A tunable holistic resiliency approach for high-performance computing systems

  • Authors:

  • Stephen L. Scott;Christian Engelmann;Geoffroy R. Vallée;Thomas Naughton;Anand Tikotekar;George Ostrouchov;Chokchai Leangsuksun;Nichamon Naksinehaboon;Raja Nassar;Mihaela Paun;Frank Mueller;Chao Wang;Arun B. Nagarajan;Jyothish Varma

  • Affiliations:

  • Oak Ridge National Laboratory, Oak Ridge, TN, USA;Oak Ridge National Laboratory, Oak Ridge, TN, USA;Oak Ridge National Laboratory, Oak Ridge, TN, USA;Oak Ridge National Laboratory, Oak Ridge, TN, USA;Oak Ridge National Laboratory, Oak Ridge, TN, USA;Oak Ridge National Laboratory, Oak Ridge, TN, USA;Louisiana Tech University, Ruston, LA, USA;Louisiana Tech University, Ruston, LA, USA;Louisiana Tech University, Ruston, LA, USA;Louisiana Tech University, Ruston, LA, USA;North Carolina State University, Raleigh, NC, USA;North Carolina State University, Raleigh, NC, USA;North Carolina State University, Raleigh, NC, USA;North Carolina State University, Raleigh, NC, USA

  • Venue:
  • Proceedings of the 14th ACM SIGPLAN symposium on Principles and practice of parallel programming
  • Year:
  • 2009

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Abstract

In order to address anticipated high failure rates, resiliency characteristics have become an urgent priority for next-generation extreme-scale high-performance computing (HPC) systems. This poster describes our past and ongoing efforts in novel fault resilience technologies for HPC. Presented work includes proactive fault resilience techniques, system and application reliability models and analyses, failure prediction, transparent process- and virtual-machine-level migration, and trade-off models for combining preemptive migration with checkpoint/restart. This poster summarizes our work and puts all individual technologies into context with a proposed holistic fault resilience framework.