期刊名称：Lecture Notes in Engineering and Computer Science
印刷版ISSN：2078-0958
电子版ISSN：2078-0966
出版年度：2018
卷号：2237&2238
页码：102-107
出版社：Newswood and International Association of Engineers
摘要：Emerging technologies have resulted in high end
computing systems with many nodes with several processors
per node. As we step into the exascale computing era, High
Performance Computing (HPC) systems and technologies have
provided an unprecedented level of computational capability
for solving traditionally insolvable or extremely challenging
social and scientific problems where experiments are impossible,
dangerous, or inordinately costly. Achieving exascale computing
requires millions of processors to be working in tandem which
causes increased use of computational power to allow faster
computing. One of the biggest challenge in HPC is to reduce
power consumption as consumption of power has become a
critical concern in HPC because power is a limiter for all
computing platform as power is required to achieve performance
as well as for cooling the system, especially in HPC cluster
because, as the number of nodes in a cluster increases the
total power consumption also increases. We have designed a
simulator to estimate power and help designers to experiment
execution of different applications on different HPC architectures
and evaluate various power optimization techniques. A method
which can be applied to manage the shutdown of CPUs when
they are idle has been proposed, this method can be used in
reducing power consumption. Our results show that when we
run the applications using our proposed method of switching
off the nodes when idle for more than user defined idle period
threshold Ti seconds we achieve power saving of about 19.7 %
when compared to running the applications without switching
off the nodes when idle.
关键词：HPC; Energy Efficiency; Simulation; Power;
Reduction
