Jay H. Park

According to our database, Jay H. Park authored at least 4 papers between 2018 and 2020.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2020

On Providing OS Support to Allow Transparent Use of Traditional Programming Models for Persistent Memory.

J. Hyun Kim, Young Je Moon, Hyunsub Song, Jay H. Park, Sam H. Noh

ACM J. Emerg. Technol. Comput. Syst., 2020

HetPipe: Enabling Large DNN Training on (Whimpy) Heterogeneous GPU Clusters through Integration of Pipelined Model Parallelism and Data Parallelism.

Jay H. Park, Gyeongchan Yun, Chang M. Yi, Nguyen T. Nguyen, Seungmin Lee, Jaesik Choi, Sam H. Noh, Young-ri Choi

Proceedings of the 2020 USENIX Annual Technical Conference, 2020

2019

Accelerated Training for CNN Distributed Deep Learning through Automatic Resource-Aware Layer Placement.

Jay H. Park, Sunghwan Kim, Jinwon Lee, Myeongjae Jeon, Sam H. Noh

CoRR, 2019

2018

µSnap: Embracing Traditional Programming Models for Persistent Memory through OS Support.

J. Hyun Kim, Young Je Moon, Hyunsub Song, Jay H. Park, Sam H. Noh

Proceedings of the IEEE 7th Non-Volatile Memory Systems and Applications Symposium, 2018