A Task Allocation Method Based on RMT of the Processor Core for MPSoC
Hui Ji, Lei Zhou
Available Online May 2017.
- https://doi.org/10.2991/icmeit-17.2017.111How to use a DOI?
- MPSoCs, Task allocation, RMT, genetic algorithm.
- With the rapid development of integrated technology, more and more IP cores were integrated on a single chip. However, the improvement of the transistor density and processor working frequency resulted in increasing power density and heat generation. So MPSoCs (Multiprocessor System-on-Chips) are facing inevitable heat dissipation problems. In this paper, a task allocation method based on the regional mean temperature (RMT) of the processor core was proposesed. The method fully considers the regional temperature of processor cores by using vector distance to calculate temperature gradient and adopting genetic algorithm to assign the initial task. Experiment results indicate that, compared with the random task allocation strategy, the peak temperature reduction, hotspot reduction and temperature gradient reduction in RMT strategy can reach the maximum value of 4.69%, 42.31%and 77.49%, respectively.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Hui Ji AU - Lei Zhou PY - 2017/05 DA - 2017/05 TI - A Task Allocation Method Based on RMT of the Processor Core for MPSoC BT - Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017) PB - Atlantis Press SP - 604 EP - 609 SN - 2352-538X UR - https://doi.org/10.2991/icmeit-17.2017.111 DO - https://doi.org/10.2991/icmeit-17.2017.111 ID - Ji2017/05 ER -