31 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Tohoku UniversityJP14 papers
- Kyoto UniversityJP3 papers
- High Energy Accelerator Research OrganizationJP2 papers
- Institut Bisnis dan Teknologi IndonesiaID2 papers
- Institute for Basic ScienceKR2 papers
- Kyoto University of EducationJP2 papers
- RIKEN Nishina CenterJP2 papers
- The University of OsakaJP2 papers
- Tokyo Institute of TechnologyJP2 papers
- Universitas Gadjah MadaID2 papers
- Universitas Teknologi IndonesiaID2 papers
- Advanced Energy (United States)US1 paper
Showing cs.DCShow all
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cs.DC2025
SPARS: A Reinforcement Learning-Enabled Simulator for Power Management in HPC Job Scheduling
Muhammad Alfian Amrizal, Raka Satya Prasasta, Santana Yuda Pradata +3
High-performance computing (HPC) systems consume enormous amounts of energy, with idle nodes as a major source of energy waste. Powering down idle nodes can mitigate this problem,…
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…