Geon-Woo Kim

According to our database, Geon-Woo Kim authored at least 12 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

HALoS: Hierarchical Asynchronous Local SGD over Slow Networks for Geo-Distributed Large Language Model Training.

Geon-Woo Kim, Junbo Li, Shashidhar Gandham, Omar Baldonado, Adithya Gangidi, Pavan Balaji, Zhangyang Wang, Aditya Akella

CoRR, June, 2025

Toward Cost-Efficient Serving of Mixture-of-Experts with Asynchrony.

Shaoyu Wang, Guangrong He, Geon-Woo Kim, Yanqi Zhou, Seo Jin Park

CoRR, May, 2025

OMEGA: A Low-Latency GNN Serving System for Large Graphs.

Geon-Woo Kim, Donghyun Kim, Jeongyoon Moon, Henry Liu, Tarannum Khan, Anand Iyer, Daehyeok Kim, Aditya Akella

CoRR, January, 2025

LLM-based Methodology for Expanding 3D Metadata in Point Cloud.

Geon-Woo Kim, Joo-Chang Kim

Proceedings of the 27th International Conference on Advanced Communications Technology, 2025

StitchLLM: Serving LLMs, One Block at a Time.

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Extraction of Meta-Data for Recommendation Using Keyword Mapping.

Geon-Woo Kim, Woo-Hyeon Kim, Kyungyong Chung, Joo-Chang Kim

IEEE Access, 2024

Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design.

Ruisi Cai, Yeonju Ro, Geon-Woo Kim, Peihao Wang, Babak Ehteshami Bejnordi, Aditya Akella, Zhangyang Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Lovelock: Towards Smart NIC-hosted Clusters.

Seo Jin Park, Ramesh Govindan, Kai Shen, David E. Culler, Fatma Özcan, Geon-Woo Kim, Hank Levy

CoRR, 2023

2022

Orca: A Distributed Serving System for Transformer-Based Generative Models.

Gyeong-In Yu, Joo Seong Jeong, Geon-Woo Kim, Soojeong Kim, Byung-Gon Chun

Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation, 2022

2021

Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs.

Taebum Kim, Eunji Jeong, Geon-Woo Kim, Yunmo Koo, Sehoon Kim, Gyeong-In Yu, Byung-Gon Chun

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Apache Nemo: A Framework for Building Distributed Dataflow Optimization Policies.

Youngseok Yang, Jeongyoon Eo, Geon-Woo Kim, Jooyeon Kim, Sanha Lee, Jangho Seo, Won Wook Song, Byung-Gon Chun

Proceedings of the 2019 USENIX Annual Technical Conference, 2019

2017

Pado: A Data Processing Engine for Harnessing Transient Resources in Datacenters.

Youngseok Yang, Geon-Woo Kim, Won Wook Song, Yunseong Lee, Andrew Chung, Zhengping Qian, Brian Cho, Byung-Gon Chun

Proceedings of the Twelfth European Conference on Computer Systems, 2017