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Theory and Practice of Logic Programming
Article . 2014 . Peer-reviewed
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https://dx.doi.org/10.1184/r1/...
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Other literature type . 1984
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Article . 2014
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A Linear Logic Programming Language for Concurrent Programming over Graph Structures

A linear logic programming language for concurrent programming over graph structures
Authors: Cruz, Flavio; Rocha, Ricardo; Goldstein, Seth Copen; Pfenning, Frank;

A Linear Logic Programming Language for Concurrent Programming over Graph Structures

Abstract

AbstractWe have designed a new logic programming language called LM (Linear Meld) for programming graph-based algorithms in a declarative fashion. Our language is based on linear logic, an expressive logical system where logical facts can be consumed. Because LM integrates both classical and linear logic, LM tends to be more expressive than other logic programming languages. LM programs are naturally concurrent because facts are partitioned by nodes of a graph data structure. Computation is performed at the node level while communication happens between connected nodes. In this paper, we present the syntax and operational semantics of our language and illustrate its use through a number of examples.

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Keywords

graphs, FOS: Computer and information sciences, Logic in computer science, Other programming paradigms (object-oriented, sequential, concurrent, automatic, etc.), Data structures, Computer Science - Programming Languages, Theory of programming languages, language design, Logic programming, concurrent programming, linear logic, 89999 Information and Computing Sciences not elsewhere classified, semantics, Programming Languages (cs.PL)

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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!
9
Average
Top 10%
Top 10%
Green
bronze