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CUsched: multiprogrammed workload scheduling on GPU architectures

Autor
Tanasic, I.; Gelado, I.; Cabezas, J.; Navarro, N.; Ramírez , A.; Valero, M.
Tipus d'activitat
Document cientificotècnic
Data
2013
Codi
UPC-DAC-RR-CAP-2013-7
Repositori
http://hdl.handle.net/2117/110728 Obrir en finestra nova
Resum
Graphic Processing Units (GPUs) are currently widely used in High Performance Computing (HPC) applications to speed-up the execution of massively-parallel codes. GPUs are well-suited for such HPC environments because applications share a common characteristic with the gaming codes GPUs were designed for: only one application is using the GPU at the same time. Although, minimal support for multi-programmed systems exist, modern GPUs do not allow resource sharing among different processes. This la...
Citació
Tanasic, I., Gelado, I., Cabezas, J., Navarro, N., Ramírez , A., Valero, M. "CUsched: multiprogrammed workload scheduling on GPU architectures". 2013.
Paraules clau
GPU, Graphic Processing Units, Scheduling
Grup de recerca
CAP - Grup de Computació d'Altes Prestacions

Participants

  • Tanasic, Ivan  (autor)
  • Gelado Fernandez, Isaac  (autor)
  • Cabezas, Javier  (autor)
  • Navarro, Nacho  (autor)
  • Ramírez Bellido, Alejandro  (autor)
  • Valero Cortes, Mateo  (autor)

Arxius