Foundations of strong call by need

Author:

Balabonski Thibaut1,Barenbaum Pablo2,Bonelli Eduardo3,Kesner Delia4

Affiliation:

1. LRI, France / University of Paris-Sud, France / CNRS, France / University of Paris-Saclay, France

2. University of Buenos Aires, Argentina / IRIF, France / CNRS, France / University of Paris Diderot, France

3. CONICET, Argentina / Universidad Nacional de Quilmes, Argentina / Stevens Institute of Technology, USA

4. IRIF, France / CNRS, France / University of Paris Diderot, France

Abstract

We present a call-by-need strategy for computing strong normal forms of open terms (reduction is admitted inside the body of abstractions and substitutions, and the terms may contain free variables), which guarantees that arguments are only evaluated when needed and at most once. The strategy is shown to be complete with respect to β -reduction to strong normal form. The proof of completeness relies on two key tools: (1) the definition of a strong call-by-need calculus where reduction may be performed inside any context, and (2) the use of non-idempotent intersection types. More precisely, terms admitting a β -normal form in pure lambda calculus are typable, typability implies (weak) normalisation in the strong call-by-need calculus, and weak normalisation in the strong call-by-need calculus implies normalisation in the strong call-by-need strategy. Our (strong) call-by-need strategy is also shown to be conservative over the standard (weak) call-by-need.

Publisher

Association for Computing Machinery (ACM)

Subject

Safety, Risk, Reliability and Quality,Software

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2. Sharing a Perspective on the -Calculus;Proceedings of the 2023 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software;2023-10-18

3. A strong call-by-need calculus;Logical Methods in Computer Science;2023-03-24

4. A simple and efficient implementation of strong call by need by an abstract machine;Proceedings of the ACM on Programming Languages;2022-08-29

5. Quantitative Weak Linearisation;Lecture Notes in Computer Science;2022

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