Seunghyun Moon

20 papers A 1Journal 12Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
T-REX: Hardware-Software Co-Optimized Transformer Accelerator With Reduced External Memory Access and Enhanced Hardware Utilization.
IEEE J. Solid State Circuits
Seunghyun Moon, Mao Li, Gregory K. Chen, Phil C. Knag, Ram K. Krishnamurthy, Mingoo Seok
2025 J jnl
DeltaTrack: Flow-Driven Multiple Object Tracking Accelerator With Variable LSB Approximation for Real-Time and Energy-Efficient Video Analytics.
IEEE Trans. Circuits Syst. II Express Briefs
Seunghyun Moon, Eunji Kwon
2025 J jnl
Operon: Incremental Construction of Ragged Data via Named Dimensions.
CoRR
Sungbin Moon, Jiho Park, Suyoung Hwang, Donghyun Koh, Seunghyun Moon, Minhyeong Lee
2025 J jnl
Spacer: Towards Engineered Scientific Inspiration.
CoRR
Minhyeong Lee, Suyoung Hwang, Seunghyun Moon, Geonho Nah, Donghyun Koh, Youngjun Cho, Johyun Park, Hojin Yoo, Jiho Park, Haneul Choi, Sungbin Moon, Taehoon Hwang, Seungwon Kim, Jaeyeong Kim, Seongjun Kim, Juneau Jung
2025 J jnl
T-REX: A 68-567 μs/token, 0.41-3.95 μJ/token Transformer Accelerator with Reduced External Memory Access and Enhanced Hardware Utilization in 16nm FinFET.
CoRR
Seunghyun Moon, Mao Li, Gregory K. Chen, Phil C. Knag, Ram Krishnamurthy, Mingoo Seok
2025 — conf
T-REX: A 68-to-567μs/Token 0.41-to-3.95μJ/Token Transformer Accelerator with Reduced External Memory Access and Enhanced Hardware Utilization in 16nm FinFET.
ISSCC
Seunghyun Moon, Mao Li, Gregory K. Chen, Phil C. Knag, Ram Kumar Krishnamurthy, Mingoo Seok
2024 — conf
A 1-TFLOPS/W, 28-nm Deep Neural Network Accelerator Featuring Online Compression and Decompression and BF16 Digital In-Memory-Computing Hardware.
CICC
Bo Zhang, Seunghyun Moon, Mingoo Seok
2024 J jnl
Multipurpose Deep-Learning Accelerator for Arbitrary Quantization With Reduction of Storage, Logic, and Latency Waste.
IEEE J. Solid State Circuits
Seunghyun Moon, Han-Gyeol Mun, Hyunwoo Son, Jae-Yoon Sim
2023 — conf
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
Seunghyun Moon, Han-Gyeol Mun, Hyunwoo Son, Jae-Yoon Sim
2023 — conf
A 28 nm 66.8 TOPS/W Sparsity-Aware Dynamic-Precision Deep-Learning Processor.
VLSI Technology and Circuits
Han-Gyeol Mun, Hyunwoo Son, Seunghyun Moon, Jaehyun Park, Byungjun Kim, Jae-Yoon Sim
2023 J jnl
Bottleneck-Stationary Compact Model Accelerator With Reduced Requirement on Memory Bandwidth for Edge Applications.
IEEE Trans. Circuits Syst. I Regul. Pap.
Han-Gyeol Mun, Seunghyun Moon, Byungjun Kim, Kyeong-Jun Lee, Jae-Yoon Sim
2023 A conf
Joint Optimization of Cache Management and Graph Reordering for GCN Acceleration.
ISLPED
Kyeong-Jun Lee, Byungjun Kim, Han-Gyeol Mun, Seunghyun Moon, Jae-Yoon Sim
2022 J jnl
A 384G Output NonZeros/J Graph Convolutional Neural Network Accelerator.
IEEE Trans. Circuits Syst. II Express Briefs
Kyeong-Jun Lee, Seunghyun Moon, Jae-Yoon Sim
2022 J jnl
An 8.9-71.3 TOPS/W Deep Learning Accelerator for Arbitrarily Quantized Neural Networks.
IEEE Trans. Circuits Syst. II Express Briefs
Seunghyun Moon, Kyeong-Jun Lee, Han-Gyeol Mun, Byungjun Kim, Jae-Yoon Sim
2022 — conf
Configurable Energy-Efficient Lattice-Based Post-Quantum Cryptography Processor for IoT Devices.
ESSCIRC
Byungjun Kim, Jaehan Park, Seunghyun Moon, Kiseo Kang, Jae-Yoon Sim
2021 J jnl
Impact of Surface and Pore Characteristics on Fatigue Life of Laser Powder Bed Fusion Ti-6Al-4V Alloy Described by Neural Network Models.
CoRR
Seunghyun Moon, Ruimin Ma, Ross Attardo, Charles Tomonto, Mark Nordin, Paul Wheelock, Michael Glavicic, Maxwell Layman, Richard Billo, Tengfei Luo
2019 — conf
A 512Gb 3-bit/Cell 3D 6
ISSCC
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, Won-Tae Kim, Inryul Lee, Seunghyun Moon, Jeong-Don Ihm, Dae-Seok Byeon, Ki-Whan Song, Sangjoon Hwang, Kyehyun Kyung
2018 — conf
A 1Tb 4b/cell 64-stacked-WL 3D NAND flash memory with 12MB/s program throughput.
ISSCC
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
2018 J jnl
Parallel replication across formats for scaling out mixed OLTP/OLAP workloads in main-memory databases.
VLDB J.
Juchang Lee, Wook-Shin Han, Hyoung Jun Na, Chang Gyoo Park, Kyu Hwan Kim, Deok Hoe Kim, Joo-Yeon Lee, Sang Kyun Cha, Seunghyun Moon
2017 J jnl
Parallel Replication across Formats in SAP HANA for Scaling Out Mixed OLTP/OLAP Workloads.
Proc. VLDB Endow.
Juchang Lee, Seunghyun Moon, Kyu Hwan Kim, Deok Hoe Kim, Sang Kyun Cha, Wook-Shin Han, Chang Gyoo Park, Hyoung Jun Na, Joo-Yeon Lee