Failures in Large Scale Systems: Long-term Measurement, Analysis, and Implications

被引:95
作者
Gupta, Saurabh [1 ]
Patel, Tirthak [2 ]
Engelmann, Christian [3 ]
Tiwari, Devesh [2 ]
机构
[1] Intel Labs, Santa Clara, CA 95052 USA
[2] Northeastern Univ, Boston, MA 02115 USA
[3] Oak Ridge Natl Lab, Oak Ridge, TN USA
来源
SC'17: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS | 2017年
关键词
D O I
10.1145/3126908.3126937
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Resilience is one of the key challenges in maintaining high efficiency of future extreme scale supercomputers. Researchers and system practitioners rely on field-data studies to understand reliability characteristics and plan for future HPC systems. In this work, we compare and contrast the reliability characteristics of multiple large-scale HPC production systems. Our study covers more than one billion compute node hours across five different systems over a period of 8 years. We confirm previous findings which continue to be valid, discover new findings, and discuss their implications.
引用
收藏
页数:12
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