Abstract: Extreme CMOS technology scaling is causing significant concerns in the reliability of computer systems. Intermittent hardware errors are non-deterministic bursts of errors that occur in the same physical location. Recent studies have found that 40% of the processor failures in real-world machines are due to intermittent hardware errors. A study of the effects of intermittent faults on programs is a critical step in building fault-tolerance techniques of reasonable accuracy and cost. In this work, we characterize the impact of intermittent hardware faults in programs using fault-injection campaigns in a microarchitectural processor simulator. We find that 80% of the non-benign intermittent hardware errors activate a hardware trap in the processor, and the remaining 20% cause Silent Data Corruptions (SDCs). We have also investigated the possibility of using the program state at failure time in software-based diagnosis techniques, and found that much of the erroneous data is intact and can be used to identify the source of the error.
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