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Basics

Name Euijun Chung
Label CS PhD Student
Email euijun@gatech.edu
Summary Euijun Chung is a 3rd-year CS PhD student at Georgia Tech, focusing on GPU architecture and systems for machine learning. His research interests are cycle-level GPU simulation and performance modeling, GPU memory safety, emerging memory systems for GPUs, and Multi-GPU systems.

Work

  • 2026.05 - 2026.08

    Redmond, Washington

    Incoming Research Intern at Software-Hardware Co-design (SHARC) Team
    Microsoft Research
    Research focus: Performance optimization of CPU-GPU heterogeneous systems.
    • CPU-GPU heterogeneous systems
  • 2025.05 - 2025.08

    Santa Clara, California

    Research Associate at Advanced Memory Team
    AMD Research and Advanced Development (RAD)
    Proposed a near-zero-cost algorithmic improvement for future chiplet-based GPU architectures, significantly reducing remote HBM traffic during end-to-end LLM inference and training.
    • Chiplet-based GPU architectures
    • LLM inference and training
    • Remote HBM traffic reduction

Education

Awards

Interests

Research Interests
GPU architecture and systems for ML
Cycle-level GPU simulation and performance modeling
GPU memory safety
Emerging memory systems for GPUs
Multi-GPU systems

References

Hyesoon Kim
Primary advisor at Georgia Tech. Expert in GPU architecture and simulation.