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Electronic Notes in Theoretical Computer Science
Article . 1998 . Peer-reviewed
License: CC BY NC ND
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Electronic Notes in Theoretical Computer Science
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Electronic Notes in Theoretical Computer Science
Article . 1998
License: CC BY NC ND
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http://dx.doi.org/10.1016/S157...
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Compiling Join-Patterns1 1This work is partly supported by the ESPRIT CONFER-2 WG-21836

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 1998 English Publisher:Elsevier BVJournal:Electronic Notes in Theoretical Computer Science, volume 16, pages 205-224 (issn: 1571-0661, Copyright policy )
Authors: Le Fessant, Fabrice; Maranget, Luc;

doi: 10.1016/s1571-0661(04)00143-4

Compiling Join-Patterns1 1This work is partly supported by the ESPRIT CONFER-2 WG-21836

Abstract

AbstractThe join-calculus is both a name passing calculus and a core language for concurrent and distributed programming. An essential part of its implementation is the compilation of join-patterns. Join-patterns define new channels and all the synchronizations they take part to at the same time. Relying on the experience based on our two implementations, we study the translation of join-patterns into deterministic finite-state automata as well as some related optimizations.

Keywords

Theoretical Computer Science, Computer Science(all)

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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!
13
Average
Top 10%
Average
gold