Copertina

Exploring the Frontiers of Energy Efficiency using Power Management at System Scale

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Karimi, Ahmad Maroof, Maiterth, Matthias, Shin, Woong, Sattar, Naw Safrin, Lu, Hao, Wang, Feiyi
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Distributed, Parallel, and Cluster Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Profiling and Modeling of Power Characteristics of Leadership-Scale HPC System Workloads
di: Karimi, Ahmad Maroof, et al.
Pubblicazione: (2024)

Trace Replay Simulation of MIT SuperCloud for Studying Optimal Sustainability Policies
di: Brewer, Wesley, et al.
Pubblicazione: (2025)

A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at Exascale
di: Brewer, Wesley, et al.
Pubblicazione: (2024)

Exploring the Efficiency of Renewable Energy-based Modular Data Centers at Scale
di: Sun, Jinghan, et al.
Pubblicazione: (2024)

Scaling on Frontier: Uncertainty Quantification Workflow Applications using ExaWorks to Enable Full System Utilization
di: Titov, Mikhail, et al.
Pubblicazione: (2024)

Wattchmen: Watching the Wattchers -- High Fidelity, Flexible GPU Energy Modeling
di: Tran, Brandon, et al.
Pubblicazione: (2026)

Coordinated Power Management on Heterogeneous Systems
di: Zheng, Zhong, et al.
Pubblicazione: (2025)

The (R)evolution of Scientific Workflows in the Agentic AI Era: Towards Autonomous Science
di: Shin, Woong, et al.
Pubblicazione: (2025)

Resilient Auto-Scaling of Microservice Architectures with Efficient Resource Management
di: Ahmad, Hussain, et al.
Pubblicazione: (2025)

EcoShift: Performance-Aware Power Management for Power-Constrained Heterogeneous Systems
di: Zheng, Zhong, et al.
Pubblicazione: (2026)

FLYING SERVING: On-the-Fly Parallelism Switching for Large Language Model Serving
di: Gao, Shouwei, et al.
Pubblicazione: (2026)

Driving Computational Efficiency in Large-Scale Platforms using HPC Technologies
di: Mendez, Alexander Martinez, et al.
Pubblicazione: (2026)

Understanding Power and Energy Utilization in Large Scale Production Physics Simulation Codes
di: Bertsch, Adam, et al.
Pubblicazione: (2022)

Survey on Token-Based Distributed MutualExclusion Algorithms
di: Tohidi, Elahe, et al.
Pubblicazione: (2025)

FLAME: A Serving System Optimized for Large-Scale Generative Recommendation with Efficiency
di: Guo, Xianwen, et al.
Pubblicazione: (2025)

Loki: A System for Serving ML Inference Pipelines with Hardware and Accuracy Scaling
di: Ahmad, Sohaib, et al.
Pubblicazione: (2024)

Piper: Efficient Large-Scale MoE Training via Resource Modeling and Pipelined Hybrid Parallelism
di: Dash, Sajal, et al.
Pubblicazione: (2026)

Datacenter Energy Optimized Power Profiles
di: Narayanaswamy, Sreedhar, et al.
Pubblicazione: (2025)

H-EYE: Holistic Resource Modeling and Management for Diversely Scaled Edge-Cloud Systems
di: Dagli, Ismet, et al.
Pubblicazione: (2024)

AI-coupled HPC Workflow Applications, Middleware and Performance
di: Brewer, Wes, et al.
Pubblicazione: (2024)

HPC Digital Twins for Evaluating Scheduling Policies, Incentive Structures and their Impact on Power and Cooling
di: Maiterth, Matthias, et al.
Pubblicazione: (2025)

Empirical Evaluation and Scalability Analysis of Proof of Team Sprint (PoTS): Reward Fairness, Energy Efficiency, and System Stability
di: Yonezawa, Naoki
Pubblicazione: (2025)

Computational Performance and Energy Efficiency of ARM based HPC servers
di: Schirmer, Oskar
Pubblicazione: (2024)

GreenFaaS: Maximizing Energy Efficiency of HPC Workloads with FaaS
di: Kamatar, Alok, et al.
Pubblicazione: (2024)

Exploring Uncore Frequency Scaling for Heterogeneous Computing
di: Zheng, Zhong, et al.
Pubblicazione: (2025)

Enhancing Energy Efficiency in Scientific Workflows through CFD based PIVAEs
di: Zahir, Ali, et al.
Pubblicazione: (2026)

Optimizing Resource Allocation and Energy Efficiency in Federated Fog Computing for IoT
di: Shah, Syed Sarmad, et al.
Pubblicazione: (2025)

Towards Sustainable Computing: Exploring Energy Consumption Efficiency of Alternative Configurations and Workloads in an Open Source Messaging System
di: Voreakou, Maria, et al.
Pubblicazione: (2025)

Energy Efficiency Support for Software Defined Networks: a Serverless Computing Approach
di: Banaie, Fatemeh, et al.
Pubblicazione: (2024)

KUBEDIRECT: Unleashing the Full Power of the Cluster Manager for Serverless Computing
di: Qi, Sheng, et al.
Pubblicazione: (2026)

Improving the Efficiency of a Deep Reinforcement Learning-Based Power Management System for HPC Clusters Using Curriculum Learning
di: Budiarjo, Thomas, et al.
Pubblicazione: (2025)

EaCO: Resource Sharing Dynamics and Its Impact on Energy Efficiency for DNN Training
di: Haghshenas, Kawsar, et al.
Pubblicazione: (2024)

Integrating Power-to-Heat Services in Geographically Distributed Multi-Energy Systems: A Case Study from the ERIGrid 2.0 Project
di: Silano, Giuseppe, et al.
Pubblicazione: (2024)

Learning Process Energy Profiles from Node-Level Power Data
di: Bader, Jonathan, et al.
Pubblicazione: (2025)

Managing Multi Instance GPUs for High Throughput and Energy Savings
di: Saraha, Abhijeet, et al.
Pubblicazione: (2025)

Leveraging Core and Uncore Frequency Scaling for Power-Efficient Serverless Workflows
di: Tzenetopoulos, Achilleas, et al.
Pubblicazione: (2024)

A Dynamic Approach to Load Balancing in Cloud Infrastructure: Enhancing Energy Efficiency and Resource Utilization
di: Sakib, Shadman, et al.
Pubblicazione: (2025)

Comparative Study of Large Language Model Architectures on Frontier
di: Yin, Junqi, et al.
Pubblicazione: (2024)

Magneton: Optimizing Energy Efficiency of ML Systems via Differential Energy Debugging
di: Pan, Yi, et al.
Pubblicazione: (2025)

Intelligent Sampling of Extreme-Scale Turbulence Datasets for Accurate and Efficient Spatiotemporal Model Training
di: Brewer, Wesley, et al.
Pubblicazione: (2025)