Jurn-Gyu Park

According to our database, Jurn-Gyu Park authored at least 17 papers between 2014 and 2024.

Collaborative distances:

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

2024

Uniformly Distributed Data Effects in Offline RL: A Case Study in Gridworld Setting.

Kuanysh Tokayev, Jurn-Gyu Park

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2024

2023

CNN Workloads Characterization and Integrated CPU-GPU DVFS Governors on Embedded Systems.

Meruyert Karzhaubayeva, Aidar Amangeldi, Jurn-Gyu Park

IEEE Embed. Syst. Lett., December, 2023

Interpretable ML enhanced CNN Performance Analysis of cuBLAS, cuDNN and TensorRT.

Zhumakhan Nazir, Vladislav Yarovenko, Jurn-Gyu Park

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

Effects of Brightness and Class-Unbalanced Dataset on CNN Model Selection and Image Classification Considering Autonomous Driving.

Zhumakhan Nazir, Vladislav Yarovenko, Jurn-Gyu Park

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Feed-forward Design vs. Mimic Learning for Interpretable Deep Models: A Comparative Study.

Jurn-Gyu Park, Damir Seit, Kuanysh Tokayev

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2023

Offline RL oriented Functions Design for Dynamic Power Management on CNN Workloads.

Jurn-Gyu Park

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2023

2022

A CNN Inference micro-benchmark for Performance Analysis and Optimization on GPUs.

Jurn-Gyu Park, Zhumakhan Nazir, Beknur Kalmakhanbet, Saidgaffor Sabyrov

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

2021

An Interpretable Machine Learning Model Enhanced Integrated CPU-GPU DVFS Governor.

Jurn-Gyu Park, Nikil D. Dutt, Sung-Soo Lim

ACM Trans. Embed. Comput. Syst., 2021

A Case Study: Characterization of Performance Inconsistency for Reinforcement Learning on Flappy Bird Game.

Aidar Shakerimov, Dmitriy Li, Jurn-Gyu Park

Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

2018

Synergistic CPU-GPU Frequency Capping for Energy-Efficient Mobile Games.

Jurn-Gyu Park, Chen-Ying Hsieh, Nikil D. Dutt, Sung-Soo Lim

ACM Trans. Embed. Comput. Syst., 2018

MEMCOP: memory-aware co-operative power management governor for mobile games.

Chen-Ying Hsieh, Jurn-Gyu Park, Nikil D. Dutt, Sung-Soo Lim

Des. Autom. Embed. Syst., 2018

2017

Cooperative CPU-GPU Dynamic Power Management Methodologies for Energy-efficient Mobile Gaming.

Jurn-Gyu Park

PhD thesis, 2017

ML-Gov: a machine learning enhanced integrated CPU-GPU DVFS governor for mobile gaming.

Jurn-Gyu Park, Nikil D. Dutt, Sung-Soo Lim

Proceedings of the 15th IEEE/ACM Symposium on Embedded Systems for Real-Time Multimedia, 2017

2016

Co-Cap: energy-efficient cooperative CPU-GPU frequency capping for mobile games.

Jurn-Gyu Park, Chen-Ying Hsieh, Nikil D. Dutt, Sung-Soo Lim

Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

HiCAP: Hierarchical FSM-based Dynamic Integrated CPU-GPU Frequency Capping Governor for Energy-Efficient Mobile Gaming.

Jurn-Gyu Park, Nikil D. Dutt, Hoyeonjiki Kim, Sung-Soo Lim

Proceedings of the 2016 International Symposium on Low Power Electronics and Design, 2016

2015

Memory-aware cooperative CPU-GPU DVFS governor for mobile games.

Chen-Ying Hsieh, Jurn-Gyu Park, Nikil D. Dutt, Sung-Soo Lim

Proceedings of the 13th IEEE Symposium on Embedded Systems For Real-time Multimedia, 2015

2014

Quality-aware mobile graphics workload characterization for energy-efficient DVFS design.

Jurn-Gyu Park, Chen-Ying Hsieh, Nikil D. Dutt, Sung-Soo Lim

Proceedings of the 12th IEEE Symposium on Embedded Systems for Real-time Multimedia, 2014