Analysis of the Tradeoffs Between Energy and Run Time for Multilevel Checkpointing
Analysis of the Tradeoffs Between Energy and Run Time for Multilevel Checkpointing
复制标题
多级检查点的能量和运行时间之间的权衡分析
DOI：
10.1007/978-3-319-17248-4_13
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
P. Hovland
中科院分区：
文献类型：
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作者：
Prasanna Balaprakash;L. Bautista;M. Bouguerra;Stefan M. Wild;F. Cappello;P. Hovland
在高性能计算中，人们不断追求性能和可扩展性。超级计算机变得越来越大，提供了更高的计算科学吞吐量。然而，随着系统组件数量及其相互作用的增加，故障数量和功耗将迅速增加。能源和可靠性是超大规模计算需要解决的最具挑战性的问题之一。我们为多级容错方案开发运行时间和能源使用的分析模型。我们使用这些模型来研究 FTI（一个最近在 IBM Blue Gene/Q 上开发的多级检查点库）中运行时间和能量之间的权衡。我们的结果表明，FTI 消耗的能量较低，并且运行时间和能量之间的权衡很小。使用分析模型，我们探讨了各种系统级参数对运行时间和能源权衡的影响。
In high-performance computing, there is a perpetual hunt for performance and scalability. Supercomputers grow larger offering improved computational science throughput. Nevertheless, with an increase in the number of systems’ components and their interactions, the number of failures and the power consumption will increase rapidly. Energy and reliability are among the most challenging issues that need to be addressed for extreme scale computing. We develop analytical models for run time and energy usage for multilevel fault-tolerance schemes. We use these models to study the tradeoff between run time and energy in FTI, a recently developed multilevel checkpoint library, on an IBM Blue Gene/Q. Our results show that energy consumed by FTI is low and the tradeoff between the run time and energy is small. Using the analytical models, we explore the impact of various system-level parameters on run time and energy tradeoffs.