The Alpha 21264 Microprocessor Architecture
ICCD '98 Proceedings of the International Conference on Computer Design
Temperature aware task scheduling in MPSoCs
Proceedings of the conference on Design, automation and test in Europe
Thermal-aware task scheduling at the system software level
ISLPED '07 Proceedings of the 2007 international symposium on Low power electronics and design
Thermal-aware scheduling for future chip multiprocessors
EURASIP Journal on Embedded Systems
Thermal Management for 3D Processors via Task Scheduling
ICPP '08 Proceedings of the 2008 37th International Conference on Parallel Processing
Analysis of integrated circuits thermal dynamics with point heating time
Microelectronics Journal
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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.