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20242026
most citedImproving the Efficiency of a Deep Reinforcement Learning-Based Power Management System for HPC Clusters Using Curriculum Learning

6 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2026

A Smallest-Need-First Job Scheduling Framework with Adaptive Optimization of Idle Node Counts for Energy-Efficient HPC Systems

Reza Pulungan, Raka Satya Prasasta, Santana Yuda Pradata +3

Power-state management in high-performance computing (HPC) clusters must reduce idle energy without excessive wake-up delays for rigid parallel jobs. This paper presents SNF-ICON,…

cs.DC2025★ 6 cited

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 +3

High energy consumption remains a key challenge in high-performance computing (HPC) systems, which often feature hundreds or thousands of nodes drawing substantial power even in id…

quant-ph2024

Efficient Classical Computation of Single-Qubit Marginal Measurement Probabilities to Simulate Certain Classes of Quantum Algorithms

Santana Yuda Pradata, Muhammad 'Anin Nabail 'Azhiim, Hendry Minfui Lim +4

Classical simulations of quantum circuits are essential for verifying and benchmarking quantum algorithms, particularly for large circuits, where computational demands increase exp…

cs.DC2024

Leveraging Hardware Performance Counters for Predicting Workload Interference in Vector Supercomputers

Shubham, Keichi Takahashi, Hiroyuki Takizawa

In the rapidly evolving domain of high-performance computing (HPC), heterogeneous architectures such as the SX-Aurora TSUBASA (SX-AT) system architecture, which integrate diverse p…

cs.DC2024★ 3 cited

Modernizing an Operational Real-time Tsunami Simulator to Support Diverse Hardware Platforms

Keichi Takahashi, Takashi Abe, Akihiro Musa +4

To issue early warnings and rapidly initiate disaster responses after tsunami damage, various tsunami inundation forecast systems have been deployed worldwide. Japan's Cabinet Offi…