NDLI: Correcting soft errors online in LU factorization

Content Provider	ACM Digital Library
Author	Davies, Teresa Chen, Zizhong
Abstract	In high-performance systems, the probability of failure is higher with more processors. Errors in calculations may occur that cannot be detected by outside means. To address this problem, we create a checksum-based approach that detects and recovers from calculation errors. We apply this approach to the LU factorization algorithm used by High Performance Linpack. Our approach has low overhead; in contrast to an existing approach that requires repeated calculation, it repeats only a fraction of the calculation during recovery. Because of error propagation, the existing approach has to repeat calculations when soft errors occur. Our approach detects and corrects errors during the calculation before they are propagated. The frequency of checking can be adjusted for the error rate, resulting in a flexible method of fault tolerance.
Starting Page	167
Ending Page	178
Page Count	12
File Format	PDF
ISBN	9781450319102
DOI	10.1145/2462902.2462920
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-06-17
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Algorithm-based recovery Fault tolerance Lu factorization Soft errors High performance linpack benchmark
Content Type	Text
Resource Type	Article

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Correcting soft errors online in LU factorization