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Optimal task assignment in multithreaded processors: a statistical approach

Autor
Cakarevic, V.; Radojkovic, P.; Moreto, M.; Verdu, J.; Pajuelo, M.A.; Cazorla, F. J.; Nemirovsky, M.; Valero, M.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
17th International Conference on Architectural Support for Programming Languages and Operating Systems
Any de l'edició
2012
Data de presentació
2012
Llibre d'actes
ASPLOS'12: Proceedings of the seventeenth international conference on Architectural Support for Programming Languages and Operating Systems
Pàgina inicial
235
Pàgina final
248
DOI
https://doi.org/10.1145/2150976.2151002 Obrir en finestra nova
URL
http://dl.acm.org/citation.cfm?id=2151002 Obrir en finestra nova
Resum
The introduction of massively multithreaded (MMT) processors, comprised of a large number of cores with many shared resources, has made task scheduling, in particular task to hardware thread assignment, one of the most promising ways to improve system performance. However, finding an optimal task assignment for a workload running on MMT processors is an NP-complete problem. Due to the fact that the performance of the best possible task assignment is unknown, the room for improvement of current t...
Paraules clau
Extreme value theory, Multithreading, Scheduling, Statistical estimation, Task assignment
Grup de recerca
CAP - Grup de Computació d'Altes Prestacions
VIRTUOS - Virtualisation and Operating Systems

Participants