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 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 34 degrees C lower than DVS systems.