Showing results 1 to 4 of 4
| Issue Date | Title | Author(s) | Type | View |
| 2021-08 | Efficient Distributed DNN Training through Resource-Aware Hybrid Parallelism | Noh, Sam H.; Park, Jay H. | Doctoral thesis | 2759 |
| 2020-07-16 | HetPipe: Enabling Large DNN Training on (Whimpy) Heterogeneous GPU Clusters through Integration of Pipelined Model Parallelism and Data Parallelism | Park, Jay H.; Yun, Gyeongchan; Yi, Chang M.; Nguyen, Nguyen T.; Lee, Seungmin; Choi, Jaesik; Noh, Sam H.; Choi, Young-Ri | CONFERENCE | 653 |
| 2020-07 | On Providing OS Support to Allow Transparent Use of Traditional Programming Models for Persistent Memory | Kim, J. Hyun; Moon, Young Je; Song, Hyunsub; Park, Jay H.; Noh, Sam H. | ARTICLE | 806 |
| 2018-08-29 | uSnap: Embracing Traditional Programming Models for Persistent Memory through OS Support | Kim, J. Hyun; Moon, Young Je; Song, Hyunsub; Park, Jay H.; Noh, Sam H. | CONFERENCE | 418 |
Showing results 1 to 4 of 4
