OpenMP static TDG runtime implementation and its usage in heterogeneous computing

dc.contributor.author	Yu, Chenle
dc.contributor.author	Royuela Alcázar, Sara
dc.contributor.author	Quiñones, Eduardo
dc.date.accessioned	2020-10-30T11:37:43Z
dc.date.available	2020-10-30T11:37:43Z
dc.date.issued	2020-05
dc.identifier.citation	Yu, 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.uri	http://hdl.handle.net/2117/331013
dc.description.abstract	OpenMP 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.extent	2 p.
dc.language	en
dc.language.iso	eng
dc.publisher	Barcelona Supercomputing Center
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Spain
dc.subject	Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subject.lcsh	High performance computing
dc.subject.other	OpenMP
dc.subject.other	CUDA
dc.subject.other	CUDA graph
dc.title	OpenMP static TDG runtime implementation and its usage in heterogeneous computing
dc.type	Conference report
dc.subject.lemac	Càlcul intensiu (Informàtica)
dc.rights.access	Open Access
local.citation.startingPage	39
local.citation.endingPage	40

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