An Integrated Framework for Power-Performance Analysis of Parallel Scientific Workloads
An Integrated Framework for Power-Performance Analysis of Parallel Scientific Workloads
复制标题
并行科学工作负载功耗性能分析的集成框架
DOI：
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
E. Quintana
中科院分区：
文献类型：
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作者：
S. Barrachina;M. Barreda;Sandra Catalán;M. F. Dolz;G. Fabregat;R. Mayo;E. Quintana
迈向亿级系统的道路将需要大力解决未来高性能计算(HPC)工作负载的功耗问题，这反过来又要求更好地了解电力使用情况。在本文中，我们提出了一个进化框架来跟踪和分析并行科学应用所产生的功率和能量消耗。该框架包括：i)灵活且可扩展的设计，可轻松集成不同类型的功率测量设备并添加新功能；ii)新模块，记录与功耗相关的处理器状态信息；iii)改进的功率测量设备，用于监控内部直流(DC)功耗。因此，这种环境被认为是一种强大而易于使用的工具，用于研究和开发高能效高性能计算应用程序。功耗；高性能计算；性能分析仪；科学应用；
The path towards Exascale systems will require to energetically address power consumption of future high performance computing (HPC) workloads which, in turn, urges for a better understanding of power usage. In this paper we, present an evolved framework to trace and analyze the power and energy consumption made by parallel scientific applications. The framework includes i) a flexible and extensible design that enables easy integration of different types of power measurement devices and addition of new functionality; ii) a new module that records information on processor states related to power consumption; and iii) an improved power measurement device to monitor internal direct current (DC) power consumption. This environment is thus revealed as a powerful yet easy-to-use tool to investigate and progress on the development of energy-efficient HPC applications. Keywords-power consumption; high performance computing; performance analyzers; scientific applications;
DOI：
10.1177/1094342010391989
发表时间：
2011-02-01
影响因子：
3.1
作者：
Dongarra, Jack;Beckman, Pete;Yelick, Kathy
通讯作者：
Yelick, Kathy