cv

Basics

Name Euijun Chung
Label CS PhD Student
Email euijun@gatech.edu
Url https://ejchung0406.github.io
Summary Euijun Chung is a 3rd-year CS PhD student at Georgia Tech. His research connects AI workloads with hardware and system design to understand and address performance bottlenecks. His work spans GPU microarchitectural simulation, emerging GPU memory systems, heterogeneous CPU–GPU systems, and GPU reliability and security.

Education

Work

  • 2026.05 - 2026.08

    Redmond, WA

    Research Intern at Software-Hardware Co-design (SHARC) Team
    Microsoft Research
    Analyzed CPU–GPU data movement bottlenecks in agentic LLM serving and proposed software optimizations to improve transfer efficiency and end-to-end performance.
  • 2025.05 - 2025.08

    Santa Clara, CA

    Research Associate at Advanced Memory Team
    AMD Research and Advanced Development (RAD)
    Proposed software techniques to improve memory locality and reduce remote HBM traffic in future multi-chiplet GPU architectures for LLM inference and training.

Teaching

  • 2024.05 - 2026.05
    Teaching Assistant, CS 7295: GPU Hardware & Software
    Georgia Institute of Technology
    Summer 2024, Fall 2025, Spring 2026.
    • Developed Macsim Mini, a lightweight GPU simulator used by ~1,000 graduate students across 9+ semesters to explore GPU microarchitectural concepts including warp scheduling and tensor core utilization.
    • Developed a course project on implementing FlashAttention-2 kernels in pure CUDA, covering prefill, decode, and KV cache management; serving 900+ students annually.
  • 2026.06 - 2026.08
    Contributing Author, Georgia Tech Academic AI Playbook
    Georgia Institute of Technology
    Co-authored an article on embedding guardrails in GPU programming assignments to discourage automated solution generation while preserving conceptual AI assistance.
  • 2025.10 - 2025.10
    Workshop Organizer, Vortex GPGPU Tutorial at MICRO 2025
    MICRO 2025
    Organized a hands-on tutorial on open-source GPGPU architecture.
  • 2021.09 - 2023.12
    Tutor, Freshman Tutoring Program
    KAIST
    Led weekly Calculus II lectures and office hours for KAIST freshmen across 4 semesters.

Awards

Interests

Research Interests
GPU microarchitectural simulation
Emerging GPU memory systems
Heterogeneous CPU–GPU systems
GPU reliability and security

References

Hyesoon Kim
Primary advisor at Georgia Tech.