FATE: Fast and Accurate Timing Error Prediction Framework for Low Power DNN Accelerator Design

Deep neural networks (DNN) are increasingly being accelerated on application-specific hardware such as the Google TPU designed especially for deep learning. Timing speculation is a promising approach to further increase the energy efficiency of DNN accelerators.

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Jeff (Jun) Zhang, Siddharth Garg (2024). Dataset: FATE: Fast and Accurate Timing Error Prediction Framework for Low Power DNN Accelerator Design. https://doi.org/10.57702/4dgpzowo

DOI retrieved: December 16, 2024

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.1807.00480
Author Jeff (Jun) Zhang
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Siddharth Garg