machine and use only facilities available to all Java programmers. We compare our results to other implementations of R.
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