Woo-Yeon Lee

According to our database, Woo-Yeon Lee authored at least 6 papers between 2015 and 2023.

Collaborative distances:

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

2023

FastFlow: Accelerating Deep Learning Model Training with Smart Offloading of Input Data Pipeline.

Taegeon Um, Byungsoo Oh, Byeongchan Seo, Minhyeok Kweun, Goeun Kim, Woo-Yeon Lee

Proc. VLDB Endow., 2023

2022

PokéMem: Taming Wild Memory Consumers in Apache Spark.

Minhyeok Kweun, Goeun Kim, Byungsoo Oh, Seongho Jung, Taegeon Um, Woo-Yeon Lee

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

2021

Harmony: A Scheduling Framework Optimized for Multiple Distributed Machine Learning Jobs.

Woo-Yeon Lee, Yunseong Lee, Won Wook Song, Youngseok Yang, Jooyeon Kim, Byung-Gon Chun

Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

2020

Lineage Checkpoint Approach for Long-lineage Problem in Apache Spark.

Minhyeok Kweun, Woo-Yeon Lee, Goeun Kim, Jisoo Hwang, Yoonkyong Lee

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Automating System Configuration of Distributed Machine Learning.

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

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

2015

Elastic Memory: Bring Elasticity Back to In-Memory Big Data Analytics.

Joo Seong Jeong, Woo-Yeon Lee, Yunseong Lee, Youngseok Yang, Brian Cho, Byung-Gon Chun

Proceedings of the 15th Workshop on Hot Topics in Operating Systems, 2015