Reading between the lines of failure logs: Understanding how HPC systems fail

Nosayba El-Sayed, Bianca Schroeder

Research output: Chapter in Book/Report/Conference proceedingConference contribution

46 Citations (Scopus)

Abstract

As the component count in supercomputing installations continues to increase, system reliability is becoming one of the major issues in designing HPC systems. These issues will become more challenging in future Exascale systems, which are predicted to include millions of CPU cores. Even with relatively reliable individual components, the sheer number of components will increase failure rates to unprecedented levels. Efficiently running those systems will require a good understanding of how different factors impact system reliability. In this paper we use a decade worth of field data made available by Los Alamos National Lab to study the impact of a diverse set of factors on the reliability of HPC systems. We provide insights into the nature of correlations between failures, and investigate the impact of factors, such as the power quality, temperature, fan and chiller reliability, system usage and utilization, and external factors, such as cosmic radiation, on system reliability.

Original languageEnglish
Title of host publication2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2013
DOIs
Publication statusPublished - 9 Sep 2013
Event2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2013 - Budapest, Hungary
Duration: 24 Jun 201327 Jun 2013

Publication series

NameProceedings of the International Conference on Dependable Systems and Networks

Other

Other2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2013
CountryHungary
CityBudapest
Period24/6/1327/6/13

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ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

Cite this

El-Sayed, N., & Schroeder, B. (2013). Reading between the lines of failure logs: Understanding how HPC systems fail. In 2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2013 [6575356] (Proceedings of the International Conference on Dependable Systems and Networks). https://doi.org/10.1109/DSN.2013.6575356