| Distme: A fast and elastic distributed matrix computation engine using gpus D Han, YM Nam, J Lee, K Park, H Kim, MS Kim Proceedings of the 2019 International Conference on Management of Data, 759-774, 2019 | 18 | 2019 |
| A parallel query processing system based on graph-based database partitioning YM Nam, D Han, MS Kim Information Sciences 480, 237-260, 2019 | 10 | 2019 |
| A graph-based database partitioning method for parallel OLAP query processing YM Nam, MS Kim, D Han 2018 IEEE 34th International Conference on Data Engineering (ICDE), 1025-1036, 2018 | 8 | 2018 |
| A distributed in-situ analysis method for large-scale scientific data D Han, YM Nam, MS Kim 2017 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2017 | 5 | 2017 |
| FuseME: Distributed matrix computation engine based on cuboid-based fused operator and plan generation D Han, J Lee, MS Kim Proceedings of the 2022 International Conference on Management of Data, 1891 …, 2022 | 4 | 2022 |
| GPUTucker: Large-Scale GPU-Based Tucker Decomposition Using Tensor Partitioning J Lee, D Han, OK Kwon, KW Chon, MS Kim Expert Systems with Applications 237, 121445, 2024 | | 2024 |
| Relational database storage system and method for supporting fast query processing with low data redundancy, and method for query processing based on the relational database … YM Nam, DH Han, MS Kim US Patent 11,068,504, 2021 | | 2021 |
| Method and apparatus for processing large-scale distributed matrix product MS Kim, DH Han, SJ Lee US Patent App. 17/093,718, 2021 | | 2021 |
| SciDFS: An In-Situ Processing System for Scientific Array Data Based on Distributed File System D Han, YM Nam, MS Kim, K Park, S Han 2018 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2018 | | 2018 |
