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• W4321636616 abstract "With the ever-shrinking size of transistors, silent data corruptions (SDCs) are becoming a common yet serious issue in HPC. Selective instruction duplication (SID) is a widely used fault-tolerance technique that can obtain high SDC coverage with low performance overhead. However, existing SID methods are confined to single program input in its assessment, assuming that error resilience of a program remains similar across inputs. Nevertheless, we observe that the assumption cannot always hold, leading to a drastic loss in SDC coverage across different inputs, compromising HPC reliability. We notice that the SDC coverage loss correlates with a small set of instructions - we call them incubative instructions, which reveal elusive error propagation characteristics across multiple inputs. We propose Minpsid, an automated SID framework that automatically identifies and re-prioritizes incubative instructions in a given program to enhance SDC coverage. Evaluation shows Minpsid can effectively mitigate the loss of SDC coverage across multiple inputs." @default.
• W4321636616 created "2023-02-24" @default.
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• W4321636616 date "2022-11-01" @default.
• W4321636616 modified "2023-09-23" @default.
• W4321636616 title "Mitigating Silent Data Corruptions in HPC Applications across Multiple Program Inputs" @default.
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• W4321636616 doi "https://doi.org/10.1109/sc41404.2022.00022" @default.
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