Job Scheduling Strategies for Parallel Processing

Nyhet

28th International Workshop, JSSPP 2025, Milan, Italy, June 3–4, 2025, Revised Selected Papers

Häftad, Engelska, 2026

AvDalibor Klusáček,Julita Corbalán,Gonzalo P. Rodrigo,Dalibor Klusáček,Dalibor Klusá¿ek

1 339 kr

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This book constitutes the refereed proceedings of the 28th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2025, held in Milan, Italy, during June 3-4, 2025.The 17 full papers and 1 keynote paper presented in this book were carefully reviewed and selected from 25 submissions. These papers covered interesting topics within the resource management and scheduling domains.

Produktinformation

Utgivningsdatum2026-01-03
Mått155 x 235 x 20 mm
Vikt557 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor350
FörlagSpringer Nature Switzerland AG
ISBN9783032105066

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.- How to make the ultimate goal of energy-efficient data centers a reality..- Power-Aware Scheduling for Multi-Center HPC Electricity Cost Optimization..- Job Grouping Based Intelligent Resource Prediction Framework..- Kubernetes Scheduling with Checkpoint/Restore: Challenges and Open Problems..- Adaptive Carbon-Aware scheduling policies for HPC systems..- Resource elasticity for scientific platforms on HPC infrastructure..- More for Less: Integrating Capability-Predominant and Capacity-Predominant Computing..- Workflow Batch Job Scheduling with Considering Task Dependencies..- Quality-Aware Energy-Efficient Scheduling of Moldable-Parallel Streaming Computations on Heterogeneous Multicore CPUs with DVFS..- Optimizing Energy Efficiency in Heterogeneous Computing via Multi-Objective Scheduling with Reinforcement Learning..- Static powercap vs. EAR hard-powercap: Performance evaluation..- Deep RC: A Scalable Data Engineering and Deep Learning Pipeline..- Fedsort: An Optimized Federated Scheduling Strategy for Cloud Workloads with Inter-task Dependencies..- Evaluating the Impact of Algorithmic Components on Task Graph Scheduling..- Communication-balanced Job Allocation using SLURM..- Performance Models to support HPC Co-Scheduling..- ELiSE: A tool to support algorithmic design for HPC co-scheduling..- Deadline Miss Minimization Scheduling for License-Constrained CAE Jobs in Hybrid Cloud Infrastructure.