Thermal-Aware Task Allocation and Scheduling for Embedded Systems

  • Authors:
  • W-L. Hung;Y. Xie;N. Vijaykrishnan;M. Kandemir;M. J. Irwin

  • Affiliations:
  • The Pennsylvania State University, University Park;The Pennsylvania State University, University Park;The Pennsylvania State University, University Park;The Pennsylvania State University, University Park;The Pennsylvania State University, University Park

  • Venue:
  • Proceedings of the conference on Design, Automation and Test in Europe - Volume 2
  • Year:
  • 2005

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Abstract

Temperature affects not only the reliability but also the performance, power, and cost of the embedded system. This paper proposes a thermal-aware task allocation and scheduling algorithm for embedded systems. The algorithm is used as a sub-routine for hardware/software co-synthesis to reduce the peak temperature and achieve a thermally even distribution while meeting real time constraints. The paper investigates both power-aware and thermal-aware approaches to task allocation and scheduling. The experimental results show that the thermal-aware approach outperforms the power-aware schemes in terms of maximal and average temperature reductions. To the best of our knowledge, this is the first task allocation and scheduling algorithm that takes temperature into consideration.