A Task Allocation Method Based on RMT of the Processor Core for MPSoC

DOI

10.2991/icmeit-17.2017.111How to use a DOI?

Keywords

MPSoCs, Task allocation, RMT, genetic algorithm.

Abstract

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - 10.2991/icmeit-17.2017.111
ID  - Ji2017/05
ER  -