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Thermal Influence on the Energy Efficiency of Workload Consolidation in Many-Core Architecture

Fredric Hällis, Simon Holmbacka, Wictor Lund, Robert Slotte, Sébastien Lafond, Johan Lilius, Thermal Influence on the Energy Efficiency of Workload Consolidation in Many-Core Architecture. In: Raffaele Bolla, Franco Davoli, Phuoc Tran-Gia, Tuan Trinh Anh (Eds.), Proceedings of the 24th Tyrrhenian International Workshop on Digital Communications, 1–6, IEEE, 2013.

http://dx.doi.org/10.1109/TIWDC.2013.6664218

Abstract:

Webserver farms and datacenters currently
use workload consolidation to match the dynamic workload with the available resources since switching off unused machines has been shown to save energy. The workload is placed on the active servers until the servers are saturated. The idea of workload consolidation can be brought also to chip level by the OS scheduler to pack as much workload to as few cores as possible in a manycore system. In this case all idle cores in the system are placed in a sleep state, and are woken up on-demand. Due to the relationship between static power dissipation and temperature, this paper investigates the thermal influence on the energy efficiency of chip level workload consolidation and its potential impact on the scheduling decisions.
This work lay down the foundation for the development of a model for energy efficient OS scheduling for manycore processors taking into account external factors such as ambient and core level temperatures.

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BibTeX entry:

@INPROCEEDINGS{inpHxHoLuSlLaLi13a,
  title = {Thermal Influence on the Energy Efficiency of Workload Consolidation in Many-Core Architecture},
  booktitle = {Proceedings of the 24th Tyrrhenian International Workshop on Digital Communications},
  author = {Hällis, Fredric and Holmbacka, Simon and Lund, Wictor and Slotte, Robert and Lafond, Sébastien and Lilius, Johan},
  editor = {Bolla, Raffaele and Davoli, Franco and Tran-Gia, Phuoc and Anh, Tuan Trinh},
  publisher = {IEEE},
  pages = {1–6},
  year = {2013},
}

Belongs to TUCS Research Unit(s): Embedded Systems Laboratory (ESLAB)

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