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A Fast Scheme to Investigate Thermal-Aware Scheduling Policy for Multicore Processors

  • Liqiang He
  • Cha Narisu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5737)

Abstract

With more cores integrated into one single chip, the overall power consumption from the multiple concurrent running programs increases dramatically in a CMP processor which causes the thermal problem becomes more and more severer than the traditional superscalar processor. To leverage the thermal problem of a multicore processor, two kinds of orthogonal technique can be exploited. One is the commonly used Dynamic Thermal Management technique. The other is the thermal aware thread scheduling policy. For the latter one, some general ideas have been proposed by academic and industry researchers. The difficult to investigate the effectiveness of a thread scheduling policy is the huge search space coming from the different possible mapping combinations for a given multi-program workload. In this paper, we extend a simple thermal model originally used in a single core processor to a multicore environment and propose a fast scheme to search or compare the thermal effectiveness of different scheduling policies using the new model. The experiment results show that the proposed scheme can predict the thermal characteristics of the different scheduling policies with a reasonable accuracy and help researchers to fast investigate the performances of the policies without detailed time consuming simulations.

Keywords

Schedule Policy Thermal Model Mapping Scheme Thermal Problem Multicore Processor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Bautista, D., Sahuquillo, J., Hassan, H., Petit, S., Duato, J.: A Simple Power-Aware Scheduling for Multicore Systems when Running Real-Time Applications. In: 22rd IEEE International Symposium on Parallel and Distributed Processing, pp. 1–7. IEEE Press, Los Alamitos (2008)CrossRefGoogle Scholar
  2. 2.
    Coskun, A.K., Rosing, T.S., Whisnant, K.: Temperature Aware Task Scheduling in MPSoCs. In: Design Automation and Test in Europe (DATE), pp. 1659–1664 (2007)Google Scholar
  3. 3.
    Choi, J., Cher, C., Franke, H.: Thermal-aware Task Scheduling at the System Software Level. In: IEEE International Symposium on Low Power Electronics and Design, pp. 213–218 (2007)Google Scholar
  4. 4.
    Kursun, E., Cher, C.-Y., Buyuktosunoglu, A., Bose, P.: Investigating the Effects of Task Scheduling on Thermal Behaviour. In: 3rd Workshop on Temperature-Aware Computer System, conjunction with ISCA-33 (2006)Google Scholar
  5. 5.
    Stavrou, K., Trancoso, P.: Thermal-aware scheduling for future chip multiprocessors. J. EURASIP Embedded Syst. (2007)Google Scholar
  6. 6.
    Han, Y., Koren, I., Moritz, C.A.: Temperature Aware Floorpalnning. In: 2nd Workshop on Temperature-Aware Computer System, conjunction with ISCA-32 (2005)Google Scholar
  7. 7.
    Michaud, P., Sazeides, Y., Seznec, A., Constantinou, T., Fetis, D.: An Analytical Model of Temperature in Microprocessors. Research report RR-5744, INRIA (November 2005)Google Scholar
  8. 8.
    McLellan, E.J., Webb, D.A.: The Alpha 21264 Microprocessor Architecture. In: Proc. of the International Conference on Computer Design (1998)Google Scholar
  9. 9.
    Chen, J., John, L.K.: Energy-Aware Application Scheduling on a Heterogeneous Multi-core System. In: IEEE International Symposium on Workload Characterization (2008)Google Scholar
  10. 10.
    Zhou, X., Xu, Y., Du, Y., Zhang, Y., Yang, J.: Thermal Management for 3D Processors via Task Scheduling. In: 37th International Conference on Parallel Processing, pp. 115–122 (2008)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Liqiang He
    • 1
  • Cha Narisu
    • 1
  1. 1.College of Computer ScienceInner Mongolia UniversityHohhotP.R. China

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