宽松的求值和并行性

G. Tremblay , B. Malenfant
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引用次数: 2

摘要

在一篇同伴论文(Tremblay G.)中,宽松的评估既不是严格的,也不是懒惰的。计算机语言2000;26:43-66),我们证明了非严格的函数式语言并不一定是懒惰的。更准确地说,非严格函数式语言可以分为宽松语言和惰性语言,这两种类型都允许在严格函数式语言中不能直接使用的程序结构。在本文中,我们提出了三种计算策略(严格、宽松和懒惰)的并行模型,并检查了这些计算策略对可以从程序中提取的隐式并行性的影响。这些使用并行符号(π-微积分)表示的形式化语义,可以说明为什么宽松求值可以被视为更自然地并行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lenient evaluation and parallelism

In a companion paper (Tremblay G. Lenient evaluation is neither strict nor lazy. Computer languages 2000; 26:43–66.), we showed that non-strict functional languages were not necessarily lazy. More precisely, non-strict functional languages can be divided into lenient and lazy languages, both types allowing program constructions not directly available in strict functional languages. In this paper, we present parallel models of three evaluation strategies (strict, lenient, and lazy), along with an examination of the impact of these evaluation strategies on the implicit parallelism that can be extracted from programs. These formal semantics, expressed using a parallel notation (π-calculus), make it possible to show why lenient evaluation can be seen as more naturally parallel.

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