Mitigating the impact of faults in unreliable memories for error-resilient applications

@article{Ganapathy2015MitigatingTI,
  title={Mitigating the impact of faults in unreliable memories for error-resilient applications},
  author={Shrikanth Ganapathy and Georgios Karakonstantis and Adam Teman and Andreas Peter Burg},
  journal={2015 52nd ACM/EDAC/IEEE Design Automation Conference (DAC)},
  year={2015},
  pages={1-6}
}
Inherently error-resilient applications in areas such as signal processing, machine learning and data analytics provide opportunities for relaxing reliability requirements, and thereby reducing the overhead incurred by conventional error correction schemes. In this paper, we exploit the tolerable imprecision of such applications by designing an energy-efficient fault-mitigation scheme for unreliable data memories to meet target yield. The proposed approach uses a bit-shuffling mechanism to… CONTINUE READING
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