Kyongseok Park

According to our database, Kyongseok Park authored at least 13 papers between 2013 and 2024.

Collaborative distances:

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

2024

GLNAS: Greedy Layer-wise Network Architecture Search for low cost and fast network generation.

Jiacang Ho, Kyongseok Park, Dae-Ki Kang

Pattern Recognit., 2024

Efficient Training of Large-Scale Neural Networks Using Linear Pipeline Broadcast.

Chanhee Yu, Kyongseok Park

IEEE Access, 2024

2023

Accelerated Synchronous Model Parallelism Using Cooperative Process for Training Compute-Intensive Models.

Chanhee Yu, Kyongseok Park

IEEE Access, 2023

Outlier-Aware Demand Prediction Using Recurrent Neural Network-Based Models and Statistical Approach.

Yuseon Kim, Kyongseok Park

IEEE Access, 2023

2019

FTLADS: Object-Logging Based Fault-Tolerant Big Data Transfer System Using Layout Aware Data Scheduling.

Preethika Kasu, Taeuk Kim, Jung-Ho Um, Kyongseok Park, Scott Atchley, Youngjae Kim

IEEE Access, 2019

DistME: A Fast and Elastic Distributed Matrix Computation Engine using GPUs.

Donghyoung Han, Yoon-Min Nam, Jihye Lee, Kyongseok Park, Hyunwoo Kim, Min-Soo Kim

Proceedings of the 2019 International Conference on Management of Data, 2019

2018

FT-LADS: Fault-Tolerant Object-Logging based Big Data Transfer System using Layout-Aware Data Scheduling.

Preethika Kasu, Taeuk Kim, Youngjae Kim, Jung-Ho Um, Kyongseok Park, Scott Atchley

CoRR, 2018

Accelerating a cross-correlation score function to search modifications using a single GPU.

Hyunwoo Kim, Sunggeun Han, Jung-Ho Um, Kyongseok Park

BMC Bioinform., 2018

SciDFS: An In-Situ Processing System for Scientific Array Data Based on Distributed File System.

Donghyoung Han, Yoon-Min Nam, Min-Soo Kim, Kyongseok Park, Sunggeun Han

Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

2017

A New Efficient Resource Management Framework for Iterative MapReduce Processing in Large-Scale Data Analysis.

Seung-Tae Hong, Kyongseok Park, Chae-Deok Lim, Jae-Woo Chang

IEICE Trans. Inf. Syst., 2017

Study on distributed and parallel non-linear optimization algorithm for ocean color remote sensing data.

Jung-Ho Um, Sunggeun Han, Hyunwoo Kim, Kyongseok Park

Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

Massive OceanColor Data Processing and Analysis System: TuPiX-OC.

Jung-Ho Um, Sunggeun Han, Hyunwoo Kim, Kyongseok Park

Proceedings of the 13th IEEE International Conference on e-Science, 2017

2013

HASV: Hadoop-Based NGS Analyzer for Predicting Genomic Structure Variations.

Gunhwan Ko, Jongcheol Yoon, Kyongseok Park

Proceedings of the Mobile, Ubiquitous, and Intelligent Computing, 2013