Power-Aware Scheduling for Multi-Center HPC Electricity Cost Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Hossain, Abrar, Abdurahman, Abubeker, Islam, Mohammad A., Ahmed, Kishwar |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Scalable HPC Job Scheduling and Resource Management in SST
by: Abdurahman, Abubeker, et al.
Published: (2025)
by: Abdurahman, Abubeker, et al.
Published: (2025)
MRSch: Multi-Resource Scheduling for HPC
by: Li, Boyang, et al.
Published: (2024)
by: Li, Boyang, et al.
Published: (2024)
SPARS: A Reinforcement Learning-Enabled Simulator for Power Management in HPC Job Scheduling
by: Amrizal, Muhammad Alfian, et al.
Published: (2025)
by: Amrizal, Muhammad Alfian, 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)
Towards Energy Efficient Co-Scheduling in HPC
by: Zheng, Zhong, et al.
Published: (2026)
by: Zheng, Zhong, et al.
Published: (2026)
A HPC Co-Scheduler with Reinforcement Learning
by: Souza, Abel, et al.
Published: (2024)
by: Souza, Abel, et al.
Published: (2024)
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)
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)
AI-focused HPC Data Centers Can Provide More Power Grid Flexibility and at Lower Cost
by: Zhou, Yihong, et al.
Published: (2024)
by: Zhou, Yihong, et al.
Published: (2024)
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)
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)
Minimizing CGYRO HPC Communication Costs in Ensembles with XGYRO by Sharing the Collisional Constant Tensor Structure
by: Sfiligoi, Igor, et al.
Published: (2025)
by: Sfiligoi, Igor, et al.
Published: (2025)
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)
Bandwidth-Aware and Cost-Efficient Pipeline Parallel Scheduling in Geo-Distributed LLM Training
by: Zhang, Han, et al.
Published: (2026)
by: Zhang, Han, et al.
Published: (2026)
Optimizing Task Scheduling in Fog Computing with Deadline Awareness
by: Sirjani, Mohammad Sadegh, et al.
Published: (2025)
by: Sirjani, Mohammad Sadegh, et al.
Published: (2025)
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)
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)
Evaluating HPC-Style CPU Performance and Cost in Virtualized Cloud Infrastructures
by: Tharwani, Jay, et al.
Published: (2025)
by: Tharwani, Jay, et al.
Published: (2025)
A Deep Reinforcement Learning Approach for Cost Optimized Workflow Scheduling in Cloud Computing Environments
by: Jayanetti, Amanda, et al.
Published: (2024)
by: Jayanetti, Amanda, et al.
Published: (2024)
An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems
by: Shilpika, Shilpika, et al.
Published: (2025)
by: Shilpika, Shilpika, et al.
Published: (2025)
Resource Optimization with MPI Process Malleability for Dynamic Workloads in HPC Clusters
by: Iserte, Sergio, et al.
Published: (2025)
by: Iserte, Sergio, et al.
Published: (2025)
THEAS: Efficient Power Management in Multi-Core CPUs via Cache-Aware Resource Scheduling
by: Muhammad, Said, et al.
Published: (2025)
by: Muhammad, Said, 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)
Electricity Cost Minimization for Multi-Workflow Allocation in Geo-Distributed Data Centers
by: Wang, Shuang, et al.
Published: (2025)
by: Wang, Shuang, et al.
Published: (2025)
Eva: Cost-Efficient Cloud-Based Cluster Scheduling
by: Chang, Tzu-Tao, et al.
Published: (2025)
by: Chang, Tzu-Tao, et al.
Published: (2025)
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)
In Serverless, OS Scheduler Choice Costs Money: A Hybrid Scheduling Approach for Cheaper FaaS
by: Zhao, Yuxuan, et al.
Published: (2024)
by: Zhao, Yuxuan, et al.
Published: (2024)
Introducing JIRIAF: A Virtual Kubelet Integration for Optimizing HPC Resource Provisioning
by: Gyurjyan, Vardan, et al.
Published: (2025)
by: Gyurjyan, Vardan, et al.
Published: (2025)
FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud
by: Sinha, Aditya, et al.
Published: (2025)
by: Sinha, Aditya, et al.
Published: (2025)
Eventually-Consistent Federated Scheduling for Data Center Workloads
by: Thiyyakat, Meghana, et al.
Published: (2023)
by: Thiyyakat, Meghana, et al.
Published: (2023)
Analysis of the carbon footprint of HPC
by: Benhari, Abdessalam, et al.
Published: (2025)
by: Benhari, Abdessalam, et al.
Published: (2025)
HPC with Enhanced User Separation
by: Prout, Andrew, et al.
Published: (2024)
by: Prout, Andrew, et al.
Published: (2024)
An Online Fragmentation-Aware Scheduler for Managing GPU-Sharing Workloads on Multi-Instance GPUs
by: Ting, Hsu-Tzu, et al.
Published: (2025)
by: Ting, Hsu-Tzu, et al.
Published: (2025)
Sarus Suite: Cloud-native Containers for HPC
by: Madonna, Alberto, et al.
Published: (2026)
by: Madonna, Alberto, et al.
Published: (2026)
Inductive Loop Analysis for Practical HPC Application Optimization
by: Schaad, Philipp, et al.
Published: (2025)
by: Schaad, Philipp, 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)
Modeling the Carbon Footprint of HPC: The Top 500 and EasyC
by: Rao, Varsha, et al.
Published: (2025)
by: Rao, Varsha, et al.
Published: (2025)
Learning to Schedule: A Supervised Learning Framework for Network-Aware Scheduling of Data-Intensive Workloads
by: Timilsina, Sankalpa, et al.
Published: (2025)
by: Timilsina, Sankalpa, et al.
Published: (2025)
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)
LLM-Driven Intent-Based Privacy-Aware Orchestration Across the Cloud-Edge Continuum
by: Su, Zijie, et al.
Published: (2026)
by: Su, Zijie, et al.
Published: (2026)
Similar Items
-
Scalable HPC Job Scheduling and Resource Management in SST
by: Abdurahman, Abubeker, et al.
Published: (2025) -
MRSch: Multi-Resource Scheduling for HPC
by: Li, Boyang, et al.
Published: (2024) -
SPARS: A Reinforcement Learning-Enabled Simulator for Power Management in HPC Job Scheduling
by: Amrizal, Muhammad Alfian, et al.
Published: (2025) -
An Elastic Job Scheduler for HPC Applications on the Cloud
by: Bhosale, Aditya, et al.
Published: (2025) -
Towards Energy Efficient Co-Scheduling in HPC
by: Zheng, Zhong, et al.
Published: (2026)