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Research Collection
Report . 1993
License: http://rightsstatements.org/page/InC-NC/1.0/
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ETH Zürich Research Collection
Report . 1993
Data sources: Datacite
https://dx.doi.org/10.3929/eth...
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Conjunctive predicate transformers for reasoning about concurrent computation

descriptionPublicationkeyboard_double_arrow_right Report , Other literature type 01 Jan 1993Embargo end date: 10 Jun 2017 English Publisher:ETH Zurich, Department of Computer Science
Authors: Chandy, K. Mani; Sanders, Beverly A.;

doi: 10.3929/ethz-a-000900473

handle: 20.500.11850/69228

Conjunctive predicate transformers for reasoning about concurrent computation

Abstract

In this paper we propose a calculus for reasoning about concurrent programs inspired by the wp calculus for reasoning about sequential programs. We suggest predicate transformers for reasoning about progress properties and for deducing properties obtained by parallel composition. The paper presents theorems about the predicate transformers and suggests how they can be used in program design. Familiarity with the wp calculus is assumed.

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Keywords

Data processing, computer science, PARALLELVERARBEITUNG + NEBENLÄUFIGKEIT (BETRIEBSSYSTEME); SCHLUSSVERFAHREN + BEWEISTHEORIE (MATHEMATISCHE LOGIK); PRÄDIKATENLOGIK (MATHEMATISCHE LOGIK); VERTEILTE PROGRAMMIERUNG + PARALLELE PROGRAMMIERUNG (PROGRAMMIERMETHODEN); INFERENCE SEARCH + PROOF THEORY (MATHEMATICAL LOGIC); PREDICATE LOGIC (MATHEMATICAL LOGIC); PARALLEL PROCESSING + CONCURRENCY (OPERATING SYSTEMS); CONCURRENT PROGRAMMING + DISTRIBUTED PROGRAMMING + PARALLEL PROGRAMMING (PROGRAMMING METHODS), info:eu-repo/classification/ddc/004

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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!
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