Title :
Energy-Aware High Performance Computing: A Taxonomy Study
Author :
Cai, Chang ; Wang, Lizhe ; Khan, Samee U. ; Tao, Jie
Author_Institution :
Sch. of Comput. Sci., China Univ. of Geosci., Wuhan, China
Abstract :
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.
Keywords :
power aware computing; Grids/Clouds; clusters; computer infrastructure; data centers; energy aware high performance computing; energy consumption; high performance community; servers; software architecture; taxonomy study; Computational modeling; Green products; Monitoring; Power demand; Program processors; Servers; USA Councils; Energy-aware Computing; Green Computing; High Performance Computing;
Conference_Titel :
Parallel and Distributed Systems (ICPADS), 2011 IEEE 17th International Conference on
Conference_Location :
Tainan
Print_ISBN :
978-1-4577-1875-5
DOI :
10.1109/ICPADS.2011.59