From Capabilities to Regions: Enabling Efficient Compilation of Lexical Effect Handlers

IF 2.2 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Marius Müller, Philipp Schuster, Jonathan Lindegaard Starup, Klaus Ostermann, Jonathan Immanuel Brachthäuser
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Abstract

Effect handlers are a high-level abstraction that enables programmers to use effects in a structured way. They have gained a lot of popularity within academia and subsequently also in industry. However, the abstraction often comes with a significant runtime cost and there has been intensive research recently on how to reduce this price. A promising approach in this regard is to implement effect handlers using a CPS translation and to provide sufficient information about the nesting of handlers. With this information the CPS translation can decide how effects have to be lifted through handlers, i.e., which handlers need to be skipped, in order to handle the effect at the correct place. A structured way to make this information available is to use a calculus with a region system and explicit subregion evidence. Such calculi, however, are quite verbose, which makes them impractical to use as a source-level language. We present a method to infer the lifting information for a calculus underlying a source-level language. This calculus uses second-class capabilities for the safe use of effects. To do so, we define a typed translation to a calculus with regions and evidence and we show that this lift-inference translation is typability- and semantics-preserving. On the one hand, this exposes the precise relation between the second-class property and the structure given by regions. On the other hand, it closes a gap in a compiler pipeline enabling efficient compilation of the source-level language. We have implemented lift inference in this compiler pipeline and conducted benchmarks which indicate that the approach is indeed working.
从功能到区域:启用词法效果处理程序的有效编译
效果处理程序是一种高级抽象,它使程序员能够以结构化的方式使用效果。它们在学术界和随后的工业界都很受欢迎。然而,抽象通常伴随着巨大的运行成本,最近人们对如何降低这一成本进行了深入的研究。在这方面,一个很有前途的方法是使用CPS转换实现效果处理程序,并提供有关处理程序嵌套的充分信息。有了这些信息,CPS转换可以决定如何通过处理程序提升效果,也就是说,为了在正确的位置处理效果,需要跳过哪些处理程序。使这些信息可用的结构化方法是使用具有区域系统和显式子区域证据的演算。然而,这样的演算是相当冗长的,这使得它们不适合作为源代码级语言使用。我们提出了一种方法来推断一个微积分的提升信息底层的源级语言。这种演算使用二级能力来安全使用效果。为此,我们定义了一个带区域和证据的微积分的类型翻译,并证明了这种提升推理翻译是可类型化和语义保留的。这一方面揭示了二级属性与区域给出的结构之间的精确关系。另一方面,它填补了编译器管道中的空白,从而可以有效地编译源级语言。我们已经在这个编译器管道中实现了提升推理,并进行了基准测试,表明该方法确实有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Proceedings of the ACM on Programming Languages
Proceedings of the ACM on Programming Languages Engineering-Safety, Risk, Reliability and Quality
CiteScore
5.20
自引率
22.20%
发文量
192
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