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2020 – today
- 2020
[j1]J. Hyun Kim, Young Je Moon, Hyunsub Song, Jay H. Park, Sam H. Noh:
On Providing OS Support to Allow Transparent Use of Traditional Programming Models for Persistent Memory. ACM J. Emerg. Technol. Comput. Syst. 16(3): 33:1-33:24 (2020)- [c2]Jay H. Park, Gyeongchan Yun, Chang M. Yi, Nguyen T. Nguyen, Seungmin Lee, Jaesik Choi, Sam H. Noh, Young-ri Choi:
HetPipe: Enabling Large DNN Training on (Whimpy) Heterogeneous GPU Clusters through Integration of Pipelined Model Parallelism and Data Parallelism. USENIX ATC 2020: 307-321 - [i2]Jay H. Park, Gyeongchan Yun, Chang M. Yi, Nguyen T. Nguyen, Seungmin Lee, Jaesik Choi, Sam H. Noh, Young-ri Choi:
HetPipe: Enabling Large DNN Training on (Whimpy) Heterogeneous GPU Clusters through Integration of Pipelined Model Parallelism and Data Parallelism. CoRR abs/2005.14038 (2020)
2010 – 2019
- 2019
- [i1]Jay H. Park, Sunghwan Kim, Jinwon Lee, Myeongjae Jeon, Sam H. Noh:
Accelerated Training for CNN Distributed Deep Learning through Automatic Resource-Aware Layer Placement. CoRR abs/1901.05803 (2019) - 2018
- [c1]J. Hyun Kim, Young Je Moon, Hyunsub Song, Jay H. Park, Sam H. Noh:
µSnap: Embracing Traditional Programming Models for Persistent Memory through OS Support. NVMSA 2018: 1-6
Coauthor Index
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