Hyunseung Jei

According to our database, Hyunseung Jei authored at least 5 papers between 2018 and 2021.

Collaborative distances:

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

2021

ALADDIN: Asymmetric Centralized Training for Distributed Deep Learning.

Yun-Yong Ko, Kibong Choi, Hyunseung Jei, Dongwon Lee, Sang-Wook Kim

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Towards an optimized distributed deep learning framework for a heterogeneous multi-GPU cluster.

Youngrang Kim, Hyeonseong Choi, Jaehwan Lee, Jik-Soo Kim, Hyunseung Jei, Hongchan Roh

Clust. Comput., 2020

Comprehensive techniques of multi-GPU memory optimization for deep learning acceleration.

Youngrang Kim, Jaehwan Lee, Jik-Soo Kim, Hyunseung Jei, Hongchan Roh

Clust. Comput., 2020

2019

Efficient Large-Scale Deep Learning Framework for Heterogeneous Multi-GPU Cluster.

Youngrang Kim, Hyeonseong Choi, Jaehwan Lee, Jik-Soo Kim, Hyunseung Jei, Hongchan Roh

Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems, 2019

2018

Efficient Multi-GPU Memory Management for Deep Learning Acceleration.

Youngrang Kim, Jaehwan Lee, Jik-Soo Kim, Hyunseung Jei, Hongchan Roh

Proceedings of the 2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems (FAS*W), 2018