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https://dx.doi.org/10.48550/ar...
Article . 2021
License: CC BY
Data sources: Datacite
DBLP
Conference object . 2021
Data sources: DBLP
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Minimal Translations from Synchronous Communication to Synchronizing Locks

Authors: Manfred Schmidt-Schauß; David Sabel;

Minimal Translations from Synchronous Communication to Synchronizing Locks

Abstract

In order to understand the relative expressive power of larger concurrent programming languages, we analyze translations of small process calculi which model the communication and synchronization of concurrent processes. The source language SYNCSIMPLE is a minimalistic model for message passing concurrency while the target language LOCKSIMPLE is a minimalistic model for shared memory concurrency. The former is a calculus with synchronous communication of processes, while the latter has synchronizing mutable locations - called locks - that behave similarly to binary semaphores. The criteria for correctness of translations is that they preserve and reflect may-termination and must-termination of the processes. We show that there is no correct compositional translation from SYNCSIMPLE to LOCKSIMPLE that uses one or two locks, independent from the initialisation of the locks. We also show that there is a correct translation that uses three locks. Also variants of the locks are taken into account with different blocking behavior.

In Proceedings EXPRESS/SOS 2021, arXiv:2108.09624. Author version at 2107.14651

Keywords

FOS: Computer and information sciences, Computer Science - Logic in Computer Science, D.3.1, F.3.2; F.1.2; D.3.1, F.3.2, F.1.2, Logic in Computer Science (cs.LO)

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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!
0
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