SPARS: A Reinforcement Learning-Enabled Simulator for Power Management in HPC Job Scheduling
Fuente:
arXiv
Saved in:
| Main Authors: | Amrizal, Muhammad Alfian, Prasasta, Raka Satya, Pradata, Santana Yuda, Santiyuda, Kadek Gemilang, Pulungan, Reza, Takizawa, Hiroyuki |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Improving the Efficiency of a Deep Reinforcement Learning-Based Power Management System for HPC Clusters Using Curriculum Learning
by: Budiarjo, Thomas, et al.
Published: (2025)
by: Budiarjo, Thomas, et al.
Published: (2025)
An Elastic Job Scheduler for HPC Applications on the Cloud
by: Bhosale, Aditya, et al.
Published: (2025)
by: Bhosale, Aditya, et al.
Published: (2025)
Scalable HPC Job Scheduling and Resource Management in SST
by: Abdurahman, Abubeker, et al.
Published: (2025)
by: Abdurahman, Abubeker, et al.
Published: (2025)
A HPC Co-Scheduler with Reinforcement Learning
by: Souza, Abel, et al.
Published: (2024)
by: Souza, Abel, et al.
Published: (2024)
Evaluating Malleable Job Scheduling in HPC Clusters using Real-World Workloads
by: Zojer, Patrick, et al.
Published: (2026)
by: Zojer, Patrick, et al.
Published: (2026)
Evaluating the Efficacy of LLM-Based Reasoning for Multiobjective HPC Job Scheduling
by: Jadhav, Prachi, et al.
Published: (2025)
by: Jadhav, Prachi, et al.
Published: (2025)
A Reinforcement Learning Based Backfilling Strategy for HPC Batch Jobs
by: Kolker-Hicks, Elliot, et al.
Published: (2024)
by: Kolker-Hicks, Elliot, et al.
Published: (2024)
Power-Aware Scheduling for Multi-Center HPC Electricity Cost Optimization
by: Hossain, Abrar, et al.
Published: (2025)
by: Hossain, Abrar, et al.
Published: (2025)
MRSch: Multi-Resource Scheduling for HPC
by: Li, Boyang, et al.
Published: (2024)
by: Li, Boyang, et al.
Published: (2024)
Operational Strategies for Non-Disruptive Scheduling Transitions in Production HPC Systems
by: MacLachlan, Glen, et al.
Published: (2026)
by: MacLachlan, Glen, et al.
Published: (2026)
Leveraging Hardware Performance Counters for Predicting Workload Interference in Vector Supercomputers
by: Shubham, et al.
Published: (2024)
by: Shubham, et al.
Published: (2024)
Towards Energy Efficient Co-Scheduling in HPC
by: Zheng, Zhong, et al.
Published: (2026)
by: Zheng, Zhong, et al.
Published: (2026)
An Autonomy Loop for Dynamic HPC Job Time Limit Adjustment
by: Jakobsche, Thomas, et al.
Published: (2025)
by: Jakobsche, Thomas, et al.
Published: (2025)
Incisor: Ex Ante Cloud Instance Selection for HPC Jobs
by: Laurenzano, Michael A., et al.
Published: (2026)
by: Laurenzano, Michael A., et al.
Published: (2026)
On the Convergence of Malleability and the HPC PowerStack: Exploiting Dynamism in Over-Provisioned and Power-Constrained HPC Systems
by: Arima, Eishi, et al.
Published: (2024)
by: Arima, Eishi, et al.
Published: (2024)
LLload: Simplifying Real-Time Job Monitoring for HPC Users
by: Byun, Chansup, et al.
Published: (2024)
by: Byun, Chansup, et al.
Published: (2024)
Adaptive Job Scheduling in Quantum Clouds Using Reinforcement Learning
by: Luo, Waylon, et al.
Published: (2025)
by: Luo, Waylon, et al.
Published: (2025)
A Performance Analysis of Task Scheduling for UQ Workflows on HPC Systems
by: Loi, Chung Ming, et al.
Published: (2025)
by: Loi, Chung Ming, et al.
Published: (2025)
Generic and ML Workloads in an HPC Datacenter: Node Energy, Job Failures, and Node-Job Analysis
by: Chu, Xiaoyu, et al.
Published: (2024)
by: Chu, Xiaoyu, et al.
Published: (2024)
HPC-vQPU: A Service-Export Architecture for Virtual QPUs on Batch-Scheduled HPC Systems
by: Liu, Shusen, et al.
Published: (2026)
by: Liu, Shusen, et al.
Published: (2026)
Modernizing an Operational Real-time Tsunami Simulator to Support Diverse Hardware Platforms
by: Takahashi, Keichi, et al.
Published: (2024)
by: Takahashi, Keichi, et al.
Published: (2024)
Kub: Enabling Elastic HPC Workloads on Containerized Environments
by: Medeiros, Daniel, et al.
Published: (2024)
by: Medeiros, Daniel, et al.
Published: (2024)
A Review of Tools and Techniques for Optimization of Workload Mapping and Scheduling in Heterogeneous HPC System
by: Sharma, Aasish Kumar, et al.
Published: (2025)
by: Sharma, Aasish Kumar, et al.
Published: (2025)
HPC Digital Twins for Evaluating Scheduling Policies, Incentive Structures and their Impact on Power and Cooling
by: Maiterth, Matthias, et al.
Published: (2025)
by: Maiterth, Matthias, et al.
Published: (2025)
Scale: Deep Reinforcement Learning for Container Scheduling in Serverless Edge Computing
by: Chen, Chen, et al.
Published: (2026)
by: Chen, Chen, et al.
Published: (2026)
DECICE: AI-Driven Scheduling and Digital Twin Integration for the Cloud-HPC-Edge Compute Continuum
by: Sharma, Aasish Kumar, et al.
Published: (2026)
by: Sharma, Aasish Kumar, et al.
Published: (2026)
Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review
by: Gu, Yan, et al.
Published: (2025)
by: Gu, Yan, et al.
Published: (2025)
Enabling Seamless Transitions from Experimental to Production HPC for Interactive Workflows
by: Etz, Brian D., et al.
Published: (2025)
by: Etz, Brian D., et al.
Published: (2025)
Rubick: Exploiting Job Reconfigurability for Deep Learning Cluster Scheduling
by: Zhang, Xinyi, et al.
Published: (2024)
by: Zhang, Xinyi, et al.
Published: (2024)
Profiling and Modeling of Power Characteristics of Leadership-Scale HPC System Workloads
by: Karimi, Ahmad Maroof, et al.
Published: (2024)
by: Karimi, Ahmad Maroof, et al.
Published: (2024)
Asymptotically Optimal Scheduling of Multiple Parallelizable Job Classes
by: Berg, Benjamin, et al.
Published: (2024)
by: Berg, Benjamin, et al.
Published: (2024)
Parallelizing Drug Discovery: HPC Pipelines for Alzheimer's Molecular Docking and Simulation
by: Alliata, Paul Ruiz, et al.
Published: (2025)
by: Alliata, Paul Ruiz, et al.
Published: (2025)
Fairness-Aware Job Scheduling for Multi-Job Federated Learning
by: Shi, Yuxin, et al.
Published: (2024)
by: Shi, Yuxin, et al.
Published: (2024)
Metronome: Efficient Scheduling for Periodic Traffic Jobs with Network and Priority Awareness
by: Jiang, Hao, et al.
Published: (2025)
by: Jiang, Hao, et al.
Published: (2025)
Data-Locality-Aware Task Assignment and Scheduling for Distributed Job Executions
by: Zhao, Hailiang, et al.
Published: (2024)
by: Zhao, Hailiang, et al.
Published: (2024)
GrapheonRL: A Graph Neural Network and Reinforcement Learning Framework for Constraint and Data-Aware Workflow Mapping and Scheduling in Heterogeneous HPC Systems
by: Sharma, Aasish Kumar, et al.
Published: (2025)
by: Sharma, Aasish Kumar, et al.
Published: (2025)
Assessing the Elephant in the Room in Scheduling for Current Hybrid HPC-QC Clusters
by: Viviani, Paolo, et al.
Published: (2025)
by: Viviani, Paolo, et al.
Published: (2025)
Towards Exascale Computing for Astrophysical Simulation Leveraging the Leonardo EuroHPC System
by: Shukla, Nitin, et al.
Published: (2025)
by: Shukla, Nitin, et al.
Published: (2025)
Quantifying the Carbon Reduction of DAG Workloads: A Job Shop Scheduling Perspective
by: Bostandoost, Roozbeh, et al.
Published: (2025)
by: Bostandoost, Roozbeh, et al.
Published: (2025)
Integrating and Characterizing HPC Task Runtime Systems for hybrid AI-HPC workloads
by: Merzky, Andre, et al.
Published: (2025)
by: Merzky, Andre, et al.
Published: (2025)
Similar Items
-
Improving the Efficiency of a Deep Reinforcement Learning-Based Power Management System for HPC Clusters Using Curriculum Learning
by: Budiarjo, Thomas, et al.
Published: (2025) -
An Elastic Job Scheduler for HPC Applications on the Cloud
by: Bhosale, Aditya, et al.
Published: (2025) -
Scalable HPC Job Scheduling and Resource Management in SST
by: Abdurahman, Abubeker, et al.
Published: (2025) -
A HPC Co-Scheduler with Reinforcement Learning
by: Souza, Abel, et al.
Published: (2024) -
Evaluating Malleable Job Scheduling in HPC Clusters using Real-World Workloads
by: Zojer, Patrick, et al.
Published: (2026)