I'm currently an assistant professor in the Department of Computer Science and Engineering at SKKU.
Before joining SKKU, I was a post-doc in ASRI at Seoul National University.
I earned Ph.D. and BS degree at Seoul National University under the supervision of Prof Jangwoo Kim.
I have mainly worked on designing (1) scalable quantum computer systems and (2) superfast cryogenic CPU, memory, and server architectures.
I also have conducted several research on (3) computer performance modeling and simulation, (4) processor microarchitecture, (5) process-in-memory for AI, and (6) cost-efficient datacenter architectures.
I'm looking for passionate research interns and Ph.D. students to join the team. Please email me if you are interested in.
Research Interests
Quantum / Cryogenic Computing
Computer Performance Modeling
Computer Architecture and Systems
Processor Microarchitecture
Datacenter Architecture
Employment
Sungkyunkwan University (SKKU), Suwon, South Korea
Assistant professor in the department of computer science and engineering (CSE)
Sep. 2024 - Current
Seoul National University (SNU), Seoul, South Korea
Senior researcher (post-doc) in Automation and Systems Research Institute (ASRI)
Mar. 2024 – Aug. 2024
Education
Seoul National University (SNU), Seoul, South Korea
Seoul National University (SNU), Seoul, South Korea
B.S. in Electrical and Computer Engineering
Mar. 2012 – Aug. 2018
Publications
( * : equal contribution)
SuperCore: An Ultra-Fast Superconducting Processor for Cryogenic Applications
Junhyuk Choi, Ilkwon Byun, Juwon Hong, Dongmoon Min, Junpyo Kim Jungmin Cho, Hyeonseong Jeong, Masamitsu Tanaka, Koji Inoue, and Jangwoo Kim ACM/IEEE International Symposium on Microarchitecture (MICRO'24), Nov 2024.
CoolDC: A Cost-Effective Immersion-Cooled Datacenters with Workload-Aware Temperature Scaling Dongmoon Min, Ilkwon Byun, Gyuhyeon Lee, and Jangwoo Kim ACM Transactions on Architecture and Code Optimization (TACO'24), May 2024.
A Fault-Tolerant Million Qubit-Scale Distributed Quantum Computer
Junpyo Kim, Dongmoon Min, Jungmin Cho, Hyeonseong Jeong, Ilkwon Byun, Junhyuk Choi, Juwon Hong, and Jangwoo Kim ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'24), April 2024.
Fast, Light-Weight, and Accurate Performance Evaluation using Representative Datacenter Behaviors
Jaewon Lee, Dongmoon Min, Ilkwon Byun, Hanhwi Jang, and Jangwoo Kim ACM/IFIP/USENIX International Middleware Conference (MIDDLEWARE'23), Dec. 2023.
QIsim: Architecting 10+K Qubit QC Interfaces Toward Quantum Supremacy Dongmoon Min, Junpyo Kim, Junhyuk Choi, Ilkwon Byun, Masamitsu Tanaka, Koji Inoue, and Jangwoo Kim ACM/IEEE International Symposium on Computer Architecture (ISCA'23), June 2023.
Is the Future Cold or Tall? Design Space Exploration of Cryogenic and 3D Embedded Cache Memory
Alexander Hankin, Lillian Pentecost, Dongmoon Min, David Brooks, and Gu-Yeon Wei IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS'23), April 2023.
3D-FPIM: An Extreme Energy-Efficient DNN Acceleration System Using 3D NAND Flash-Based In-Situ PIM Unit
Hunjun Lee, Minseop Kim, Dongmoon Min, Joonsung Kim, Jongwon Back, Honam Yoo, Jongho Lee, and Jangwoo Kim ACM/IEEE International Symposium on Microarchitecture (MICRO'22), Oct. 2022.
XQsim: Modeling Cross-Technology Control Processors to Realize 10+K Qubit Quantum Computers
Ilkwon Byun, Junpyo Kim, Dongmoon Min, Ikki Nagaoka, Kosuke Fukumitsu, Iori Ishikawa, Teruo Tanimoto, Masamitsu Tanaka, Koji Inoue, and Jangwoo Kim ACM/IEEE International Symposium on Computer Architecture (ISCA'22), June 2022.
CryoWire: Wire-Driven Microarchitecture Designs for Cryogenic Computing
*Dongmoon Min, *Yujin Chung, Ilkwon Byun, Junpyo Kim, and Jangwoo Kim ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'22), March 2022.
A Next-Generation Cryogenic Processor Architecture
*Ilkwon Byun, *Dongmoon Min, Gyuhyeon Lee, Seongmin Na, and Jangwoo Kim Top Pick in IEEE Micro Top Picks (TopPick'21), June 2021.
CryoGuard: A Near Refresh-Free Robust DRAM Design for Cryogenic Computing
Gyuhyeon Lee, Seongmin Na, Ilkwon Byun, Dongmoon Min, and Jangwoo Kim ACM/IEEE International Symposium on Computer Architecture (ISCA'21), June. 2021.
CryoCore: A Fast and Dense Processor Architecture for Cryogenic Computing
*Ilkwon Byun, *Dongmoon Min, Gyuhyeon Lee, Seongmin Na, and Jangwoo Kim ACM/IEEE International Symposium on Computer Architecture (ISCA'20), June. 2020.
CryoCache: A Fast, Large, and Cost-Effective Cache Architecture for Cryogenic Computing Dongmoon Min, Ilkwon Byun, Gyu-Hyeon Lee, Seongmin Na, and Jangwoo Kim ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'20), March 2020.
Cryogenic computer architecture modeling with memory-side case studies
*Gyu-Hyeon Lee, *Dongmoon Min, *Ilkwon Byun, and Jangwoo Kim ACM/IEEE International Symposium on Computer Architecture (ISCA'19), June 2019.
Technical Skills
Quantum Computing
Qubit Hamiltonian simulation
Quantum classical interface’s performance / power / error modeling
Quantum control processor’s performance / power / logical-error modeling
Quantum resource estimation (i.e., execution time, power, # of qubits)
Cryogenic Computing
300K/77K/4K CMOS device’s performance and power modeling
4K/mK superconductor device’s performance and power modeling
Cryogenic-optimal processor / cache / NoC / DRAM design
Performance Modeling
Full-system performance modeling and timing simulation
Processor / cache / NoC / DRAM's circuit frequency & power modeling