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OpenMP as an Efficient Method to Parallelize Code with Dense Synchronization

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dc.abstract.enIn recent years, adding new cores and new threads are main methods to add computational power. In line with this approach in this paper we analyze the efficiency of the parallel computational model with shared memory, when dense synchronization is required. As our experimental evaluation shows, contemporary CPUs assisted with OpenMP library perform well in case of such tasks. We also present evidence that OpenMP is easy to learn and use.
dc.affiliationUniwersytet Warszawski
dc.conference.countryPolska
dc.conference.datefinish2018-09-20
dc.conference.datestart2018-09-18
dc.conference.placePoznań
dc.conference.seriesBDAS 2018 Beyond Databases, Architectures and Structures, 14th International Conference, BDAS 2018
dc.conference.seriesBDAS 2018 Beyond Databases, Architectures and Structures, 14th International Conference, BDAS 2018
dc.contributor.authorBocian, Rafał
dc.contributor.authorPawłowska, Dominika
dc.contributor.authorStencel, Krzysztof
dc.contributor.authorWiśniewski, Piotr
dc.date.accessioned2024-01-25T15:49:38Z
dc.date.available2024-01-25T15:49:38Z
dc.date.issued2018
dc.description.financeNie dotyczy
dc.identifier.doi10.1007/978-3-319-99987-6_9
dc.identifier.urihttps://repozytorium.uw.edu.pl//handle/item/114909
dc.identifier.weblinkhttps://link.springer.com/chapter/10.1007/978-3-319-99987-6_9
dc.languageeng
dc.pbn.affiliationcomputer and information sciences
dc.relation.pages120–127
dc.rightsClosedAccess
dc.sciencecloudnosend
dc.titleOpenMP as an Efficient Method to Parallelize Code with Dense Synchronization
dc.typeJournalArticle
dspace.entity.typePublication