Jonghyun Choe
Hi, I am an undergraduate student majoring in Computer Science at Seoul National University.
I am interested in areas of large-scale systems, computer architecture, and hardware/software co-design. My goal is to optimize emerging workloads across the software, hardware stack to improve the efficiency of large-scale systems.
I lived abroad in United States and China for 10 years. I really enjoy learning new things and connecting with people, so please feel free to reach out for a talk!
News
Mar 15, 2025 | Our paper “Worst Case Response Time Analysis for Completely Fair Scheduling in Linux Systems” is accepted to Real-Time Systems Journal! |
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Feb 5, 2025 | I started participating in AI Compiler Study, led by Taehoon Kim. Our goal is to study reverse engineering of DeepSeek-V3 and implement optimization techniques. |
Jan 22, 2025 | I won the Grand Prize at 2025 AWS Solve-A-Thon! Our project aimed to improve reasoning ability of younger generations through guidance generated with LLM. |
Sep 10, 2024 | I attended IEEE ETFA 2024 held in Padova, Italy with the generous funding from Specialized Semiconductor Scholarship. |
Mar 15, 2024 | I received Outstanding Teaching Assistant Award for Computer Architecture course. |
Feb 24, 2024 | I won 1st place at Accelerator Programming School CUDA Competition with Jake Hyun. |
About
Education
-
2019.03 - Present Bachelor of Science
Seoul National University
Computer Science and Engineering
- GPA: 3.81/4.0 (cumulative), 4.0/4.0 (final 2 years)
Awards
- 2024.02.01
1st Place, Accelerator Programming School CUDA Competition
Next Generation Supercomputing Center
Achieved 50,000 times speedup in model inference throughput through CUDA optimizations
- 2024.02.01
Full Merit Scholarship
Seoul National University
Full tuition awarded for outstanding academic performance
- 2017.12.01
USA Mathematical Olympiad Qualifier
American Mathematics Competitions
Top 250 out of 500,000 participants in the U.S. math competition
Publications
Work
- 2024.01 - 2024.10
Research Intern
Architecture and Code Optimization Lab
Advisor: Prof. Jae W. Lee, SNU
- Researched CPU architecture for hiding memory stall latency through software-defined context
- Researched dynamic low-rank approximation to improve LLM inference
- 2023.07 - 2023.08
Research Intern
Co-design and Parallel Processing Lab
Advisor: Prof. Soonhoi Ha, SNU
- Developed Linux scheduler simulator for schedulability analysis
- Researched probabilistic schedulability analysis for more efficient task scheduling and higher system utilization
- 2021.06 - 2023.06
Backend Engineer
Dunamu Inc.
- Architected robust user information collection system, handling large-scale workload from 600,000 users
- Increased user engagement by 82.28% in community service by adding general stock forum and stockholder filters
- 2020.12 - 2021.02
Data Analyst Intern
Hanwha Asset Management
- Assisted in developing Korea’s first proprietary ESG evaluation system, establishing a structured process for assessing sustainability metrics across 1,000+ companies
- Contributed to data migration by cleaning and validating data from legacy systems
- 2019.12 - 2020.08
Research Intern
Big Data Studies Lab
Advisor: Prof. Javier Cha, SNU
- Researched energy efficiency of data centers, evaluating hardware, power delivery, and cooling components
- Analyzed physical limitations of storage devices affecting big data operations
Languages
Korean | |
Native |
English | |
Fluent |