Topics on measuring real power usage on high performance computing platforms
Topics on measuring real power usage on high performance computing platforms
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有关测量高性能计算平台上实际功耗的主题
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
Mark Swan
中科院分区：
文献类型：
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作者：
J. Laros;K. Pedretti;S. M. Kelly;J. Vandyke;Kurt B. Ferreira;C. Vaughan;Mark Swan
最近，权力被认为是实施Peta-FLOPs班级制度的主要障碍之一。要达到Exa-FLOPs，挑战肯定会更加复杂。在本文中，我们将讨论一些与高性能计算能力相关的主题。我们首先描述了一个可扩展的功率测量框架的实现，该框架使我们能够检查实际的功率使用（电流消耗）。[使用这个框架，以每个节点（套接字）粒度获得样本，频率高达每秒100个样本。此外，我们描述了如何将此功能应用到Catamount轻量级内核上实现节能措施，在那里我们实现了80%的改进。这种能力使我们能够量化应用程序使用的能源总量，并对比轻量级和通用操作系统之间的应用程序能源使用情况。最后，我们展示了由于操作系统噪声导致的运行时间的增加与应用程序能耗的增加成比例。还将讨论未来感兴趣的领域。
Power has recently been recognized as one of the major obstacles in fielding a Peta-FLOPs class system. To reach Exa-FLOPs, the challenge will certainly be compounded. In this paper we will discuss a number of High Performance Computing power related topics. We first describe our implementation of a scalable power measurement framework that has enabled us to examine real power use (current draw). [Using this framework, samples were obtained at a per-node (socket) granularity, at frequencies of up to 100 samples per second.] Additionally, we describe how we applied this capability to implement power conserving measures on our Catamount Light Weight Kernel, where we achieved an 80% improvement. This ability has enabled us to quantify the amount of energy used by applications and to contrast application energy use between a Light Weight and General Purpose operating system. Finally, we show application energy use increases proportionally with the increase in run-time due to operating system noise. Areas of future interest will also be discussed.