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.
@article{arxiv.0710.4660,
title = {Thermal-Aware Task Allocation and Scheduling for Embedded Systems},
author = {W. -L. Hung and Y. Xie and N. Vijaykrishnan and M. Kandemir and M. J. Irwin},
journal= {arXiv preprint arXiv:0710.4660},
year = {2011}
}
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