Task allocation and energy on heterogeneous multi-core processors

Ying Wang · Jisuanji yingyong yanjiu · 2010

With different task allocation and scheduling will lead to different time consumption and energy consumption on heterogeneous multi-core processors,using approprivate task matching and scheduling algorithms can save more energy. Now,it is widely recognized that the most promising of the task allocation and scheduling is first to use heuristic way to match the tasks, and then to use of genetic algorithm to shedule.This paper first made improvements in task matching, then used genetic algorithm to resolve the energy for the first time.The results show that it can use less time to reduce more energy consumption in less real time circumstances.

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