Detecting Silent Data Corruption for Extreme-Scale MPI Applications
Author:
Affiliation:
1. Argonne National Laboratory
Funder
U.S. Department of Energy
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2802658.2802665
Reference21 articles.
1. Detecting silent data corruption through data dynamic monitoring for scientific applications
2. FTI
3. Lightweight Silent Data Corruption Detection Based on Runtime Data Analysis for HPC Applications
4. Designing Reliable Systems from Unreliable Components: The Challenges of Transistor Variability and Degradation
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