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dc.contributor.authorPinho, Luis Miguel
dc.contributor.authorRoyuela Alcázar, Sara
dc.contributor.authorQuiñones, Eduardo
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2021-07-13T12:06:06Z
dc.date.available2021-07-13T12:06:06Z
dc.date.issued2021
dc.identifier.citationPinho, L.M.; Royuela Alcázar, S.; Quiñones, E. Real-time Issues in the Ada Parallel Model with OpenMP. "ACM SIGAda Ada Letters", 2021, vol. 40, núm. 2, p. 96-102.
dc.identifier.issn1094-3641
dc.identifier.urihttp://hdl.handle.net/2117/349202
dc.description.abstractThe current proposal for the next revision of the Ada language considers the possibility to map the language parallel features to an underlying OpenMP runtime. As previously presented, and discussed in previous workshops, the works on fine-grain parallelism in Ada map well to the OpenMP tasking model for parallelism. Nevertheless, and although the general model of integration, and the semantic constructs are already reflected in the proposed revision of the standard, the integration of these new features with the Real-Time Systems Annex of Ada is still not complete. This paper presents an overview of what is supported and the still open issues.
dc.description.sponsorshipThis work was supported by the Spanish Ministry of Science and Innovation under contract TIN2015-65316-P and by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreements No 780622 and No 871669.
dc.format.extent7 p.
dc.language.isoeng
dc.publisherAssociation for Computing Machinery
dc.subjectÀrees temàtiques de la UPC::Informàtica::Llenguatges de programació
dc.subject.lcshReal-time safety critical systems
dc.subject.lcshHigh performance computing
dc.subject.lcshEmbedded systems (Computer systems)
dc.subject.otherAda Parallel Model
dc.subject.otherOpenMP
dc.subject.otherReal-time
dc.titleReal-time Issues in the Ada Parallel Model with OpenMP
dc.typeArticle
dc.subject.lemacOpenMP (Interfície de programació d'aplicacions)
dc.identifier.doi10.1145/3463478.3463491
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://dl.acm.org/doi/10.1145/3463478.3463491
dc.rights.accessOpen Access
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/780622/EU/Edge and CLoud Computation: A Highly Distributed Software Architecture for Big Data AnalyticS/CLASS
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/871669/EU/A Model-driven development framework for highly Parallel and EneRgy-Efficient computation supporting multi-criteria optimisation/AMPERE
local.citation.publicationNameACM SIGAda Ada Letters
local.citation.volume40
local.citation.number2
local.citation.startingPage96
local.citation.endingPage102


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