GRASP: A Grid Resource Allocation System based on OGSA. - Oh-Kyoung Kwon; Jaegyoon Hahm; Sangwan Kim; Jongsuk Ruth Lee (HPDC, 2004)

KMI-R1: A Grid middleware package for K*Grid. - Jaegyoon Hahm; Oh-Kyoung Kwon; Hun Joo Myung; Hyoungwoo Park; Jongsuk Ruth Lee (Comput. Phys. Commun., 2007)

Performance of heterogeneous computing with graphics processing unit and many integrated core for hartree potential calculations on a numerical grid. - Sunghwan Choi; Oh-Kyoung Kwon; Jaewook Kim; Woo Youn Kim (J. Comput. Chem., 2016)

Performance Evaluation of Scientific Applications on Intel Xeon Phi Knights Landing Clusters. - Ji Hoon Kang 002; Oh-Kyoung Kwon; Hoon Ryu; Jinwoo Jeong; Kyunghun Lim (HPCS, 2018)

I/O Performance Evaluation of Large-Scale Deep Learning on an HPC System. - Minho Bae; Minjoong Jeong; Sangho Yeo; Sangyoon Oh 001; Oh-Kyoung Kwon (HPCS, 2019)

Efficient Task-Mapping of Parallel Applications Using a Space-Filling Curve. - Oh-Kyoung Kwon; Ji Hoon Kang 002; Seungchul Lee; Wonjung Kim; Junehwa Song (PACT, 2022)

Addressing Client Heterogeneity in Synchronous Federated Learning: The CHAFL Approach. - Miri Yu; Oh-Kyoung Kwon; Sangyoon Oh 001 (ICPADS, 2023)

Crossover-SGD: A gossip-based communication in distributed deep learning for alleviating large mini-batch problem and enhancing scalability. - Sangho Yeo; Minho Bae; Minjoong Jeong; Oh-Kyoung Kwon; Sangyoon Oh 001 (Concurr. Comput. Pract. Exp., 2023)

PaScaL_TDMA 2.0: A multi-GPU-based library for solving massive tridiagonal systems. - Mingyu Yang; Ji Hoon Kang 002; Ki-Ha Kim; Oh-Kyoung Kwon; Jung-Il Choi (Comput. Phys. Commun., 2023)

GPUTucker: Large-Scale GPU-Based Tucker Decomposition Using Tensor Partitioning. - Jihye Lee; Donghyoung Han; Oh-Kyoung Kwon; Kang-Wook Chon; Min-Soo Kim 002 (Expert Syst. Appl., 2024)

When HPC Scheduling Meets Active Learning: Maximizing The Performance with Minimal Data. - Jiheon Choi; Jaehyun Lee; Minsol Choo; Taeyoung Yoon; Oh-Kyoung Kwon; Sangyoon Oh 001 (HPC Asia, 2025)