My name is Gangmuk Lim. I am a Ph.D. student at the Computer Science Department of the University of Illinois Urbana-Champaign, working with Professor Brighten Godfrey, and also closely working with Professor Radhika Mittal. Before starting my Ph.D., I earned my Bachelor and Master at the Computer Science at UNIST, South Korea, working with Professor Myeongjae Jeon.

My research primarily revolves around improving performance and resilience of microservice applications in the cloud, making cluster management system more reliable, and improving performance & resource utilization for machine learning applications.

You can find my full CV here.
Most likely, you can find me at Siebel building on 3rd floor at Urbana, IL.
LinkedIn, GitHub

News!

• Started an internship at Serverless infrastructure team, Bytedance. Cloud-native infrastructure GenAI inference. (project AIBrix)
• Opportunities and Challenges in Service Layer Traffic Engineering accepted to HotNets '24. See you at Irvine, CA!
• Kivi accepted to USENIX ATC '24. paper (Thanks to USENIX ATC for the travel grant that helped me attend!)
• Gave a talk at KubeCon '23 about Kivi. talk
• Gave a talk at EnvoyCon '23 about SLATE. talk
• Gave a talk at IstioCon '23 about SLATE.

Publication

• Opportunities and Challenges in Service Layer Traffic Engineering
  Gangmuk Lim^*, Aditya Prerepa^*, Brighten Godfrey, Radhika Mittal
  HotNets 2024
• Kivi: Verification for Cluster Management
  Bingzhe Liu, Gangmuk Lim, Ryan Beckett, P. Brighten Godfrey.
  USENIX Annual Technical Conference, 2024
• Zico: Efficient GPU Memory Sharing for Concurrent DNN Training
  Gangmuk Lim, Jeongseob Ahn, Wencong Xiao, Youngjin Kwon, Myeongjae Jeon.
  USENIX Annual Technical Conference, 2021
• Approximate Quantiles for Data Center Telemetry Monitoring
  Gangmuk Lim, Myeongjae Jeon, Stavros Volos, Mohamed Hassan, Ze Jin.
  IEEE ICDE 2020 short