Jinseung Ryu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Jinseung Ryu has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- ChanYeol Park
KISTI
1 shared publication - Hyunjoon Cheon
Department of Computer Science, Yonsei University, Seoul, Republic of Korea
1 shared publication - Jaecheol Ryou
Department of Computer Science and Engineering, Chungnam National University, Daejeon 34134, Republic of Korea
1 shared publication - Kimoon Jeong
Korea Institute of Science and Technology Information
1 shared publication - Sangwan Kim
Center for Development of Supercomputing System, Korea Institute of Science and Technology Information (KISTI), Daejeon 34141, Republic of Korea
1 shared publication - Seungwoo Rho
Center for Development of Supercomputing System, Korea Institute of Science and Technology Information (KISTI), Daejeon 34141, Republic of Korea
1 shared publication
Latest Publications
- Open Access
- 4 February 2026
- Published by MDPI AG in Applied Sciences
- Vol. 16 (3) , 1565
Topology-Optimal Deployment of Operating Systems for a Cluster Supercomputer
Diskless computing nodes in cluster supercomputers require massive deployment procedure of operating systems software for their booting. Most previous studies for massive deployment of large files focus on developing flexible and scalable mechanisms in hidden or changeable network topologies, but the topology-optimal deployment has been rarely investigated in fixed open network topologies. In this article, we investigate the topology-optimal deployment method designed for a specific cluster supercomputer with the fat-tree topology. We examine possible deployment approaches and propose the optimal peer-to-peer deployment method. The proposed deployment method minimizes the number of peer-to-peer transmission steps by fully utilizing resources of the fat-tree topology and avoids contention between peer-to-peer communications. Simulation results show that the proposed method completes deployment at least nine times faster than the baseline method.
- 4 February 2026
- Published by MDPI AG in Applied Sciences
- Vol. 16 (3) , 1565
Open AccessTopology-Optimal Deployment of Operating Systems for a Cluster Supercomputer
Diskless computing nodes in cluster supercomputers require massive deployment procedure of operating systems software for their booting. Most previous studies for massive deployment of large files focus on developing flexible and scalable mechanisms in hidden or changeable network topologies, but the topology-optimal deployment has been rarely investigated in fixed open network topologies. In this article, we investigate the topology-optimal deployment method designed for a specific cluster supercomputer with the fat-tree topology. We examine possible deployment approaches and propose the optimal peer-to-peer deployment method. The proposed deployment method minimizes the number of peer-to-peer transmission steps by fully utilizing resources of the fat-tree topology and avoids contention between peer-to-peer communications. Simulation results show that the proposed method completes deployment at least nine times faster than the baseline method.
- 22 April 2021
- Published by Springer Nature in Cluster Computing
- Vol. 26 (5) , 2629-2641
ARED: automata-based runtime estimation for distributed systems using deep learning
- 22 April 2021
- Published by Springer Nature in Cluster Computing
- Vol. 26 (5) , 2629-2641
ARED: automata-based runtime estimation for distributed systems using deep learning