Gwangoo Yeo

Gwangoo Yeo

Ph.D. Student @ Vertically Integrated Architecture Research Group
KAIST, School of Electrical Engineering

Education

Ph.D. in School of Electrical Engineering Korea Advanced Institute of Science and Technology (KAIST)
Mar. 2024 – Present
Advisor: Prof. Minsoo Rhu
M.S. in School of Electrical Engineering Korea Advanced Institute of Science and Technology (KAIST) Thesis: An FPGA-Based Preprocessing System for GPU-Partitioned Machine Learning Inference Server
Mar. 2022 – Feb. 2024
Advisor: Prof. Minsoo Rhu
B.S. in School of Electrical Engineering Korea Advanced Institute of Science and Technology (KAIST)
Mar. 2016 – Feb. 2022
Double Major in School of Computer Science

Publications

PREBA: A Hardware-Software Co-Design for Multi-Instance GPU based AI Inference Servers
Jiin Kim*, Gwangoo Yeo*, Yujeong Choi, and Minsoo Rhu (*co-first authors)
The 63rd ACM/IEEE Design Automation Conference (DAC-63), 2026
ZipFlow: a Compiler-based Framework to Unleash Compressed Data Movement for Modern GPUs
Gwangoo Yeo, Zhiyang Shen, Wei Cui, Matteo Interlandi, Rathijit Sen, Bailu Ding, Qi Chen, and Minsoo Rhu
The 52nd International Conference on Very Large Data Bases (VLDB), 2026

Experience

Research Internship Microsoft Research, Vancouver, Canada
Mar. 2025 – Jun. 2025
Mentor: Wei Cui
Research Internship Microsoft Research Asia, Beijing, China
Sep. 2024 – Mar. 2025
Mentor: Wei Cui
Undergraduate Research Intern Vertically Integrated Architecture Research Group, KAIST
Mar. 2020 – Dec. 2020
Advisor: Prof. Minsoo Rhu
Undergraduate Research Intern KAIST
Jun. 2018 – Aug. 2018
Advisor: Prof. Seonghwan Cho

Teaching & Services

Teaching Assistant EE30012: Computer Architecture
Spring 2024, Spring 2026
Teaching Assistant EE30005: Introduction to Electronics Design Lab
Fall 2025
Artifact Evaluation Committee HPCA-2026
2026

Skills

Programming

C, C++, Python, CUDA, Verilog, Vivado HLS, MATLAB, Java

Platforms & Frameworks

PyTorch, OpenCL, Vitis, Vivado

Email copied to clipboard