Toward exascale resilience

  • Franck Cappello
  • , Al Geist
  • , Bill Gropp
  • , Laxmikant Kale
  • , Bill Kramer
  • , Marc Snir

    Research output: Contribution to journalArticlepeer-review

    252 Scopus citations

    Abstract

    Over the past few years resilience has became a major issue for high-performance computing (HPC) systems, in particular in the perspective of large petascale systems and future exascale systems. These systems will typically gather from half a million to several millions of central processing unit (CPU) cores running up to a billion threads. From the current knowledge and observations of existing large systems, it is anticipated that exascale systems will experience various kind of faults many times per day. It is also anticipated that the current approach for resilience, which relies on automatic or application level checkpoint/restart, will not work because the time for checkpointing and restarting will exceed the mean time to failure of a full system. This set of projections leaves the community of fault tolerance for HPC systems with a difficult challenge: finding new approaches, which are possibly radically disruptive, to run applications until their normal termination, despite the essentially unstable nature of exascale systems. Yet, the community has only five to six years to solve the problem. This white paper synthesizes the motivations, observations and research issues considered as determinant of several complimentary experts of HPC in applications, programming models, distributed systems and system management.

    Original languageEnglish
    Pages (from-to)374-388
    Number of pages15
    JournalInternational Journal of High Performance Computing Applications
    Volume23
    Issue number4
    DOIs
    StatePublished - 2009

    Keywords

    • Challenge
    • Exascale
    • Fault tolerance
    • High-performance computing
    • Resilience

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