Hanul Sung

Orcid: 0000-0002-1103-8755

According to our database1, Hanul Sung authored at least 16 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A2L: User-Transparent Workload-Adaptive Asynchronous I/O Layer (industry track).
Proceedings of the 25th International Middleware Conference Industrial Track, 2024

2023
Accelerating I/O performance of ZFS-based Lustre file system in HPC environment.
J. Supercomput., May, 2023

Efficient I/O Merging Scheme for Distributed File Systems.
Symmetry, February, 2023

Design and Implementation of Burst Buffer Over-Subscription Scheme for HPC Storage Systems.
IEEE Access, 2023

Towards Enhanced I/O Performance of NVM File Systems.
Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023

2022
Understanding Bitcoin Price Prediction Trends under Various Hyperparameter Configurations.
Comput., 2022

Concurrent and Robust End-to-End Data Integrity Verification Scheme for Flash-Based Storage Devices.
IEEE Access, 2022

2021
OMBM-ML: efficient memory bandwidth management for ensuring QoS and improving server utilization.
Clust. Comput., 2021

MulConn: User-Transparent I/O Subsystem for High-Performance Parallel File Systems.
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

An In-Depth I/O Pattern Analysis in HPC Systems.
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

2020
BBOS: Efficient HPC Storage Management via Burst Buffer Over-Subscription.
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

2019
OMBM: optimized memory bandwidth management for ensuring QoS and high server utilization.
Clust. Comput., 2019

Understanding Parallel I/O Performance Trends Under Various HPC Configurations.
Proceedings of the ACM Workshop on Systems and Network Telemetry and Analytics, 2019

2018
OLM: online LLC management for container-based cloud service.
J. Supercomput., 2018

OMBM-ML: An Efficient Memory Bandwidth Management for Ensuring QoS and Improving Server Utilization.
Proceedings of the 2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems (FAS*W), 2018

2016
Workload-aware resource management for software-defined compute.
Clust. Comput., 2016


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