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On the Mitigation of Read Disturbances in Neuromorphic Inference Hardware paper by Ankita Paul
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On the Mitigation of Read Disturbances in Neuromorphic Inference Hardware

by Ankita Paul arxiv/2201.11527
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Non-Volatile Memory (NVM) cells are used in neuromorphic hardware to store model parameters, which are programmed as resistance states. NVMs suffer from the read disturb issue, where the programmed resistance state drifts upon repeated access of a cell during inference. Resistance drifts can lower the inference accuracy. To address this, it is necessary to periodically reprogram model parameters (a high overhead operation). We study read disturb failures of an NVM cell. Our analysis show both...

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BibTeX 
@misc{arxiv_2201_11527,
  author = {Ankita Paul},
  title = {On the Mitigation of Read Disturbances in Neuromorphic Inference Hardware Paper},
  year = {2022},
  howpublished = {\url{https://arxiv.org/abs/2201.11527v1}},
  note = {Accessed via Free2AITools.}
}
APA Style
Ankita Paul. (2022). On the Mitigation of Read Disturbances in Neuromorphic Inference Hardware [Paper]. Free2AITools. https://arxiv.org/abs/2201.11527v1

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πŸ“ Executive Summary

"Non-Volatile Memory (NVM) cells are used in neuromorphic hardware to store model parameters, which are programmed as resistance states. NVMs suffer from the read disturb issue, where the programmed resistance state drifts upon repeated access of a cell during inference. Resistance drifts can lower the inference accuracy. To address this, it is necessary to periodically reprogram model parameters (a high overhead operation). We study read disturb failures of an NVM cell. Our analysis show both..."

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@article{Paul2022On,
  title={On the Mitigation of Read Disturbances in Neuromorphic Inference Hardware},
  author={Ankita Paul},
  journal={arXiv preprint arXiv:2201.11527},
  year={2022}
}

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Ankita Paul

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2201.11527
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2201.11527
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arxiv
author
Ankita Paul
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