Geon-Woo Kim

15 papers A* 4A 1Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A* conf
HALoS: Hierarchical Asynchronous Local SGD over Slow Networks for Geo-Distributed Large Language Model Training.
ICML
Geon-Woo Kim, Junbo Li, Shashidhar Gandham, Omar Baldonado, Adithya Gangidi, Pavan Balaji, Zhangyang Wang, Aditya Akella
2025 J jnl
HALoS: Hierarchical Asynchronous Local SGD over Slow Networks for Geo-Distributed Large Language Model Training.
CoRR
Geon-Woo Kim, Junbo Li, Shashidhar Gandham, Omar Baldonado, Adithya Gangidi, Pavan Balaji, Zhangyang Wang, Aditya Akella
2025 — conf
LLM-based Methodology for Expanding 3D Metadata in Point Cloud.
ICACT
Geon-Woo Kim, Joo-Chang Kim
2025 J jnl
OMEGA: A Low-Latency GNN Serving System for Large Graphs.
CoRR
Geon-Woo Kim, Donghyun Kim, Jeongyoon Moon, Henry Liu, Tarannum Khan, Anand Iyer, Daehyeok Kim, Aditya Akella
2025 — conf
StitchLLM: Serving LLMs, One Block at a Time.
ACL (1)
Bodun Hu, Shuozhe Li, Saurabh Agarwal, Myungjin Lee, Akshay Jajoo, Jiamin Li, Le Xu, Geon-Woo Kim, Donghyun Kim, Hong Xu, Amy Zhang, Aditya Akella
2025 J jnl
Toward Cost-Efficient Serving of Mixture-of-Experts with Asynchrony.
CoRR
Shaoyu Wang, Guangrong He, Geon-Woo Kim, Yanqi Zhou, Seo Jin Park
2024 J jnl
Extraction of Meta-Data for Recommendation Using Keyword Mapping.
IEEE Access
Geon-Woo Kim, Woo-Hyeon Kim, Kyungyong Chung, Joo-Chang Kim
2024 A* conf
Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design.
NeurIPS
Ruisi Cai, Yeonju Ro, Geon-Woo Kim, Peihao Wang, Babak Ehteshami Bejnordi, Aditya Akella, Zhangyang Wang
2024 J jnl
Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design.
CoRR
Ruisi Cai, Yeonju Ro, Geon-Woo Kim, Peihao Wang, Babak Ehteshami Bejnordi, Aditya Akella, Zhangyang Wang
2023 J jnl
Lovelock: Towards Smart NIC-hosted Clusters.
CoRR
Seo Jin Park, Ramesh Govindan, Kai Shen, David E. Culler, Fatma Özcan, Geon-Woo Kim, Hank Levy
2022 A* conf
Orca: A Distributed Serving System for Transformer-Based Generative Models.
OSDI
Gyeong-In Yu, Joo Seong Jeong, Geon-Woo Kim, Soojeong Kim, Byung-Gon Chun
2022 J jnl
Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs.
CoRR
Taebum Kim, Eunji Jeong, Geon-Woo Kim, Yunmo Koo, Sehoon Kim, Gyeong-In Yu, Byung-Gon Chun
2021 A* conf
Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs.
NeurIPS
Taebum Kim, Eunji Jeong, Geon-Woo Kim, Yunmo Koo, Sehoon Kim, Gyeong-In Yu, Byung-Gon Chun
2019 — conf
Apache Nemo: A Framework for Building Distributed Dataflow Optimization Policies.
USENIX ATC
Youngseok Yang, Jeongyoon Eo, Geon-Woo Kim, Jooyeon Kim, Sanha Lee, Jangho Seo, Won Wook Song, Byung-Gon Chun
2017 A conf
Pado: A Data Processing Engine for Harnessing Transient Resources in Datacenters.
EuroSys
Youngseok Yang, Geon-Woo Kim, Won Wook Song, Yunseong Lee, Andrew Chung, Zhengping Qian, Brian Cho, Byung-Gon Chun