Energy-efficient Algorithms for Ultrascale Systems

Energy-efficient Algorithms for Ultrascale Systems
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DOI:
10.14529/jsfi150205
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发表时间:
2015-04
期刊:
Supercomput. Front. Innov.
影响因子:
--
通讯作者:
J. Carretero;S. Distefano;D. Petcu;Daniel Pop;T. Rauber;G. Rünger;D. E. Singh
J. Carretero;S. Distefano;D. Petcu;Daniel Pop;T. Rauber;G. Rünger;D. E. Singh
中科院分区:
其他
文献类型:
--
作者:
J. Carretero;S. Distefano;D. Petcu;Daniel Pop;T. Rauber;G. Rünger;D. E. Singh

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实现Exascale或Ultrascale计算的机会与处理应用程序的能耗问题密切相关。出于物理和经济原因,必须显著降低能耗,才能实现超尺度计算。对硬件的节能机制的研究努力已经使得能量感知硬件系统可用。然而,为了实现大幅节能,硬件机制必须辅之以新的节能软件,以实现预期的节能效果。在软件领域,也存在着多种节能研究方法,通常集中在系统软件层面或应用组织层面,反映了相应研究小组的专业知识。大幅降低能耗以使超尺度计算成为可能的挑战是如此雄心勃勃,以至于通过所有软件级别结合研究工作的协调行动似乎是合理的。在这篇文章中,我们讨论了当前的研究工作和结果相关的能源效率在不同领域的软件。我们的结论与开放的问题和问题,能源相关的技术与应用程序或算法方面的重点。
The chances to reach Exascale or Ultrascale Computing are strongly connected with the problem of the energy consumption for processing applications. For physical and economical reasons, the energy consumption has to be reduced significantly to make Ultrascale Computing possible. The research efforts towards energy-saving mechanisms of the hardware have already made energy-aware hardware systems available. However, to achieve a strong energy reduction, hardware mechanisms must be complemented with new energy-efficient software that can exploit them so that the foreseen energy savings actually result. In the software area, there also exist a multitude of research approaches towards energy saving, often concentrating either on the system software level or the application organization level, reflecting the expertise of the corresponding research group. The challenge of reducing the energy consumption dramatically to make Ultrascale Computing possible is so ambitious that a concerted action combining research efforts through all the software levels seems reasonable. In this article, we discuss the current research efforts and results related to energy efficiency in the diverse areas of software. We conclude with open problems and questions concerning energy-related techniques with an emphasis on the application or algorithmic side.