lcc优化对静态作用域LISP解释器性能的影响

R. Beckmann, Kay-Ulrich Felgentreu
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引用次数: 0

摘要

低成本调用优化是作为一种通用的方法来优化应用静态作用域语言的浅绑定实现中的函数调用。lcc优化的基本思想是避免为大量函数调用保存过时的环境,从而超出尾递归和覆盖尾递归调用的通常优化。本文描述了如何将这种新技术应用于微型计算机的便携式静态作用域LISP解释器(称为LCINT)的实现。在基准测试中,我们测量了lcc优化对LCINT性能的影响。结果表明,这种技术对于存储相当有限的小型系统特别有价值。虽然有些结果完全符合我们的预期,但其他结果却相当令人惊讶,并使我们得出某些结论,以供进一步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The impact of the LCC-optimization on the performance of a static scope LISP interpreter
The Low Cost Call - Optimization was introduced as a general approach to the optimization of function calls in shallow binding implementations of applicative static scope languages. The basic idea of the LCC-optimization is to avoid saving obsolete environments for a large class of function calls, thus exceeding the usual optimization of tailrecursive and covered tailrecursive calls. This paper describes how the new technique has been applied in the implementation of a portable static scope LISP interpreter for microcomputers, called LCINT. In a benchmark test we measure the impact of the LCC-optimization on the performance of LCINT. The results show that this technique is particularly valuable for small systems with a rather limited storage. Whereas some of the results fully meet our expectations, others are rather surprising and lead us to certain conclusions for further research.
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