Cover Image

Exploring Uncore Frequency Scaling for Heterogeneous Computing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zheng, Zhong, Sultanov, Seyfal, Papka, Michael E., Lan, Zhiling
Format:	Preprint
Published:	2025
Subjects:	Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

More for Less: Integrating Capability-Predominant and Capacity-Predominant Computing
by: Zheng, Zhong, et al.
Published: (2025)

Towards Energy Efficient Co-Scheduling in HPC
by: Zheng, Zhong, et al.
Published: (2026)

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

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

A Real-Time Digital Twin for Adaptive Scheduling
by: Zhang, Yihe, et al.
Published: (2025)

Interpretable Modeling of Deep Reinforcement Learning Driven Scheduling
by: Li, Boyang, et al.
Published: (2024)

MRSch: Multi-Resource Scheduling for HPC
by: Li, Boyang, et al.
Published: (2024)

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems
by: Shilpika, Shilpika, et al.
Published: (2025)

Understanding Large-Scale HPC System Behavior Through Cluster-Based Visual Analytics
by: Austin, Allison, et al.
Published: (2026)

Union: An Automatic Workload Manager for Accelerating Network Simulation
by: Wang, Xin, et al.
Published: (2024)

MalleTrain: Deep Neural Network Training on Unfillable Supercomputer Nodes
by: Ma, Xiaolong, et al.
Published: (2024)

MPI-Q: A Message Communication Library for Large-Scale Classical-Quantum Heterogeneous Hybrid Distributed Computing
by: Wang, Feng, et al.
Published: (2026)

Poplar: Efficient Scaling of Distributed DNN Training on Heterogeneous GPU Clusters
by: Zhang, WenZheng, et al.
Published: (2024)

Toward Distributed 3D Gaussian Splatting for High-Resolution Isosurface Visualization
by: Han, Mengjiao, et al.
Published: (2025)

Distributed 3D Gaussian Splatting for High-Resolution Isosurface Visualization
by: Han, Mengjiao, et al.
Published: (2025)

Experiences with Model Context Protocol Servers for Science and High Performance Computing
by: Pan, Haochen, et al.
Published: (2025)

Extracting Practical, Actionable Energy Insights from Supercomputer Telemetry and Logs
by: Cornelius, Melanie, et al.
Published: (2025)

Exploring System-Heterogeneous Federated Learning with Dynamic Model Selection
by: Yao, Dixi
Published: (2024)

Toward Heterogeneous, Distributed, and Energy-Efficient Computing with SYCL
by: Cosenza, Biagio, et al.
Published: (2025)

Marionette: Data Structure Description and Management for Heterogeneous Computing
by: Fernandes, Nuno dos Santos, et al.
Published: (2025)

Metadata-Guided Adaptable Frequency Scaling across Heterogeneous Applications and Devices
by: Yan, Jinqi, et al.
Published: (2025)

RIMMS: Runtime Integrated Memory Management System for Heterogeneous Computing
by: Gener, Serhan, et al.
Published: (2025)

Bridging Memory Gaps: Scaling Federated Learning for Heterogeneous Clients
by: Wu, Yebo, et al.
Published: (2024)

Resource-efficient Parallel Split Learning in Heterogeneous Edge Computing
by: Zhang, Mingjin, et al.
Published: (2024)

Heta: Distributed Training of Heterogeneous Graph Neural Networks
by: Zhong, Yuchen, et al.
Published: (2024)

Study of Workload Interference with Intelligent Routing on Dragonfly
by: Kang, Yao, et al.
Published: (2024)

Q-adaptive: A Multi-Agent Reinforcement Learning Based Routing on Dragonfly Network
by: Kang, Yao, et al.
Published: (2024)

H2:Towards Efficient Large-Scale LLM Training on Hyper-Heterogeneous Cluster over 1,000 Chips
by: Tang, Ding, et al.
Published: (2025)

Benchmarking Different Application Types across Heterogeneous Cloud Compute Services
by: Duggi, Nivedhitha, et al.
Published: (2025)

A Unified Programming Model for Heterogeneous Computing with CPU and Accelerator Technologies
by: Xiong, Yuqing
Published: (2022)

SMART: A Surrogate Model for Predicting Application Runtime in Dragonfly Systems
by: Wang, Xin, et al.
Published: (2025)

DistTrain: Addressing Model and Data Heterogeneity with Disaggregated Training for Multimodal Large Language Models
by: Zhang, Zili, et al.
Published: (2024)

FZModules: A Heterogeneous Computing Framework for Customizable Scientific Data Compression Pipelines
by: Ruiter, Skyler, et al.
Published: (2025)

HexiScale: Facilitating Large Language Model Training over Heterogeneous Hardware
by: Yan, Ran, et al.
Published: (2024)

Understanding the Landscape of Ampere GPU Memory Errors
by: Zhu, Zhu, et al.
Published: (2025)

Exploring the Viability of Unikernels for ARM-powered Edge Computing
by: Kaiser, Shahidullah, et al.
Published: (2024)

Asymmetric Grid Quorum Systems for Heterogeneous Processes
by: Senn, Michael, et al.
Published: (2025)

HiRL: Hierarchical Reinforcement Learning for Coordinated Resource Management in Heterogeneous Edge Computing
by: Zhu, Jianyong, et al.
Published: (2026)

ColonyOS -- A Meta-Operating System for Distributed Computing Across Heterogeneous Platform
by: Kristiansson, Johan
Published: (2024)