Proceedings of the 5th International Workshop on Energy Efficient Supercomputing

K. Cameron, A. Hoisie, D. Kerbyson, D. Lowenthal, Dimitrios S. Nikolopoulos, S. Yalamanchili, L. Carrington, J. Manzano
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Abstract

With Exascale systems on the horizon, we will be ushering in an era with power and energy consumption as the primary concerns for scalable computing. To achieve viable high performance, revolutionary methods are required with a stronger integration among hardware features, system software and applications. Equally important are the capabilities for fine-grained spatial and temporal measurement and control to facilitate energy efficient computing across all layers. Current approaches for energy efficient computing rely heavily on power efficient hardware in isolation. However, it is pivotal for hardware to expose mechanisms for energy efficiency to optimize power and energy consumption for various workloads and to reduce data motion, a major component of energy use. At the same time, high fidelity measurement techniques, typically ignored in data-center level measurement, are of high importance for scalable and energy efficient inter-play in different layers of application, system software and hardware.
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第五届节能超级计算国际研讨会论文集
随着百亿亿级系统的出现,我们将迎来一个以电力和能源消耗为主要关注点的可扩展计算时代。为了实现可行的高性能,需要在硬件功能,系统软件和应用程序之间进行更强的集成的革命性方法。同样重要的是细粒度空间和时间测量和控制的能力,以促进跨所有层的节能计算。目前的节能计算方法严重依赖于孤立的节能硬件。然而,对于硬件来说,关键是要公开能效机制,以优化各种工作负载的功率和能耗,并减少数据移动(能源使用的主要组成部分)。同时,在数据中心级测量中通常被忽略的高保真度测量技术对于不同应用层、系统软件和硬件之间的可扩展性和高能效相互作用具有重要意义。
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