Saving 200kW and $200 K/year by power-aware job/machine scheduling

Saving 200kW and $200 K/year by power-aware job/machine scheduling
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DOI:
10.1109/ipdps.2008.4536218
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发表时间:
2008-04
期刊:
2008 IEEE International Symposium on Parallel and Distributed Processing
影响因子:
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通讯作者:
J. Hikita;Akio Hirano;H. Nakashima
J. Hikita;Akio Hirano;H. Nakashima
中科院分区:
其他
文献类型:
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作者:
J. Hikita;Akio Hirano;H. Nakashima

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本文报告了我们对京都大学超级计算机系统的功率感知操作进行的3.75年的实证研究。10万亿次浮点运算的超级计算机系统在2004年的第一个财政年度平均需要约540千瓦。在此之后,经过一年的试错式节能运行,我们实施了一个简单而有效的作业和机器供电调度程序,将每负载功率效率提高了39%,并在2006财政年度节省了200千瓦和200,000美元的电费。功率感知调度器试图最小化11个节点的系统中的活动节点的数量,从而为给定的负载保持足够的计算能力。因此,在平均作业等待时间方面,功率感知调度器没有降低服务质量,而是显著地提高了服务质量。
This paper reports our 3.75-year empirical study on power-aware operations of Kyoto University's supercomputer system. The supercomputer system of 10 TFlops had required about 540 kW on average in its first fiscal year 2004. After that and one-year try-and-error of power efficient operation, we implemented a simple but effective scheduler of jobs and machine powering to improve the per- load power efficiency by up to 39 % and to save 200 kW and $200,000 electric charge in the fiscal year 2006. The power-aware scheduler tries to minimize the number of active nodes in the system of eleven nodes keeping sufficient computational power for given loads. Thus the power- aware scheduler has not degraded, but has significantly improved, the service quality in terms of the average job- waiting time.