Ph.D in Computer Science and Engineering at UNIST, Mar. 2019 - Aug. 2025 (Advisor: Prof. Young-ri Choi)
B.S in Computer Science and Engineering (Major) and Mathematical Science (Minor) at UNIST, Mar. 2014 - Feb. 2019
Research Interests
Distributed System for Deep Learning
Machine Learning Platform
Big Data Analytic Platform
Heterogeneous Resource Management and Scheduling
Cloud Computing and Virtualization
Publications
Gyeongchan Yun, Junesoo Kang, Hyunjoon Jeong, Sanghyeon Eom, Minsung Jang and Young-ri Choi,
JABAS: Joint Adaptive Batching and Automatic Scaling for DNN Training on Heterogeneous GPUs,
In Proceedings of the 20th European Conference on Computer Systems (EuroSys'25), 2025.
[top-tier] [paper]
[code]
[Acceptance rate: 12.2% (85/696)]
Jin Yang, Heejin Yoon, Gyeongchan Yun, Sam H. Noh, and Young‐ri Choi,
A Dynamic Characteristic Aware Index Structure Optimized for Real-world Datasets,
ACM Transactions on Storage, (TOS), 2025.
[paper]
Jin Yang, Heejin Yoon, Gyeongchan Yun, Sam H. Noh, and Young‐ri Choi,
DyTIS: A Dynamic Dataset Targeted Index Structure Simultaneously Efficient for Search, Insert, and Scan,
Proceedings of the 18th European Conference on Computer Systems (EuroSys'23), 2023.
[top-tier] [paper] [code]
[Acceptance rate: 16.7% (54/323)]
Jay H. Park, Gyeongchan Yun, Chang M. Yi, Nguyen T. Nguyen, Seungmin Lee, Jaesik Choi, Sam H. Noh, and Young‐ri Choi,
HetPipe: Enabling Large DNN Training on (Whimpy) Heterogeneous GPU Clusters through Integration of Pipelined Model Parallelism and Data Parallelism,
Proceedings of the 2020 USENIX Annual Technical Conference (USENIX ATC '20), 2020.
[top-tier] [paper]
[Acceptance rate: 18.7% (65/348)]
Talks & Presentations
JABAS: Joint Adaptive Batching and Automatic Scaling for DNN Training on Heterogeneous GPUs,
the 20th European Conference on Computer Systems (EuroSys'25), 2025.
[poster & presentation]
JABAS: Joint Adaptive Batching and Automatic Scaling for DNN Training on Heterogeneous GPUs,
the 1st International Workshop on Systems and Methods for Sustainable Large-Scale AI (GreenSys), 2025.
[workshop]
