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| NO | Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date) |
|---|---|
| LNPU: An Energy-Efficient Deep-Neural-Network Training Processor with Fine-Grained Mixed Precision Lee, Jinsu; Lee, Juhyoung; Han, Donghyeon; Lee, Jinmook; Park, Gwangtae; Yoo, Hoi-Jun, Hot Chips 2019: A Symposium on High-Performance Chips, HOT CHIPS, 2019-08 | |
| DT-CNN: Dilated and transposed convolution neural network accelerator for real-time image segmentation on mobile devices Im, Dongseok; Han, Donghyeon; Choi, Sungpill; Kang, Sanghoon; Yoo, Hoi-Jun, 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019, Institute of Electrical and Electronics Engineers Inc., 2019-05 | |
| 7.7 LNPU: A 25.3TFLOPS/W Sparse Deep-Neural-Network Learning Processor with Fine-Grained Mixed Precision of FP8-FP16 Lee, Jinsu; Lee, Juhyoung; Han, Donghyeon; Lee, Jinmook; Park, Gwangtae; Yoo, Hoi-Jun, 2019 IEEE International Solid-State Circuits Conference, ISSCC 2019, pp.142 - 144, Institute of Electrical and Electronics Engineers Inc., 2019-02 | |
| CNNP-v2:An Energy Efficient Memory-Centric Convolutional Neural Network Processor Architecture Choi, Sungpill; Bong, Kyeongryeol; Han, Donghyeon; Yoo, Hoi-Jun, 1st IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019, pp.38 - 41, Institute of Electrical and Electronics Engineers Inc., 2019-02 | |
| Direct Feedback Alignment based Convolutional Neural Network Training for Low-power Online Learning Processor Han, Donghyeon; Yoo, Hoi-Jun, IEEE/CVF International Conference on Computer Vision (ICCV), pp.2445 - 2452, IEEE, 2019-10 | |
| A 1.32 TOPS/W Energy Efficient Deep Neural Network Learning Processor with Direct Feedback Alignment based Heterogeneous Core Architecture Han, Donghyeon; Lee, Jinsu; Lee, Jinmook; Yoo, Hoi-Jun, 33rd Symposium on VLSI Circuits, VLSI Circuits 2019, pp.C304 - C305, Institute of Electrical and Electronics Engineers Inc., 2019-06 |
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