Fault-Tolerant Iterative Methods via Selective Reliability

  title={Fault-Tolerant Iterative Methods via Selective Reliability},
  author={Mark Hoemmen},
Current iterative methods for solving linear equations assume reliability of data (no “bit flips”) and arithmetic (correct up to rounding error). If faults occur, the solver usually either aborts, or computes the wrong answer without indication. System reliability guarantees consume energy or reduces performance. As processor counts continue to grow, these costs will become unbearable. Instead, we show that if the system lets applications apply reliability selectively, we can develop iterations… CONTINUE READING
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Updating a rank-revealing ULV decomposition

  • G. W. Stewart
  • SIAM J. Matrix Anal. Appl., 14(2):494–499, April
  • 1993
Highly Influential
3 Excerpts

Soft errors in linear solvers as integrated components of a simulation

  • V. E. Howle
  • Presented at the Copper Mountain Conference on…
  • 2010
2 Excerpts

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