Dongmoon Min

Seoul National University (SNU), Seoul, South Korea dongmoon.min@snu.ac.kr

Hi! I am currently a Ph.D. candidate in Electrical and Computer Engineering at Seoul National University with Prof. Jangwoo Kim and High Performance Computer System Lab. I am also the committee of IEEE IRDS for Cryogenic Electronics and Quantum Information Processing (CEQIP). Before joining my lab, I received my B.S. degree in Electrical and Computer Engineering from Seoul National University. If you are interested in talking to me, please contact me via the e-mail, dongmoon.min@snu.ac.kr.


Research Interests

Cryogenic Computing

Novel solution for the next-generation computer systems

Cryogenic computing, which runs computers at extremely low-temperature (e.g., 77K), can be one of the highly promising solution to overcome the computer's performance challenges (i.e., power wall and the memory wall problems). It also can contribute to quantum computing as a controlling module running at low temperatures (e.g., 4K).

[ISCA'19], [ASPLOS'20], [ISCA'20], [ISCA'21], [Top Picks'21], [ASPLOS'22]

Performance Modeling

Techniques for estimating the technology's potential and the design directions

Performance models are the most essential tools to evaluate design decisions for improving computer systems. I'm currently interested and engaged in performance modeling for designing, deploying, and evaluating the computer systems before developing prototypes.

[ISCA'19], [ASPLOS'20], [ISCA'20], [Top Picks'21], [ASPLOS'22], [ISCA'22], [MICRO'22]

Quantum Computing

I'm also interested in research of quantum computing, expecially for developing its performance/timing simulator and controlling modules (equipped with the CMOS-based cryogenic computer devices).

[ISCA'22]

Education

Seoul National University (SNU)

Ph.D. candidate in Electrical and Computer Engineering

Advisor: Prof. Jangwoo Kim

September 2018 - Now (2022)

Seoul National University (SNU)

B.S. in Electrical and Computer Engineering

Magna Cum Laude

March 2012 - August 2018

Publications

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
55th ACM/IEEE International Symposium on Microarchitecture (MICRO), October 2022.
(*Both authors equally contributed to the paper.)

Accept Rate: 24.9% (83/348)
Modeling Processing In Memory (PIM) AL/Deep Learning Memory

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
49th ACM/IEEE International Symposium on Computer Architecture (ISCA), June 2022.
Accept Rate: 16.8% (67/398)
Modeling Cryogenic Superconducting Quantum Computing

CryoWire: Wire-Driven Microarchitecture Designs for Cryogenic Computing

*Dongmoon Min, *Yujin Chung, Ilkwon Byun, Junpyo Kim, and Jangwoo Kim
25th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), March 2022.
(*Both authors equally contributed to the paper.)
Accept Rate: 20.1% (80/397)
Modeling Cryogenic Microarchitecture Network-on-Chip

A Next-Generation Cryogenic Processor Architecture

*Ilkwon Byun, *Dongmoon Min, Gyuhyeon Lee, Seongmin Na, and Jangwoo Kim
Top Pick in IEEE Micro Top Picks
(*Both authors equally contributed to the paper.)
(Accept Rate: 9.9% (12/121))
Modeling Cryogenic Microarchitecture

CryoGuard: A Near Refresh-Free Robust DRAM Design for Cryogenic Computing

Gyuhyeon Lee, Seongmin Na, Ilkwon Byun, Dongmoon Min, and Jangwoo Kim
48th ACM/IEEE International Symposium on Computer Architecture (ISCA), June. 2021.
Accept Rate: 18.7% (76/406)
Cryogenic Memory Security

CryoCore: A Fast and Dense Processor Architecture for Cryogenic Computing

*Ilkwon Byun, *Dongmoon Min, Gyuhyeon Lee, Seongmin Na, and Jangwoo Kim
47th ACM/IEEE International Symposium on Computer Architecture (ISCA), June. 2020.
(*Both authors equally contributed to the paper.)
Accept Rate: 18.2% (77/421)
Also appears in IEEE Micro Top Picks (Accept Rate: 9.9% (12/121))
Modeling Cryogenic Microarchitecture

CryoCache: A Fast, Large, and Cost-Effective Cache Architecture for Cryogenic Computing

Dongmoon Min, Ilkwon Byun, Gyuhyeon Lee, Seongmin Na, and Jangwoo Kim
25th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), March 2020.
Accept Rate: 18.0% (86/476)
Modeling Cryogenic Memory

Cryogenic computer architecture modeling with memory-side case studies

*Gyu-Hyeon Lee, *Dongmoon Min, *Ilkwon Byun, and Jangwoo Kim
46th ACM/IEEE International Symposium on Computer Architecture (ISCA), June 2019.
(*Three authors equally contributed to the paper.)
Accept Rate: 16.9% (62/365)
Modeling Cryogenic Memory


Honors and Awards

IEEE Micro Top Picks 2021

-Selected as one of the best 12 papers published in 2020.
-First Top Picks paper directed by Korean Institutes

June 2021

Global Ph.D. Fellowship

글로벌 박사 펠로우십, National Research Foundation of Korea (NRF)
-The MOST honorable fellowship in South Korea ($100,000+)
-Also selected as one of 27 excellent researchers among 216 fellowers ($3,000)
-Accept Rate: 15.2% (216/1423)

March 2019 - Now (2022)

Open Source

CryoModel

The OpenSource latency / power / area modeling tools for 77K-cryogenic CMOS devices
(DRAM memory, SRAM/eDRAM cache, and CPU pipeline)

https://github.com/SNU-HPCS/CryoModel


Teaching Experience

Teaching Assistant


SNU, ECE201: Digital Logic Design and Lab (Fall 2019)
SNU, ECE322: Computer Organization (Spring 2019)
SNU, ECE201: Digital Logic Design and Lab (Fall 2018)