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Energy-Aware High Performance Computing: A Taxonomy Study

机译:能源感知的高性能计算:分类研究

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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.
机译:现在,降低能耗并建立可持续的计算机基础架构已成为高性能社区的主要目标。在能源感知型高性能计算领域中已经进行了许多研究项目。本文致力于对高端计算基础架构(例如服务器,集群,数据中心和网格/云)的能源感知计算方法进行分类。基于方法和系统规模的分类法,本文回顾了能源敏感型高性能计算的研究现状,并总结了未来能源敏感型高性能计算研究的开放性问题和软件体系结构的研究方向。

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