Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices

IEEE Journal on Emerging and Selected Topics in Circuits and Systems, pp. 292-308, 2019.

Cited by: 0|Bibtex|Views58|DOI:https://doi.org/10.1109/JETCAS.2019.2910232
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Other Links: academic.microsoft.com|dblp.uni-trier.de|arxiv.org

Abstract:

A recent trend in deep neural network (DNN) development is to extend the reach of deep learning applications to platforms that are more resource and energy-constrained, e.g., mobile devices. These endeavors aim to reduce the DNN model size and improve the hardware processing efficiency and have resulted in DNNs that are much more <italic...More

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