An task scheduling algorithm of real-time leakage power and temperature optimization for MPSoC

As technology scaling into the nanometer regime, the performance is accompanied by the ever-increasing chip power consumption, in which leakage power consumption has become a major factor. Based on temperature-electric coupling effect, we study the temperature-cooling and energy-saving algorithm for...

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Bibliographic Details
Published in2009 11th IEEE International Conference on Computer-Aided Design and Computer Graphics pp. 478 - 483
Main Authors Fu Zhaoguo, Sun Chaoshan, Luo Zuying
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2009
Subjects
Dynamic voltage scaling
Electrothermal effects
Energy consumption
Power system modeling
Processor scheduling
Scheduling algorithm
Temperature dependence
Temperature sensors
Thermal management
Voltage control
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Summary:As technology scaling into the nanometer regime, the performance is accompanied by the ever-increasing chip power consumption, in which leakage power consumption has become a major factor. Based on temperature-electric coupling effect, we study the temperature-cooling and energy-saving algorithm for high-end multi-processor system-on-chip (MPSoC). This work proposes a TALO (temperature-aware leakage optimization) algorithm to schedule tasks for MPSoCs. TALO assigns high priority to the coolest processor when there are multi-processor can be used, reducing the temperature-electric coupling leakage power. Comparing with TALK and traditional DVS algorithm, experiments show TALO is more efficient in power consumption. It can reduce the leakage power up to 70 percents for MPSoCs in contrast with DVS algorithm. At the same time, TALO can help decrease the highest temperature of each processor in MPSoC. It can make the temperature of each processor 34degC lower than DVS systems.
ISBN:9781424436996
1424436990
DOI:10.1109/CADCG.2009.5246857