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Proceedings of the ACM on Programming Languages
Article . 2020 . Peer-reviewed
License: CC BY
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DBLP
Article . 2020
Data sources: DBLP
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Computation focusing

Authors: Nick Rioux; Steve Zdancewic;

Computation focusing

Abstract

Focusing is a technique from proof theory that exploits type information to prune inessential nondeterminism from proof search procedures. Viewed through the lens of the Curry-Howard correspondence, a focused typing derivation yields terms in normal form. This paper explores how to exploit focusing for reasoning about contextual equivalences and full abstraction. We present a focused polymorphic call-by-push-value calculus and prove a computational completeness result: for every well-typed term, there exists a focused term that is βη-equivalent to it. This completeness result yields a powerful way to refine the context lemmas for establishing contextual equivalences, cutting down the set that must be considered to just focused contexts. The paper demonstrates the application of focusing to establish program equivalences, including free theorems. It also uses focusing to prove full abstraction of a translation of the pure, total call-by-push-value language into a language with divergence and simple effect types, yielding a novel solution to a simple-to-state, but hitherto difficult to solve problem.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
Published in a Diamond OA journal