Woo-Yeon Lee

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 6

Top Topics

Heterogeneous Databases

Scheduling Policies

Top Venues

Proc. VLDB Endow.

Publications

Taegeon Um, Byungsoo Oh, Minyoung Kang, Woo-Yeon Lee, Goeun Kim, Dongseob Kim, Youngtaek Kim, Mohd Muzzammil, Myeongjae Jeon
Metis: Fast Automatic Distributed Training on Heterogeneous GPUs. USENIX ATC (2024)
Taegeon Um, Byungsoo Oh, Byeongchan Seo, Minhyeok Kweun, Goeun Kim, Woo-Yeon Lee
FastFlow: Accelerating Deep Learning Model Training with Smart Offloading of Input Data Pipeline. Proc. VLDB Endow. 16 (5) (2023)
Minhyeok Kweun, Goeun Kim, Byungsoo Oh, Seongho Jung, Taegeon Um, Woo-Yeon Lee
PokéMem: Taming Wild Memory Consumers in Apache Spark. IPDPS (2022)
Woo-Yeon Lee, Yunseong Lee, Won Wook Song, Youngseok Yang, Jooyeon Kim, Byung-Gon Chun
Harmony: A Scheduling Framework Optimized for Multiple Distributed Machine Learning Jobs. ICDCS (2021)
Minhyeok Kweun, Woo-Yeon Lee, Goeun Kim, Jisoo Hwang, Yoonkyong Lee
Lineage Checkpoint Approach for Long-lineage Problem in Apache Spark. IEEE BigData (2020)
Woo-Yeon Lee, Markus Weimer, Brian Cho, Byung-Gon Chun, Yunseong Lee, Joo Seong Jeong, Gyeong-In Yu, Jooyeon Kim, Hojin Park, Beomyeol Jeon, Won Wook Song, Gunhee Kim
Automating System Configuration of Distributed Machine Learning. ICDCS (2019)
Joo Seong Jeong, Woo-Yeon Lee, Yunseong Lee, Youngseok Yang, Brian Cho, Byung-Gon Chun
Elastic Memory: Bring Elasticity Back to In-Memory Big Data Analytics. HotOS (2015)