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2020 – today
- 2024
[j4]Seunghyun Moon
, Han-Gyeol Mun, Hyunwoo Son, Jae-Yoon Sim:
Multipurpose Deep-Learning Accelerator for Arbitrary Quantization With Reduction of Storage, Logic, and Latency Waste. IEEE J. Solid State Circuits 59(1): 143-156 (2024)- [c7]Bo Zhang, Seunghyun Moon, Mingoo Seok:
A 1-TFLOPS/W, 28-nm Deep Neural Network Accelerator Featuring Online Compression and Decompression and BF16 Digital In-Memory-Computing Hardware. CICC 2024: 1-2 - 2023
- [j3]Han-Gyeol Mun, Seunghyun Moon, Byungjun Kim, Kyeong-Jun Lee, Jae-Yoon Sim:
Bottleneck-Stationary Compact Model Accelerator With Reduced Requirement on Memory Bandwidth for Edge Applications. IEEE Trans. Circuits Syst. I Regul. Pap. 70(2): 772-782 (2023) - [c6]Kyeong-Jun Lee, ByungJun Kim, Han-Gyeol Mun, Seunghyun Moon, Jae-Yoon Sim:
Joint Optimization of Cache Management and Graph Reordering for GCN Acceleration. ISLPED 2023: 1-6 - [c5]Seunghyun Moon, Han-Gyeol Mun, Hyunwoo Son, Jae-Yoon Sim:
A 127.8TOPS/W Arbitrarily Quantized 1-to-8b Scalable-Precision Accelerator for General-Purpose Deep Learning with Reduction of Storage, Logic and Latency Waste. ISSCC 2023: 330-331 - [c4]Han-Gyeol Mun, Hyunwoo Son, Seunghyun Moon, Jaehyun Park, ByungJun Kim, Jae-Yoon Sim:
A 28 nm 66.8 TOPS/W Sparsity-Aware Dynamic-Precision Deep-Learning Processor. VLSI Technology and Circuits 2023: 1-2 - 2022
- [j2]Seunghyun Moon, Kyeong-Jun Lee, Han-Gyeol Mun, Byungjun Kim, Jae-Yoon Sim:
An 8.9-71.3 TOPS/W Deep Learning Accelerator for Arbitrarily Quantized Neural Networks. IEEE Trans. Circuits Syst. II Express Briefs 69(10): 4148-4152 (2022) - [j1]Kyeong-Jun Lee, Seunghyun Moon, Jae-Yoon Sim:
A 384G Output NonZeros/J Graph Convolutional Neural Network Accelerator. IEEE Trans. Circuits Syst. II Express Briefs 69(10): 4158-4162 (2022) - [c3]ByungJun Kim, Jaehan Park, Seunghyun Moon, Kiseo Kang, Jae-Yoon Sim:
Configurable Energy-Efficient Lattice-Based Post-Quantum Cryptography Processor for IoT Devices. ESSCIRC 2022: 525-528 - 2021
- [i1]Seunghyun Moon, Ruimin Ma, Ross Attardo, Charles Tomonto, Mark Nordin, Paul Wheelock, Michael Glavicic, Maxwell Layman, Richard Billo, Tengfei Luo:
Impact of Surface and Pore Characteristics on Fatigue Life of Laser Powder Bed Fusion Ti-6Al-4V Alloy Described by Neural Network Models. CoRR abs/2109.09655 (2021)
2010 – 2019
- 2019
- [c2]Dongku Kang, Minsu Kim, Suchang Jeon, Wontaeck Jung, Jooyong Park, Gyo Soo Choo, Dong-Kyo Shim, Anil Kavala, Seungbum Kim, Kyung-Min Kang, Jiyoung Lee, Kuihan Ko, Hyun Wook Park, ByungJun Min, Changyeon Yu, Sewon Yun, Nahyun Kim, Yeonwook Jung, Sungwhan Seo, Sunghoon Kim, Moo Kyung Lee, Joo-Yong Park, James C. Kim, Young San Cha, Kwangwon Kim, Youngmin Jo, Hyun-Jin Kim, Youngdon Choi, Jindo Byun, Ji-hyun Park, Kiwon Kim, Tae-Hong Kwon, Young-Sun Min, Chiweon Yoon, Youngcho Kim, Dong-Hun Kwak, Eungsuk Lee, Wook-Ghee Hahn, Ki-Sung Kim, Kyungmin Kim, Euisang Yoon, Wontae Kim, Inryul Lee, Seunghyun Moon, Jeong-Don Ihm, Dae-Seok Byeon, Ki-Whan Song, Sangjoon Hwang, Kyehyun Kyung:
A 512Gb 3-bit/Cell 3D 6th-Generation V-NAND Flash Memory with 82MB/s Write Throughput and 1.2Gb/s Interface. ISSCC 2019: 216-218 - 2018
- [c1]Seungjae Lee, Chulbum Kim, Minsu Kim, Sung-Min Joe, Joonsuc Jang, Seungbum Kim, Kangbin Lee, Jisu Kim, Jiyoon Park, Hanjun Lee, Min-Seok Kim, Seonyong Lee, SeonGeon Lee, Jinbae Bang, Dongjin Shin, Hwajun Jang, Deokwoo Lee, Nahyun Kim, Jonghoo Jo, Jonghoon Park, Sohyun Park, Youngsik Rho, Yongha Park, Hojoon Kim, Cheon An Lee, Chungho Yu, Young-Sun Min, Moosung Kim, Kyungmin Kim, Seunghyun Moon, Hyun-Jin Kim, Youngdon Choi, YoungHwan Ryu, Jinwon Choi, Minyeong Lee, Jungkwan Kim, Gyo Soo Choo, Jeong-Don Lim, Dae-Seok Byeon, Ki-Whan Song, Ki-Tae Park, Kyehyun Kyung:
A 1Tb 4b/cell 64-stacked-WL 3D NAND flash memory with 12MB/s program throughput. ISSCC 2018: 340-342
Coauthor Index
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