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2010 – 2019
- 2017
[j3]John Bell
, Phil Knag, Shuanghong Sun, Yong Lim, Thomas Chen, Jeffrey Fredenburg, Chia-Hsiang Chen, Chunyang Zhai, Aaron Z. Rocca, Nicholas Collins, Andres Tamez, Jorge Pernillo, Justin M. Correll, Alan B. Tanner, Zhengya Zhang, Michael P. Flynn:
A 1.5-GHz 6.144T Correlations/s 64 × 64 Cross-Correlator With 128 Integrated ADCs for Real-Time Synthetic Aperture Imaging. IEEE J. Solid State Circuits 52(5): 1450-1457 (2017)- 2016
- [c4]Phil Knag, Chester Liu, Zhengya Zhang:
A 1.40mm2 141mW 898GOPS sparse neuromorphic processor in 40nm CMOS. VLSI Circuits 2016: 1-2 - 2015
- [j2]Phil Knag, Jung Kuk Kim, Thomas Chen, Zhengya Zhang:
A Sparse Coding Neural Network ASIC With On-Chip Learning for Feature Extraction and Encoding. IEEE J. Solid State Circuits 50(4): 1070-1079 (2015) - [c3]Jung Kuk Kim, Phil Knag, Thomas Chen, Zhengya Zhang:
A 640M pixel/s 3.65mW sparse event-driven neuromorphic object recognition processor with on-chip learning. VLSIC 2015: 50- - 2014
- [j1]Jung Kuk Kim, Phil Knag, Thomas Chen, Zhengya Zhang:
Efficient Hardware Architecture for Sparse Coding. IEEE Trans. Signal Process. 62(16): 4173-4186 (2014) - [c2]Siddharth Gaba, Phil Knag, Zhengya Zhang, Wei Lu:
Memristive devices for stochastic computing. ISCAS 2014: 2592-2595 - [c1]Jung Kuk Kim, Phil Knag, Thomas Chen, Zhengya Zhang:
A 6.67mW sparse coding ASIC enabling on-chip learning and inference. VLSIC 2014: 1-2
Coauthor Index
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