Soft Error Vulnerability of Iterative Linear Algebra Methods

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Devices are increasingly vulnerable to soft errors as their feature sizes shrink. Previously, soft error rates were significant primarily in space and high-atmospheric computing. Modern architectures now use features so small at sufficiently low voltages that soft errors are becoming important even at terrestrial altitudes. Due to their large number of components, supercomputers are particularly susceptible to soft errors. Since many large scale parallel scientific applications use iterative linear algebra methods, the soft error vulnerability of these methods constitutes a large fraction of the applications overall vulnerability. Many users consider these methods invulnerable to most soft errors since they converge ... continued below

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PDF-file: 13 pages; size: 2.7 Mbytes

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Bronevetsky, G & de Supinski, B January 19, 2008.

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Devices are increasingly vulnerable to soft errors as their feature sizes shrink. Previously, soft error rates were significant primarily in space and high-atmospheric computing. Modern architectures now use features so small at sufficiently low voltages that soft errors are becoming important even at terrestrial altitudes. Due to their large number of components, supercomputers are particularly susceptible to soft errors. Since many large scale parallel scientific applications use iterative linear algebra methods, the soft error vulnerability of these methods constitutes a large fraction of the applications overall vulnerability. Many users consider these methods invulnerable to most soft errors since they converge from an imprecise solution to a precise one. However, we show in this paper that iterative methods are vulnerable to soft errors, exhibiting both silent data corruptions and poor ability to detect errors. Further, we evaluate a variety of soft error detection and tolerance techniques, including checkpointing, linear matrix encodings, and residual tracking techniques.

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PDF-file: 13 pages; size: 2.7 Mbytes

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  • Presented at: International Conference on Supercomputing, Kos, Greece, Jun 07 - Jun 12, 2008

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  • Report No.: LLNL-CONF-400659
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 944290
  • Archival Resource Key: ark:/67531/metadc900445

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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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  • January 19, 2008

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  • Sept. 27, 2016, 1:39 a.m.

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  • Dec. 9, 2016, 10:09 p.m.

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Bronevetsky, G & de Supinski, B. Soft Error Vulnerability of Iterative Linear Algebra Methods, article, January 19, 2008; Livermore, California. (digital.library.unt.edu/ark:/67531/metadc900445/: accessed October 17, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.