自动设计和实现语言数据类型

S. Shebs, R. Kessler
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引用次数: 10

摘要

语言实现需要自动化。尽管编译器的构造长期以来一直由解析器生成器和其他工具辅助,但解释器和运行时系统一直被忽视,尽管它们构成了Lisp、Prolog和Smalltalk等语言的重要组成部分。在运行时系统的几个部分中,基本数据类型定义为实现者提供了一些最困难的决策。类型识别方案的有效性、存储分配和虚拟内存之间的交互以及一般的时间/空间权衡都是没有简单解决方案的问题——必须针对每个实现对它们进行评估。一种描述实现的形式化方法已经被开发出来,并在原始数据结构的原型设计器中使用。设计师是启发式规则的集合,这些规则产生了具有不同特征的多种设计。从这些设计中得到的机器代码的成本评估产生性能公式,然后用于估计设计对基准程序的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic design and implementation of language data types
Language implementation is in need of automation. Although compiler construction has long been aided by parser generators and other tools, interpreters and runtime systems have been neglected, even though they constitute a large component of languages like Lisp, Prolog, and Smalltalk. Of the several parts of a runtime system, the primitive datatype definitions present some of the most difficult decisions for the implementor. The effectiveness of type discrimination schemes, interactions between storage allocation and virtual memory, and general time/space tradeoffs are issues that have no simple resolution-they must be evaluated for each implementation. A formalism for describing implementations has been developed and used in a prototype designer of primitive data structures. The designer is a collection of heuristic rules that produce multiple designs of differing characteristics. Cost evaluation on machine code derived from those designs yields performance formulas, which are then used to estimate the designs' effect on benchmark programs.
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