Del 13592 i serien Lecture Notes in Computer Science

Job Scheduling Strategies for Parallel Processing

25th International Workshop, JSSPP 2022, Virtual Event, June 3, 2022, Revised Selected Papers

Häftad, Engelska, 2023

AvDalibor Klusáček,Corbalán Julita,Gonzalo P. Rodrigo

939 kr

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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.

Produktinformation

Utgivningsdatum2023-01-12
Mått155 x 235 x 15 mm
Vikt417 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor255
FörlagSpringer International Publishing AG
ISBN9783031226977

Tillhör följande kategorier

Systemvetenskap och AI inom Data och IT
Programvaruutveckling inom Data och IT

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.