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Cited 2 time in webofscience Cited 3 time in scopus
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Scalable thread visualization for debugging data races in OpenMP programs

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dc.contributor.authorKim, Young-Joc-
dc.contributor.authorLim, Jae-Seon-
dc.contributor.authorJun, Yong-Kee-
dc.date.accessioned2022-12-27T07:33:46Z-
dc.date.available2022-12-27T07:33:46Z-
dc.date.issued2007-
dc.identifier.issn0302-9743-
dc.identifier.issn1611-3349-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/29071-
dc.description.abstractIt is important to debug unintended data races in OpenMP programs efficiently, because such programs are often complex and long-running. Previous tools for detecting the races does not provide any effective facility for understanding the complexity of threads involved in the reported races. This paper presents a thread visualization tool to present a partial order of threads executed in the traced programs with a scalable graph of abstract threads upon a three-dimensional cone. The scalable thread visualization is proved to be effective in debugging races using a set of synthetic programs.-
dc.language영어-
dc.language.isoENG-
dc.publisherSPRINGER-VERLAG BERLIN-
dc.titleScalable thread visualization for debugging data races in OpenMP programs-
dc.typeArticle-
dc.publisher.location독일-
dc.identifier.scopusid2-s2.0-38049003045-
dc.identifier.wosid000246397700027-
dc.identifier.bibliographicCitationADVANCES IN GRID AND PERVASIVE COMPUTING, PROCEEDINGS, v.4459, pp 310 - +-
dc.citation.titleADVANCES IN GRID AND PERVASIVE COMPUTING, PROCEEDINGS-
dc.citation.volume4459-
dc.citation.startPage310-
dc.citation.endPage+-
dc.type.docTypeProceedings Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.subject.keywordAuthorOpenMP programs-
dc.subject.keywordAuthordata race debugging-
dc.subject.keywordAuthorscalable thread visualization-
dc.subject.keywordAuthorthree-dimensional visualization-
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