Efficient Multi-GPU Memory Management for Deep Learning Acceleration. - Youngrang Kim; Jaehwan Lee 001; Jik-Soo Kim; Hyunseung Jei; Hongchan Roh (FAS*W@SASO/ICAC, 2018)

Efficient Large-Scale Deep Learning Framework for Heterogeneous Multi-GPU Cluster. - Youngrang Kim; Hyeonseong Choi; Jaehwan Lee 001; Jik-Soo Kim; Hyunseung Jei; Hongchan Roh (FAS*W@SASO/ICAC, 2019)

Comprehensive techniques of multi-GPU memory optimization for deep learning acceleration. - Youngrang Kim; Jaehwan Lee 001; Jik-Soo Kim; Hyunseung Jei; Hongchan Roh (Clust. Comput., 2020)

Towards an optimized distributed deep learning framework for a heterogeneous multi-GPU cluster. - Youngrang Kim; Hyeonseong Choi; Jaehwan Lee 001; Jik-Soo Kim; Hyunseung Jei; Hongchan Roh (Clust. Comput., 2020)

ALADDIN: Asymmetric Centralized Training for Distributed Deep Learning. - Yun-Yong Ko; Kibong Choi; Hyunseung Jei; Dongwon Lee 001; Sang-Wook Kim (CIKM, 2021)