Gemilang Santiyuda

According to our database, Gemilang Santiyuda authored at least 8 papers between 2022 and 2026.

Collaborative distances:

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

2026

Co-Design of a Power State-Aware Scheduler and an Intelligent Power Manager for Energy-Efficient HPC Systems.

Raka Satya Prasasta, Santana Yuda Pradata, Kadek Gemilang Santiyuda, Muhammad Alfian Amrizal, Reza Pulungan, Hiroyuki Takizawa

Proceedings of the Supercomputing Asia and International Conference on High Performance Computing in Asia Pacific Region Workshops, 2026

2025

SPARS: A Reinforcement Learning-Enabled Simulator for Power Management in HPC Job Scheduling.

Muhammad Alfian Amrizal, Raka Satya Prasasta, Santana Yuda Pradata, Kadek Gemilang Santiyuda, Reza Pulungan, Hiroyuki Takizawa

CoRR, December, 2025

Improving the Efficiency of a Deep Reinforcement Learning-Based Power Management System for HPC Clusters Using Curriculum Learning.

Thomas Budiarjo, Santana Yuda Pradata, Kadek Gemilang Santiyuda, Muhammad Alfian Amrizal, Reza Pulungan, Hiroyuki Takizawa

CoRR, February, 2025

MedRoPax: A comprehensive software for solving heterogeneous vehicle routing problem with 3D loading constraints and cardboard box packing for medical supply distribution.

Rudy Prietno, Santana Yuda Pradata, Raka Satya Prasasta, Gemilang Santiyuda, Muhammad Alfian Amrizal, Tri Kuntoro Priyambodo, Vincent F. Yu

Softw. Impacts, 2025

Neural Network Pruning for Lightweight Metal Corrosion Image Segmentation Models.

Vincent F. Yu, Gemilang Santiyuda, Shih-Wei Lin, Udjianna S. Pasaribu, Yuli Sri Afrianti

IEEE Access, 2025

2024

Multi-objective reinforcement learning for bi-objective time-dependent pickup and delivery problem with late penalties.

Gemilang Santiyuda, Retantyo Wardoyo, Reza Pulungan, Vincent F. Yu

Eng. Appl. Artif. Intell., 2024

Solving biobjective traveling thief problems with multiobjective reinforcement learning.

Gemilang Santiyuda, Retantyo Wardoyo, Reza Pulungan

Appl. Soft Comput., 2024

2022

An Advantage Actor-Critic Deep Reinforcement Learning Method for Power Management in HPC Systems.

Fitra Rahmani Khasyah, Kadek Gemilang Santiyuda, Gabriel Kaunang, Faizal Makhrus, Muhammad Alfian Amrizal, Hiroyuki Takizawa

Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2022