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PyDac: A Resilient Run-Time Framework for Divide-and-Conquer Applications on a Heterogeneous Many-Core Architecture.

, , , and . Euro-Par Workshops, volume 8374 of Lecture Notes in Computer Science, page 845-854. Springer, (2013)

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Memory Errors in Modern Systems: The Good, The Bad, and The Ugly., , , , , , and . ASPLOS, page 297-310. ACM, (2015)Analyzing Reliability of Memory Sub-systems with Double-Chipkill Detect/Correct., , , , and . PRDC, page 88-97. IEEE Computer Society, (2013)Physics-Informed Machine Learning for DRAM Error Modeling., , , , , , , and . DFT, page 1-6. IEEE Computer Society, (2018)Enhancing HPC System Log Analysis by Identifying Message Origin in Source Code., , , , , , and . ISSRE Workshops, page 100-105. IEEE Computer Society, (2018)Converting Unstructured System Logs into Structured Event List for Anomaly Detection., , , , and . ARES, page 15:1-15:10. ACM, (2018)Addressing statistical significance of fault injection: empirical studies of the soft error susceptibility., , , and . IJHPCN, 10 (4/5): 436-452 (2017)Understanding the Effects of DRAM Correctable Error Logging at Scale., , , , and . CLUSTER, page 421-432. IEEE, (2021)Quantifying Server Memory Frequency Margin and Using It to Improve Performance in HPC Systems., , , , , and . ISCA, page 748-761. IEEE, (2021)An Overview of the Risk Posed by Thermal Neutrons to the Reliability of Computing Devices., , , , , , , , , and 1 other author(s). DSN (Supplements), page 92-97. IEEE, (2020)Empirical Studies of the Soft Error Susceptibility ofSorting Algorithms to Statistical Fault Injection., , , and . FTXS@HPDC, page 35-40. ACM, (2015)