Our Research
![](https://omnia.unist.ac.kr/wp-content/uploads/2023/10/farming.png)
![](https://omnia.unist.ac.kr/wp-content/uploads/2023/10/edge-computing-e1697954664669.png)
![](https://omnia.unist.ac.kr/wp-content/uploads/2023/07/System1-e1690112105138.png)
![](https://omnia.unist.ac.kr/wp-content/uploads/2023/07/BigData-e1690112089801.png)
We have a portfolio of ambitious research projects with high impact potential, both academically and in practice. To advance the boundaries of scientific knowledge, practicality, and usability in a harmonious way, we pursue close collaborations with people from academia and industry.[Read More…]
Selected Publications
FusionFlow: Accelerating Data Preprocessing for Machine Learning with CPU-GPU Cooperation
Taeyoon Kim, Chanho Park, Mansur Mukimbekov, Heelim Hong, Minseok Kim, Ze Jin, Changdae Kim, Ji-Yong Shin, Myeongjae Jeon
Cost-effective On-device Continual Learning over Memory Hierarchy with Miro
Xinyue Ma, Suyeon Jeong, Minjia Zhang, Di Wang, Jonghyun Choi, Myeongjae Jeon
CarM: Hierarchical Episodic Memory for Continual Learning
Soobee Lee, Minindu Weerakoon, Jonghyun Choi, Minjia Zhang, Di Wang, Myeongjae Jeon
Jarvis: Large-scale Server Monitoring with Adaptive Near-data Processing
Atul Sandur, ChanHo Park, Stavros Volos, Gul Agha, Myeongjae Jeon
Zico: Efficient GPU Memory Sharing for Concurrent DNN Training
Gangmuk Lim, Jeongseob Ahn, Wencong Xiao, Youngjin Kwon, Myeongjae Jeon
Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads
Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, Junjie Qian, Wencong Xiao, Fan Yang