OMNIA
Doing cutting-edge research on large-scale systems
Our research interests span distributed systems, data analytics engines, computer architecture, and applied machine learning. Our research goal is to advance the state of the art in emerging large-scale computing platforms by making them more efficient, responsive, intelligent and programmable. Our current research topics at UNIST are on the following areas:



Latest News
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Research on learning-enhanced predictive DNN cluster scheduling is funded by Samsung datacenter.
Oct 2020 -
DNN data loading project is selected as a finalist for Facebook Research Award.
Jul 2020 -
Tuan Tran and Daniyar Maminov join as interns.
Apr 2020 -
AOMG is accepted to appear at ICDE’20 as a short paper.
Feb 2020 -
Research on accelerating DNN data loading is funded by ETRI.
Feb 2020 -
Research on enhancing GPU utilization in DNN cluster is funded by Samsung Advanced Institute of Technology.
Feb 2020 -
ChanHo and Soobee join as MS students, and Taeyoon Kim joins as an intern.
Feb 2020