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Gangmuk Lim

PhD student in Computer Science at UIUC

PhD in Computer Science

PhD in Computer Science

University of Illinois Urbana-Champaign
2022 - 2027 (expected)

MS in Computer Science

UNIST
2019 - 2021

BS in Computer Sciene

UNIST
2012 - 2019 (including 2 years of military service.)

Languages

  • English (Professional)
  • Korean (Native)

About Theme

Career Profile

Hello, I am a first year PhD student in Computer Science at the University of Illinois Urbana-Champaign. I am advised by prof.Brighten Godfrey. My research interest lies in large scale multi-tenant cloud system and system for machine learning. Currently, I am focusing on Microservice architecture and systems for machine laerning. I am looking for a 2023 summer PhD internship.

Publications

  • Zico Efficient GPU Memory Sharing for Concurrent DNN Training.
    • Gangmuk Lim, Jeongseob Ahn, Wencong Xiao, Youngjin Kwon, Myeongjae Jeon.
    USENIX Annual Technical Conference (USENIX ATC), Jul. 2021.
  • Approximate Quantiles for Data Center Telemetry Monitoring.
    • Gangmuk Lim, Myeongjae Jeon, Stavros Volos, Mohamed Hassan, Ze Jin.
    IEEE International Conference on Data Engineering (IEEE ICDE), Apr. 2020. (Short)

    Experiences

    Graduate Research Assistant

    Aug 2022 - Present
    University of Illinois Urbana-Champaign, Champaign, IL

    Research Intern

    Aug 2021 - Apr 2022
    Rebellions Inc., Seongname, South Korea

    Implementing a software system that simulates SoC environment in software for debugging and for performance analysis of deep learning kernels.

    Graduate Research Assistant

    Aug 2019 - Jul 2021
    Ulsan National Institute of Science and Technology(UNIST), Ulsan, South Korea

    Designed and implemented a system supporting GPU sharing across concurrent DNN training jobs. Devised an efficient and accurate quantile approximation algorithm for datacenter telemetry monitoring.

    • Advisor: Prof.Myeongjae Jeon

    Undergraduate Research Intern

    Jul 2018 - Aug 2018
    Ulsan National Institute of Science and Technology(UNIST), Ulsan, South Korea

    Corporate revenue data and related sentence data collection from company quaterly reports for training stock price estimation NLP model.

    • Advisor: Prof. Jaesik Choi

    Research Intern

    Jul 2018 - Aug 2018
    IDLab-MEDIA, Ghent University, Ghent, Belgium

    Wrote a script using Unreal Engine 4 that generates super resolution panoramic image dataset for light field experiment in virtual reality.

    • Supervisor: Ignace Saenan

    Skills & Proficiency

    C++

    Python

    TensorFlow

    PyTorch