异构多核处理器的任务分配及能耗的研究

Task allocation and energy on heterogeneous multi-core processors

异构多核处理器采用不同的任务分配与调度算法,会导致不同的时间消耗与能量消耗,采用合适的任务分配与调度算法能节省较多的能耗。目前普遍认为最有发展前途的任务分配与调度技术是先用启发式方法进行分组,然后再用遗传算法进行调度。在改进任务分组后,又首次提出了用遗传算法解决能耗问题。实验结果表明在实时要求不高的情况下,能以较小的时间代价来节省较多的能耗。

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.