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dc.contributor.authorYu, Chenle
dc.contributor.authorRoyuela Alcázar, Sara
dc.contributor.authorQuiñones, Eduardo
dc.date.accessioned2020-10-30T11:37:43Z
dc.date.available2020-10-30T11:37:43Z
dc.date.issued2020-05
dc.identifier.citationYu, C.; Royuela Alcázar, S.; Quiñones, E. OpenMP static TDG runtime implementation and its usage in heterogeneous computing. A: . Barcelona Supercomputing Center, 2020, p. 39-40.
dc.identifier.urihttp://hdl.handle.net/2117/331013
dc.description.abstractOpenMP being the standard to use in shared memory parallel programming, it offers the possibility to parallelize sequential program with accelerators by using target directive. However, CUDA Graph as a new, efficient feature is not supported yet. In this work, we present an automatic transformation of OpenMP TDG to CUDA Graph, increasing the programmability of the latter.
dc.format.extent2 p.
dc.languageen
dc.language.isoeng
dc.publisherBarcelona Supercomputing Center
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subject.lcshHigh performance computing
dc.subject.otherOpenMP
dc.subject.otherCUDA
dc.subject.otherCUDA graph
dc.titleOpenMP static TDG runtime implementation and its usage in heterogeneous computing
dc.typeConference report
dc.subject.lemacCàlcul intensiu (Informàtica)
dc.rights.accessOpen Access
local.citation.startingPage39
local.citation.endingPage40


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