Hunjun Lee (이헌준) High Performance Computer System Lab Automation and Systems Research Institute (ASRI) Seoul National University 133-413, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, South Korea Email: hunjunlee7515@snu.ac.kr [Google Scholar] [dblp] [CV]

I am a researcher at the Automation and Systems Research Institute (ASRI), advised by Prof. Jangwoo Kim.

During my Ph.D., I mostly focused on designing an optimal brain modeling architecture with flexible, efficient, and scalable brain simulation support (FlexBrain Project).

And I'm currently extending the project to design an architecture that cooperates with the biological system to realize true biological intelligence.

I'm also interested in other computer architecture topics including deep/machine learning accelerators, process-in-memory architectures, and CPU microarchitectures.

Invited Talks

• An Extreme Energy-Efficient In-Memory DNN Acceleration Using 3D NAND Flash presented at Electronics and Telecommunications Research Institute (ETRI), March 13th, 2023
• Next-Generation Computer Architecture for Brain-Inspired Computing presented at Seoul National University AI Summer Camp, August 3rd, 2022
  Talk Link

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, Jong-Ho Lee, and Jangwoo Kim
  Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture (MICRO), Oct. 2022.
  Paper Code
  PIM Architecture Deep Learning
  

• NeuroSync: A Scalable and Accurate Brain Simulation System Using Safe and Efficient Speculation
  Hunjun Lee, Chanmyeong Kim, Minseop Kim, Yujin Chung, and Jangwoo Kim
  Proceedings of the 28th IEEE International Symposium on High-Performance Computer Architecture (HPCA), Apr. 2022.
  Paper Short Talk Link Long Talk Link Code
  Architecture Neuromorphic
  

• UC-Check: Characterizing Micro-operation Caches in x86 Processors and Implications in Security and Performance
  Joonsung Kim, Hamin Jang, Hunjun Lee, Seungho Lee, and Jangwoo Kim
  Proceedings of the 54th IEEE/ACM International Symposium on Microarchitecture (MICRO), Oct. 2021.
  Paper Code
  Security Architecture
  

• An Accurate and Fair Evaluation Methodology for SNN-Based Inferencing with Full-Stack Hardware Design Space Explorations
  Hunjun Lee, Chanmyeong Kim, Seungho Lee, Eunjin Baek, and Jangwoo Kim
  Neurocomputing, Sep 2021.
  Paper
  SCIE Q1 Architecture Neuromorphic Deep Learning
  

• NeuroEngine: A Hardware-based Event-driven Simulation System for Advanced Brain-inspired Computing
  Hunjun Lee, Chanmyeong Kim, Yujin Chung, and Jangwoo Kim
  Proceedings of the 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), Apr 2021.
  Paper Short Talk Link Long Talk Link
  Architecture Neuromorphic
  

• FlexLearn: Fast and Highly Efficient Brain Simulations Using Flexible On-Chip Learning
  *Eunjin Baek, *Hunjun Lee, Youngsok Kim, and Jangwoo Kim
  Proceedings of the 52nd ACM/IEEE International Symposium on Microarchitecture (MICRO), Oct 2019.
  (*Two authors contributed equally to the paper.)
  Paper Short Talk Link
  Architecture Neuromorphic
  

Education

• Ph.D., Electrical and Computer Engineering, Seoul National University
  • Mar. 2018 – Aug. 2023
• B.S., Electrical and Computer Engineering, Seoul National University
  • Mar. 2014 – Feb. 2018

Academic Services

Journal Reviews

• IEEE TC 2023
• ACM TACO 2023
• IEEE CAL 2023
• Parallel Computing 2022

Honors and Awards

• Global Ph.D. Fellowship (글로벌 박사 펠로우십)
  • National Research Foundation of Korea (NRF)
  • Mar. 2019 – Current

Teaching Experience

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