Donghyoung Han

According to our database, Donghyoung Han authored at least 8 papers between 2017 and 2024.

Collaborative distances:

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

2024

GPUTucker: Large-Scale GPU-Based Tucker Decomposition Using Tensor Partitioning.

Jihye Lee, Donghyoung Han, Oh-Kyoung Kwon, Kang-Wook Chon, Min-Soo Kim

Expert Syst. Appl., March, 2024

2022

FuseME: Distributed Matrix Computation Engine based on Cuboid-based Fused Operator and Plan Generation.

Donghyoung Han, Jongwuk Lee, Min-Soo Kim

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2020

SPRINTER: A Fast n-ary Join Query Processing Method for Complex OLAP Queries.

Yoon-Min Nam, Donghyoung Han, Min-Soo Kim

Proceedings of the 2020 International Conference on Management of Data, 2020

2019

A parallel query processing system based on graph-based database partitioning.

Yoon-Min Nam, Donghyoung Han, Min-Soo Kim

Inf. Sci., 2019

DistME: A Fast and Elastic Distributed Matrix Computation Engine using GPUs.

Donghyoung Han, Yoon-Min Nam, Jihye Lee, Kyongseok Park, Hyunwoo Kim, Min-Soo Kim

Proceedings of the 2019 International Conference on Management of Data, 2019

2018

A Graph-Based Database Partitioning Method for Parallel OLAP Query Processing.

Yoon-Min Nam, Min-Soo Kim, Donghyoung Han

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

SciDFS: An In-Situ Processing System for Scientific Array Data Based on Distributed File System.

Donghyoung Han, Yoon-Min Nam, Min-Soo Kim, Kyongseok Park, Sunggeun Han

Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

2017

A distributed in-situ analysis method for large-scale scientific data.

Donghyoung Han, Yoon-Min Nam, Min-Soo Kim

Proceedings of the 2017 IEEE International Conference on Big Data and Smart Computing, 2017