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Energy-Aware High Performance Computing: A Taxonomy Study

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4 Author(s)
Chang Cai ; Sch. of Comput. Sci., China Univ. of Geosci., Wuhan, China ; Lizhe Wang ; Khan, S.U. ; Jie Tao

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.

Published in:

Parallel and Distributed Systems (ICPADS), 2011 IEEE 17th International Conference on

Date of Conference:

7-9 Dec. 2011