Tests and Tolerances for High-Performance Software-Implemented Fault Detection

  title={Tests and Tolerances for High-Performance Software-Implemented Fault Detection},
  author={Michael J. Turmon and Robert A. Granat and Daniel S. Katz and John Z. Lou},
  journal={IEEE Trans. Computers},
We describe and test a software approach to fault detection in common numerical algorithms. Such result checking or algorithm-based fault tolerance (ABFT) methods may be used, for example, to overcome single-event upsets in computational hardware or to detect errors in complex, high-efficiency implementations of the algorithms. Following earlier work, we use checksum methods to validate results returned by a numerical subroutine operating subject to unpredictable errors in data. We consider… CONTINUE READING
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