Energy-Aware High Performance Computing: A Taxonomy Study

  • Authors:
  • Chang Cai;Lizhe Wang;Samee U. Khan;Jie Tao

  • Affiliations:
  • -;-;-;-

  • Venue:
  • ICPADS '11 Proceedings of the 2011 IEEE 17th International Conference on Parallel and Distributed Systems
  • Year:
  • 2011

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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.