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A Diamond Machine for Strong Evaluation

  • Universidad Nacional de Quilmes
  • Universidad de Buenos Aires

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Abstract machines for strong evaluation of the λ -calculus enter into arguments and have a set of transitions for backtracking out of an evaluated argument. We study a new abstract machine which avoids backtracking by splitting the run of the machine in smaller jobs, one for argument, and that jumps directly to the next job once one is finished. Usually, machines are also deterministic and implement deterministic strategies. Here we weaken this aspect and consider a light form of non-determinism, namely the diamond property, for both the machine and the strategy. For the machine, this introduces a modular management of jobs, parametric in a scheduling policy. We then show how to obtain various strategies, among which leftmost-outermost evaluation, by instantiating in different ways the scheduling policy.

Original languageEnglish
Title of host publicationProgramming Languages and Systems - 21st Asian Symposium, APLAS 2023, Proceedings
EditorsChung-Kil Hur
PublisherSpringer Science and Business Media Deutschland GmbH
Pages69-90
Number of pages22
ISBN (Print)9789819983100
DOIs
Publication statusPublished - 1 Jan 2023
Event21st Asian Symposium on Programming Languages and Systems, APLAS 2023 - Taipei, Taiwan, Province of China
Duration: 26 Nov 202329 Nov 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14405 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21st Asian Symposium on Programming Languages and Systems, APLAS 2023
Country/TerritoryTaiwan, Province of China
CityTaipei
Period26/11/2329/11/23

Keywords

  • Lambda calculus
  • abstract machines
  • strong evaluation

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