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. © 2011 IEEE.
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CITATION STYLE
Cai, C., Wang, L., Khan, S. U., & Tao, J. (2011). Energy-aware high performance computing - A taxonomy study. In Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS (pp. 953–958). https://doi.org/10.1109/ICPADS.2011.59
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