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Job Scheduling Strategies for Parallel Processing de Dalibor Klusá¿ek

Job Scheduling Strategies for Parallel Processing: Lecture Notes in Computer Science, cartea 13592

Editat de Dalibor Klusá¿ek, Corbalán Julita, Gonzalo P. Rodrigo
en Limba Engleză Paperback – 12 ian 2023
This book constitutes the thoroughly refereed post-conference proceedings of the 25th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2022, held as a virtual event in June 2022 (due to the Covid-19 pandemic). The 12 revised full papers presented were carefully reviewed and selected from 19 submissions. In addition to this,1 keynote paper was included in the workshop. The volume contains two sections: Technical papers and Open Scheduling Problems.
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Specificații

ISBN-13: 9783031226977
ISBN-10: 3031226976
Pagini: 272
Ilustrații: XVI, 255 p. 110 illus., 96 illus. in color.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.42 kg
Ediția:1st edition 2023
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

Insights and Requirements for Future Workflow Scheduling.- Technical papers.- On the Feasibility of Simulation-driven Portfolio Scheduling for Cyberinfrastructure Runtime Systems.- AI-Job Scheduling on Systems with Renewable Power Sources.- Toward Building a Digital Twin of Job Scheduling and Power Management on an HPC System.- Encoding for Reinforcement Learning Driven Scheduling.- RADICAL-Pilot and PMIx/PRRTE: Executing heterogeneous workloads at large scale on partitioned HPC resources.- RARE: Renewable Energy Aware Resource Management in Datacenters.- Dynamic Management of CPU Resources Towards Energy Efficient and Profitable Datacentre Operation.- Optimization of Execution Parameters of Moldable Ultrasound Workflows under Incomplete Performance Data.- Scheduling of Elastic Message Passing Applications on HPC Systems.- Improving Accuracy of Walltime Estimates in PBS Professional using Soft Walltimes.- Re-making the Movie-making Machine.- Open Scheduling Problems.- Using Kubernetes in Academic Environment: Problems and Approaches.