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