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Auto-tuned OpenCL kernel co-execution in OmpSs for heterogeneous systems

Autor
Pérez, B.; Stafford, E.; Bosque, J.; Beivide, R.; Mateo, S.; Teruel, J.; Martorell, X.; Ayguade, E.
Tipus d'activitat
Article en revista
Revista
Journal of parallel and distributed computing
Data de publicació
2019-03-01
Volum
125
Pàgina inicial
45
Pàgina final
57
DOI
https://doi.org/10.1016/j.jpdc.2018.11.001 Obrir en finestra nova
Projecte finançador
Computación de Altas Prestaciones VII
Repositori
http://hdl.handle.net/2117/125871 Obrir en finestra nova
URL
https://www.sciencedirect.com/science/article/pii/S0743731518308189?via%3Dihub Obrir en finestra nova
Resum
The emergence of heterogeneous systems has been very notable recently. The nodes of the most powerful computers integrate several compute accelerators, like GPUs. Profiting from such node configurations is not a trivial endeavour. OmpSs is a framework for task based parallel applications, that allows the execution of OpenCl kernels on different compute devices. However, it does not support the co-execution of a single kernel on several devices. This paper presents an extension of OmpSs that rise...
Citació
Pérez, B., Stafford, E., Bosque, J., Beivide, R., Mateo, S., Teruel, J., Martorell, X., Ayguade, E. Auto-tuned OpenCL kernel co-execution in OmpSs for heterogeneous systems. "Journal of parallel and distributed computing", 1 Març 2019, vol. 125, p. 45-57.
Paraules clau
Co-execution, Heterogeneous systems, OmpSs programming model, OpenCL
Grup de recerca
CAP - Grup de Computació d'Altes Prestacions

Participants

  • Pérez, Borja  (autor)
  • Stafford, Esteban  (autor)
  • Bosque Orero, José Luis  (autor)
  • Beivide Palacio, Ramon  (autor)
  • Mateo Bellido, Sergi  (autor)
  • Teruel Garcia, Javier  (autor)
  • Martorell Bofill, Xavier  (autor)
  • Ayguade Parra, Eduard  (autor)

Arxius