Energy-aware High Performance Computing - A Taxonomy Study

被引:17
作者
Cai, Chang
Wang, Lizhe [1 ,2 ]
Khan, Samee U. [3 ]
Tao, Jie [4 ]
机构
[1] Indiana Univ, Pervas Technol Inst, Bloomington, IN 47405 USA
[2] China Univ Geosci, Sch Comp Sci, Beijing, Peoples R China
[3] North Dakota State Univ, Dept Elect & Comp Engn, Fargo, ND 58105 USA
[4] Karlsruhe Inst Technol, Steinbuch Ctr Comp, Karlsruhe, Germany
来源
2011 IEEE 17TH INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS) | 2011年
关键词
High Performance Computing; Energy-aware Computing; Green Computing; POWER; MANAGEMENT;
D O I
10.1109/ICPADS.2011.59
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
To reduce the energy consumption and build a sustainable computer infrastructure now becomes a major goal of the high performance community. A number of research projects have been carried out in the field of energy-aware high performance computing. This paper is devoted to categorize energy-aware computing methods for the high-end computing infrastructures, such as servers, clusters, data centers, and Grids/Clouds. Based on a taxonomy of methods and system scales, this paper reviews the current status of energy-aware HPC research and summarizes open questions and research directions of software architecture for future energy-aware HPC studies.
引用
收藏
页码:953 / 958
页数:6
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