Evaluation of Simple Causal Message Logging for Large-Scale Fault Tolerant HPC Systems

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The era of petascale computing brought machines with hundreds of thousands of processors. The next generation of exascale supercomputers will make available clusters with millions of processors. In those machines, mean time between failures will range from a few minutes to few tens of minutes, making the crash of a processor the common case, instead of a rarity. Parallel applications running on those large machines will need to simultaneously survive crashes and maintain high productivity. To achieve that, fault tolerance techniques will have to go beyond checkpoint/restart, which requires all processors to roll back in case of a failure. Incorporating ... continued below

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Bronevetsky, G.; Meneses, E. & Kale, L. V. February 25, 2011.

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The era of petascale computing brought machines with hundreds of thousands of processors. The next generation of exascale supercomputers will make available clusters with millions of processors. In those machines, mean time between failures will range from a few minutes to few tens of minutes, making the crash of a processor the common case, instead of a rarity. Parallel applications running on those large machines will need to simultaneously survive crashes and maintain high productivity. To achieve that, fault tolerance techniques will have to go beyond checkpoint/restart, which requires all processors to roll back in case of a failure. Incorporating some form of message logging will provide a framework where only a subset of processors are rolled back after a crash. In this paper, we discuss why a simple causal message logging protocol seems a promising alternative to provide fault tolerance in large supercomputers. As opposed to pessimistic message logging, it has low latency overhead, especially in collective communication operations. Besides, it saves messages when more than one thread is running per processor. Finally, we demonstrate that a simple causal message logging protocol has a faster recovery and a low performance penalty when compared to checkpoint/restart. Running NAS Parallel Benchmarks (CG, MG and BT) on 1024 processors, simple causal message logging has a latency overhead below 5%.

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PDF-file: 10 pages; size: 0.5 Mbytes

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  • Presented at: Dependable Parallel, Distributed and Network-. Centric System, Anchorage, AK, United States, May 16 - May 16, 2011

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  • Report No.: LLNL-CONF-471680
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 1021072
  • Archival Resource Key: ark:/67531/metadc837696

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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  • February 25, 2011

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  • May 19, 2016, 3:16 p.m.

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  • May 27, 2016, 1:27 p.m.

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Bronevetsky, G.; Meneses, E. & Kale, L. V. Evaluation of Simple Causal Message Logging for Large-Scale Fault Tolerant HPC Systems, article, February 25, 2011; Livermore, California. (digital.library.unt.edu/ark:/67531/metadc837696/: accessed December 16, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.