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文章推荐：高性能计算机中的低能耗技术
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文章链接（开放获取）： https://doi.org/10.1093/nsr/nwv087 作者：谢向辉，数学工程与先进计算国家重点实验室 大数据时代来临，高性能计算机已成为科学技术人员不可或缺的实用工具。而高性能计算机的进一步发展面临着一系列挑战，其中最为艰巨的就是如何突破能耗限制。这篇发表于《国家科学评论》（National Science Review）的 perspective 文章，针对这一问题的技术解决方案进行了详尽的概括和描述。作者认为，可以发展的技术主要来自三个方面：新设备研发、创新的体系结构和系统，以及具备能源意识的智能技术的发展。 Introduction: With the breakdown of Dennard's scaling rule, chip power for a given area size is not constant as transistors shrink from generation to generation . In particular, the power wall problem worsens with the continual improvement in performance of high-performance computers. The power challenge has been identified as the biggest research challenge. Practical exascale systems of the future should meet a power constraint of 20 MW. The Tianhe-2 system, the fastest supercomputer on the TOP500 list of June 2015, consumes in running the high-performance Linpack (HPL) benchmark, achieving a performance of 33.86 Pflops. Compared with the Tianhe-2, an exascale system must obtain 30 times the performance improvement with 1.12 times the increase in power consumption. Clearly, in creating such exascale systems, satisfying such power requirements using evolutionary approaches is near impossible. Realizing this challenging power target depends on improvements in many technologies, especially, the viable and revolutionary technologies including new devices, innovative architectures and systems, and energy-aware intelligent technologies. 《国家科学评论》是中科院主管的英文综述性学术期刊，最新影响因子（2016）为8.843。  01.png |
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