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Byeong-Gyu Nam
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2020 – today
- 2024
- [j14]Iraj Moghaddasi, Ghassem Jaberipur, Danial Javaheri, Byeong-Gyu Nam:
RNPE: An MSDF and Redundant Number System-Based DNN Accelerator Engine. IEEE Access 12: 96552-96564 (2024) - [j13]Iraj Moghaddasi, Byeong-Gyu Nam:
Enhancing Computation-Efficiency of Deep Neural Network Processing on Edge Devices through Serial/Parallel Systolic Computing. Mach. Learn. Knowl. Extr. 6(3): 1484-1493 (2024) - 2021
- [j12]Dong-Jin Chang, Byeong-Gyu Nam, Seung-Tak Ryu:
MixedNet: Network Design Strategies for Cost-Effective Quantized CNNs. IEEE Access 9: 117554-117564 (2021) - 2020
- [j11]Dong-Jin Chang, Byeong-Gyu Nam, Seung-Tak Ryu:
Compact Mixed-Signal Convolutional Neural Network Using a Single Modular Neuron. IEEE Trans. Circuits Syst. 67-I(12): 5189-5199 (2020)
2010 – 2019
- 2018
- [c16]Thomas Burd, Muhammad M. Khellah, Byeong-Gyu Nam:
Session 2 overview: Processors: Digital architectures and systems subcommittee. ISSCC 2018: 32-33 - [c15]Dejan Markovic, Masato Motomura, Byeong-Gyu Nam:
Session 13 overview: Machine learning and signal processing: Digital architectures and systems subcommittee. ISSCC 2018: 214-215 - 2017
- [c14]Suhwan Cho, Seongrim Choi, Junsik Woo, Ara Kim, Byeong-Gyu Nam:
A self-powered always-on vision-based wake-up detector for wearable gesture user interfaces. A-SSCC 2017: 245-248 - [c13]Thomas Burd, James Myers, Byeong-Gyu Nam:
Session 3 overview: Digital processors. ISSCC 2017: 48-49 - [c12]Takashi Hashimoto, Mahesh Mehendale, Byeong-Gyu Nam:
Session 14 overview: Deep-learning processors. ISSCC 2017: 236-237 - 2016
- [c11]Seongrim Choi, Jaemin Hwang, Suhwan Cho, Ara Kim, Byeong-Gyu Nam:
A low-power real-time hidden Markov model accelerator for gesture user interface on wearable devices. A-SSCC 2016: 261-264 - 2015
- [j10]Injoon Hong, Gyeonghoon Kim, Youchang Kim, Donghyun Kim, Byeong-Gyu Nam, Hoi-Jun Yoo:
A 27 mW Reconfigurable Marker-Less Logarithmic Camera Pose Estimation Engine for Mobile Augmented Reality Processor. IEEE J. Solid State Circuits 50(11): 2513-2523 (2015) - 2014
- [j9]Timothy C. Fischer, Byeong-Gyu Nam, Leland Chang, Tadahiro Kuroda, Michiel A. P. Pertijs:
Highlights of the ISSCC 2013 Processors and High Performance Digital Sessions. IEEE J. Solid State Circuits 49(1): 4-8 (2014) - [j8]Junyoung Park, Injoon Hong, Gyeonghoon Kim, Byeong-Gyu Nam, Hoi-Jun Yoo:
Intelligent Network-on-Chip With Online Reinforcement Learning for Portable HD Object Recognition Processor. IEEE Trans. Circuits Syst. I Regul. Pap. 61-I(2): 476-484 (2014) - [c10]Injoon Hong, Gyeonghoon Kim, Youchang Kim, Donghyun Kim, Byeong-Gyu Nam, Hoi-Jun Yoo:
A 27mW reconfigurable marker-less logarithmic camera pose estimation engine for mobile augmented reality processor. A-SSCC 2014: 209-212 - 2013
- [j7]Jinwook Oh, Gyeonghoon Kim, Byeong-Gyu Nam, Hoi-Jun Yoo:
A 57 mW 12.5 µJ/Epoch Embedded Mixed-Mode Neuro-Fuzzy Processor for Mobile Real-Time Object Recognition. IEEE J. Solid State Circuits 48(11): 2894-2907 (2013) - [c9]Junyoung Park, Byeong-Gyu Nam, Hoi-Jun Yoo:
A high-throughput 16× super resolution processor for real-time object recognition SoC. ESSCIRC 2013: 259-262 - 2012
- [c8]Byeong-Gyu Nam, Shannon Morton:
Session 12 overview: Multimedia and communications SoCs: Energy-efficient digital subcommittee. ISSCC 2012: 212-213 - 2011
- [c7]Tobias Noll, Raney Southerland, Vladimir Stojanovic, Sonia Leon, Lew Chua-Eoan, Alice Wang, Byeong-Gyu Nam, Masaya Sumita:
Design of "green" high-performance processor circuits. ISSCC 2011: 518-519
2000 – 2009
- 2009
- [j6]Byeong-Gyu Nam, Hoi-Jun Yoo:
An Embedded Stream Processor Core Based on Logarithmic Arithmetic for a Low-Power 3-D Graphics SoC. IEEE J. Solid State Circuits 44(5): 1554-1570 (2009) - 2008
- [j5]Byeong-Gyu Nam, Jeabin Lee, Kwanho Kim, Seungjin Lee, Hoi-Jun Yoo:
Cost-effective low-power graphics processing unit for handheld devices. IEEE Commun. Mag. 46(4): 152-159 (2008) - [j4]Byeong-Gyu Nam, Hyejung Kim, Hoi-Jun Yoo:
Power and Area-Efficient Unified Computation of Vector and Elementary Functions for Handheld 3D Graphics Systems. IEEE Trans. Computers 57(4): 490-504 (2008) - 2007
- [j3]Byeong-Gyu Nam, Hyejung Kim, Hoi-Jun Yoo:
A Low-Power Unified Arithmetic Unit for Programmable Handheld 3-D Graphics Systems. IEEE J. Solid State Circuits 42(8): 1767-1778 (2007) - [c6]Byeong-Gyu Nam, Jeabin Lee, Kwanho Kim, Seungjin Lee, Hoi-Jun Yoo:
A low-power handheld GPU using logarithmic arithmetic and triple DVFS power domains. Graphics Hardware 2007: 73-80 - [c5]Byeong-Gyu Nam, Hoi-Jun Yoo:
A low-power vector processor using logarithmic arithmetic for handheld 3d graphics systems. ESSCIRC 2007: 232-235 - [c4]Jeabin Lee, Byeong-Gyu Nam, Seong-Jun Song, Namjun Cho, Hoi-Jun Yoo:
A Power Management Unit with Continuous Co-Locking of Clock Frequency and Supply Voltage for Dynamic Voltage and Frequency Scaling. ISCAS 2007: 2112-2115 - [c3]Byeong-Gyu Nam, Jeabin Lee, Kwanho Kim, Seungjin Lee, Hoi-Jun Yoo:
A 52.4mW 3D Graphics Processor with 141Mvertices/s Vertex Shader and 3 Power Domains of Dynamic Voltage and Frequency Scaling. ISSCC 2007: 278-603 - 2006
- [j2]Hyejung Kim, Byeong-Gyu Nam, Ju-Ho Sohn, Jeong-Ho Woo, Hoi-Jun Yoo:
A 231-MHz, 2.18-mW 32-bit Logarithmic Arithmetic Unit for Fixed-Point 3-D Graphics System. IEEE J. Solid State Circuits 41(11): 2373-2381 (2006) - [c2]Byeong-Gyu Nam, Hyejung Kim, Hoi-Jun Yoo:
A Low-Power Unified Arithmetic Unit for Programmable Handheld 3-D Graphics Systems. CICC 2006: 535-538 - 2005
- [j1]Byeong-Gyu Nam, Min-wuk Lee, Hoi-Jun Yoo:
Development of a 3-D graphics rendering engine with lighting acceleration for handheld multimedia systems. IEEE Trans. Consumer Electron. 51(3): 1020-1027 (2005) - [c1]Min-wuk Lee, Byeong-Gyu Nam, Ju-Ho Sohn, Namjun Cho, Hyejung Kim, Kwanho Kim, Hoi-Jun Yoo:
A fixed-point 3D graphics library with energy-efficient cache architecture for mobile multimedia systems. ISCAS (5) 2005: 4602-4605
Coauthor Index
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