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PHIL KNAG
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Name
Affiliation
Papers
PHIL KNAG
Univ Michigan, Dept Elect Engn & Comp Sci, Ann Arbor, MI 48109 USA
8
Collaborators
Citations
PageRank
33
18
3.17
Referers
Referees
References
98
60
14
Publications (8 rows)
Collaborators (33 rows)
Referers (98 rows)
Referees (60 rows)
Title
Citations
PageRank
Year
A 617-TOPS/W All-Digital Binary Neural Network Accelerator in 10-nm FinFET CMOS
0
0.34
2021
Low-Clock-Power Digital Standard Cell IPs for High-Performance Graphics/AI Processors in 10nm CMOS
0
0.34
2020
25.9 Reconfigurable Transient Current-Mode Global Interconnect Circuits in 10nm CMOS for High-Performance Processors with Wide Voltage-Frequency Operating Range.
0
0.34
2020
A Ray-Casting Accelerator in 10nm CMOS for Efficient 3D Scene Reconstruction in Edge Robotics and Augmented Reality Applications
0
0.34
2020
25.7 Time-Borrowing Fast Mux-D Scan Flip-Flop with On-Chip Timing/Power/VMIN Characterization Circuits in 10nm CMOS.
0
0.34
2020
A 4096-Neuron 1M-Synapse 3.8PJ/SOP Spiking Neural Network with On-Chip STDP Learning and Sparse Weights in 10NM FinFET CMOS.
16
0.69
2019
A 1.40mm2 141mW 898GOPS sparse neuromorphic processor in 40nm CMOS.
0
0.34
2016
Efficient Hardware Architecture for Sparse Coding
2
0.45
2014
1