Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices
© 2011 IEEE. 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...
Main Authors: | Chen, Yu-Hsin, Yang, Tien-Ju, Emer, Joel S, Sze, Vivienne |
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Other Authors: | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2021
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Online Access: | https://hdl.handle.net/1721.1/134768 |
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