Big Data System Software (BigDataSys) Lab

We design and build systems that efficiently and reliably process and store large volumes of data in terms of performance, reliability, power, and cost. We are interested in the broad area of system software including operating systems, storage systems, concurrency, and machine learning for systems. All research and study in our lab will begin with your interests, curiosity and self-motivation.

Research Interests
  • Operating Systems
  • Storage System
  • Concurrency for Many-core Machine
  • Artificial Intelligence Systems

News


The BigDataSysLab lead by
Professor Jaeho Kim has openings for undergraduate and (potential) graduate students.
If you are interested in building and breaking systems with us, feel free to ping us by email or drop by our lab.