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Jinwook Oh
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A 201.4 GOPS 496 mW real-time multi-object recognition processor with bio-inspired neural perception engine
JY Kim, M Kim, S Lee, J Oh, K Kim, HJ Yoo
IEEE Journal of Solid-State Circuits 45 (1), 32-45, 2009
1462009
A Scalable Multi-TeraOPS Deep Learning Processor Core for AI Training and Inference
B Fleischer, S Shukla, M Ziegler, J Silberman, J Oh, V Srinivasan, J Choi, ...
2018 IEEE Symposium on VLSI Circuits, 35-36, 2018
1032018
A 345 mW heterogeneous many-core processor with an intelligent inference engine for robust object recognition
S Lee, J Oh, J Park, J Kwon, M Kim, HJ Yoo
IEEE Journal of Solid-State Circuits 46 (1), 42-51, 2010
1002010
Approximate computing: Challenges and opportunities
A Agrawal, J Choi, K Gopalakrishnan, S Gupta, R Nair, JODA Prener, ...
Rebooting Computing (ICRC), IEEE International Conference on, 1-8, 2016
822016
A 320 mW 342 GOPS Real-Time Dynamic Object Recognition Processor for HD 720p Video Streams
J Oh, G Kim, J Park, I Hong, S Lee, JY Kim, JH Woo, HJ Yoo
Solid-State Circuits, IEEE Journal of 48 (1), 33-45, 2013
622013
A 1.22 TOPS and 1.52 mW/MHz augmented reality multicore processor with neural network NoC for HMD applications
G Kim, K Lee, Y Kim, S Park, I Hong, K Bong, HJ Yoo
IEEE Journal of Solid-State Circuits 50 (1), 113-124, 2014
452014
A 57mW embedded mixed-mode neuro-fuzzy accelerator for intelligent multi-core processor
J Oh, J Park, G Kim, S Lee, HJ Yoo
2011 IEEE International Solid-State Circuits Conference, 130-132, 2011
262011
Low-Power Real-Time Object Recognition Processors for Mobile Vision Systems
J Oh, G Kim, I Hong, J Park, S Lee, J Kim, J Woo, H Yoo
IEEE MICRO 32 (6), 38-50, 2012
222012
A 57 mW 12.5 J/Epoch embedded mixed-mode neuro-fuzzy processor for mobile real-time object recognition
J Oh, G Kim, BG Nam, HJ Yoo
IEEE journal of solid-state circuits 48 (11), 2894-2907, 2013
212013
A 118.4 gb/s multi-casting network-on-chip with hierarchical star-ring combined topology for real-time object recognition
JY Kim, J Park, S Lee, M Kim, J Oh, HJ Yoo
IEEE Journal of Solid-State Circuits 45 (7), 1399-1409, 2010
212010
A 92-mW Real-Time Traffic Sign Recognition System With Robust Illumination Adaptation and Support Vector Machine
J Park, J Kwon, J Oh, S Lee, JY Kim, HJ Yoo
Solid-State Circuits, IEEE Journal of 47 (11), 2711-2723, 2012
202012
A 7nm 4-core ai chip with 25.6 tflops hybrid fp8 training, 102.4 tops int4 inference and workload-aware throttling
A Agrawal, SK Lee, J Silberman, M Ziegler, M Kang, S Venkataramani, ...
2021 IEEE International Solid-State Circuits Conference (ISSCC) 64, 144-146, 2021
192021
Tightly coupled processor arrays using coarse grained reconfigurable architecture with iteration level commits
CY Chen, K Gopalakrishnan, J Oh, SK Shukla, V Srinivasan
US Patent App. 10/120,685, 2018
172018
Tightly coupled processor arrays using coarse grained reconfigurable architecture with iteration level commits
CY Chen, K Gopalakrishnan, J Oh, SK Shukla, V Srinivasan
US Patent App. 14/932,672, 2015
172015
An 86mW 98GOPS ANN-Searching Processor for Full-HD 30fps Video Object Recognition with Zeroless Locality-Sensitive Hashing
G Kim, J Oh, S Lee, HJ Yoo
Solid-State Circuits, IEEE Journal of 48 (7), 1615-1624, 2013
172013
1.2-mW Online Learning Mixed-Mode Intelligent Inference Engine for Low-Power Real-Time Object Recognition Processor
J Oh, S Lee, HJ Yoo
Very Large Scale Integration (VLSI) Systems, IEEE Transactions on 21 (5…, 2013
172013
A 3.0 tflops 0.62 v scalable processor core for high compute utilization ai training and inference
J Oh, SK Lee, M Kang, M Ziegler, J Silberman, A Agrawal, ...
2020 IEEE Symposium on VLSI Circuits, 1-2, 2020
162020
A 1.2 mW on-line learning mixed mode intelligent inference engine for robust object recognition
J Oh, S Lee, M Kim, J Kwon, J Park, JY Kim, HJ Yoo
2010 Symposium on VLSI Circuits, 17-18, 2010
162010
Real-time object recognition with neuro-fuzzy controlled workload-aware task pipelining
JY Kim, M Kim, S Lee, J Oh, S Oh, HJ Yoo
IEEE micro 29 (6), 28-43, 2009
152009
A scalable multi-TeraOPS core for AI training and inference
S Shukla, B Fleischer, M Ziegler, J Silberman, J Oh, V Srinivasan, J Choi, ...
IEEE Solid-State Circuits Letters 1 (12), 217-220, 2018
142018
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