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dc.contributor.authorAkgün, Özgür
dc.contributor.authorHoffmann, Ruth
dc.contributor.authorSarkar, Susmit
dc.date.accessioned2018-09-03T09:30:06Z
dc.date.available2018-09-03T09:30:06Z
dc.date.issued2018-08-27
dc.identifier255666320
dc.identifier8f516aac-022d-4bcd-b34e-5f63976bdd78
dc.identifier.citationAkgün , Ö , Hoffmann , R & Sarkar , S 2018 , Memory consistency models using constraints . in The Seventeenth Workshop on Constraint Modelling and Reformulation (ModRef 2018), Proceedings . 24th International Conference on Principles and Practice of Constraint Programming (CP 2018) , Lille , France , 27/08/18 .en
dc.identifier.citationconferenceen
dc.identifier.otherArXiv: http://arxiv.org/abs/1808.09870v1
dc.identifier.otherORCID: /0000-0002-1011-5894/work/48131988
dc.identifier.otherORCID: /0000-0001-9519-938X/work/48131987
dc.identifier.otherORCID: /0000-0002-4259-9213/work/125727593
dc.identifier.urihttps://hdl.handle.net/10023/15944
dc.description.abstractMemory consistency models (MCMs) are at the heart of concurrent programming. They represent the behaviour of concurrent programs at the chip level. To test these models small program snippets called litmus test are generated, which show allowed or forbidden behaviour of different MCMs. This paper is showcasing the use of constraint programming to automate the generation and testing of litmus tests for memory consistency models. We produce a few exemplary case studies for two MCMs, namely Sequential Consistency and Total Store Order. These studies demonstrate the flexibility of constrains programming in this context and lay foundation to the direct verification of MCMs against the software facing cache coherence protocols.
dc.format.extent16
dc.format.extent191320
dc.language.isoeng
dc.relation.ispartofThe Seventeenth Workshop on Constraint Modelling and Reformulation (ModRef 2018), Proceedingsen
dc.subjectMemory consistencyen
dc.subjectConcurrent programmingen
dc.subjectLitmus testsen
dc.subjectConstraints programmingen
dc.subjectModellingen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectDASen
dc.subjectMCPen
dc.subject.lccQA75en
dc.titleMemory consistency models using constraintsen
dc.typeConference itemen
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen
dc.contributor.institutionUniversity of St Andrews. Centre for Interdisciplinary Research in Computational Algebraen
dc.identifier.urlhttps://modref2018.github.io/en


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