Pierre Clairambault - Bounding linear head reduction and visible interaction through skeletons

lmcs:1566 - Logical Methods in Computer Science, June 10, 2015, Volume 11, Issue 2 - https://doi.org/10.2168/LMCS-11(2:6)2015
Bounding linear head reduction and visible interaction through skeletonsArticle

Authors: Pierre Clairambault

    In this paper, we study the complexity of execution in higher-order programming languages. Our study has two facets: on the one hand we give an upper bound to the length of interactions between bounded P-visible strategies in Hyland-Ong game semantics. This result covers models of programming languages with access to computational effects like non-determinism, state or control operators, but its semantic formulation causes a loose connection to syntax. On the other hand we give a syntactic counterpart of our semantic study: a non-elementary upper bound to the length of the linear head reduction sequence (a low-level notion of reduction, close to the actual implementation of the reduction of higher-order programs by abstract machines) of simply-typed lambda-terms. In both cases our upper bounds are proved optimal by giving matching lower bounds. These two results, although different in scope, are proved using the same method: we introduce a simple reduction on finite trees of natural numbers, hereby called interaction skeletons. We study this reduction and give upper bounds to its complexity. We then apply this study by giving two simulation results: a semantic one measuring progress in game-theoretic interaction via interaction skeletons, and a syntactic one establishing a correspondence between linear head reduction of terms satisfying a locality condition called local scope and the reduction of interaction skeletons. This result is then generalized to arbitrary terms by a local scopization transformation.

    Volume: Volume 11, Issue 2
    Published on: June 10, 2015
    Submitted on: January 28, 2014
    Keywords: Computer Science - Logic in Computer Science
      Source : OpenAIRE Graph
    • Expanding Logical Ideas for Complexity Analysis; Funder: French National Research Agency (ANR); Code: ANR-14-CE25-0005

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