Leakage-aware real-time scheduling for maximal temperature minimization
ACM SIGBED Review - Special Issue on the Work-in-Progress (WIP) Session at the 2009 IEEE Real-Time Systems Symposium (RTSS)
Leakage conscious DVS scheduling for peak temperature minimization
Proceedings of the 16th Asia and South Pacific Design Automation Conference
Predictive Model-Based Thermal Management for Network Applications
Proceedings of the 2011 ACM/IEEE Seventh Symposium on Architectures for Networking and Communications Systems
Feedback thermal control of real-time systems on multicore processors
Proceedings of the tenth ACM international conference on Embedded software
Multi-core fixed priority DVS scheduling
ICA3PP'12 Proceedings of the 12th international conference on Algorithms and Architectures for Parallel Processing - Volume Part I
Enhancing multicore reliability through wear compensation in online assignment and scheduling
Proceedings of the Conference on Design, Automation and Test in Europe
Journal of Electronic Testing: Theory and Applications
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As the power density of modern electronic circuits increases dramatically, systems are prone to overheating. Thermal management has become a prominent issue in system design. This paper explores thermal-aware scheduling for sporadic real-time tasks to minimize the peak temperature in a homogeneous multicore system, in which heat might transfer among some cores. By deriving an ideally preferred speed for each core, we propose global scheduling algorithms which can exploit the flexibility of multicore platforms at low temperature. Compared with load-balancing strategies, the proposed algorithms can significantly reduce the peak temperature by up to $30$ $^\circ$C to $70$ $^\circ$C for simulated platforms.