Leakage conscious DVS scheduling for peak temperature minimization
Proceedings of the 16th Asia and South Pacific Design Automation Conference
Throughput maximization for periodic real-time systems under the maximal temperature constraint
Proceedings of the 48th Design Automation Conference
Feedback thermal control of real-time systems on multicore processors
Proceedings of the tenth ACM international conference on Embedded software
Proceedings of the 20th International Conference on Real-Time and Network Systems
On the fundamentals of leakage aware real-time DVS scheduling for peak temperature minimization
Journal of Systems Architecture: the EUROMICRO Journal
Thermal-aware energy minimization for real-time scheduling on multi-core systems
ACM SIGBED Review - Special Issue on the Work-in-Progress (WiP) session of the 33rd IEEE Real-Time Systems Symposium (RTSS'12)
Throughput maximization for periodic real-time systems under the maximal temperature constraint
ACM Transactions on Embedded Computing Systems (TECS) - Special Section ESFH'12, ESTIMedia'11 and Regular Papers
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As semiconductor technology continues to evolve, the chip temperature increases rapidly due to the exponentially growing power consumption. In the meantime, the high chip temperature increases the leakage power, which is becoming the dominate part in the overall power consumption for sub-micron IC circuits. A power/thermal-aware computing technique becomes ineffective if this temperature/leakage relation is not properly addressed in the sub-micron domain.In this paper, we study the feasibility problem for scheduling a hard real-time periodic task set under the peak temperature constraint, with the interaction between temperature and leakage being taken into consideration. Three analysis techniques are developed to guarantee the schedulability of periodic real-time task sets under the maximal temperature constraint. Our experiments, based on technical parameters from a processor using the 65nm technology, show that the feasibility analysis without considering the interactions between temperature and leakage can be significantly overoptimistic.