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Authors: Serrano, Manuel; Grande, Johan;
Abstract

This article presents several independent optimizations of operations on monitors. They do not involve the low-level mutual exclusion mechanisms but rather their integration with and usage within higher-level constructs of the lan- guage. The paper reports acceleration of Hop, the Web pro- gramming language for which these optimizations have been created. The paper shows that other languages such as C and Java would also benefit from these optimizations.

Cet article présente trois techniques pour utiliser plus efficacement les moniteurs dans les langages de programmation.

Country
France
Keywords

[INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL]

  • BIP!
    Impact byBIP!
    citations
    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).
    1
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
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!
1
Average
Average
Average
Green