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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