Pyeongsu Park

According to our database, Pyeongsu Park authored at least 7 papers between 2018 and 2022.

Collaborative distances:

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

2022

DLS: A Fast and Flexible Neural Network Training System With Fine-grained Heterogeneous Device Orchestration.

Pyeongsu Park, Jaewoon Lee, Heetaek Jeong, Jangwoo Kim

IEEE Trans. Parallel Distributed Syst., 2022

2020

TrainBox: An Extreme-Scale Neural Network Training Server Architecture by Systematically Balancing Operations.

Pyeongsu Park, Heetaek Jeong, Jangwoo Kim

Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

2019

FIDR: A Scalable Storage System for Fine-Grain Inline Data Reduction with Efficient Memory Handling.

Mohammadamin Ajdari, Wonsik Lee, Pyeongsu Park, Joonsung Kim, Jangwoo Kim

Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019

CIDR: A Cost-Effective In-Line Data Reduction System for Terabit-Per-Second Scale SSD Arrays.

Mohammadamin Ajdari, Pyeongsu Park, Joonsung Kim, Dongup Kwon, Jangwoo Kim

Proceedings of the 25th IEEE International Symposium on High Performance Computer Architecture, 2019

2018

SSD Performance Modeling Using Bottleneck Analysis.

Jihun Kim, Joonsung Kim, Pyeongsu Park, Jong Kim, Jangwoo Kim

IEEE Comput. Archit. Lett., 2018

A Scalable HW-Based Inline Deduplication for SSD Arrays.

Mohammadamin Ajdari, Pyeongsu Park, Dongup Kwon, Joonsung Kim, Jangwoo Kim

IEEE Comput. Archit. Lett., 2018

SSDcheck: Timely and Accurate Prediction of Irregular Behaviors in Black-Box SSDs.

Joonsung Kim, Pyeongsu Park, Jaehyung Ahn, Jihun Kim, Jong Kim, Jangwoo Kim

Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018