Job scheduling strategies for parallel processing : 26th Workshop, JSSPP 2023, St. Petersburg, FL, USA, May 19, 2023, Revised selected papers / Dalibor Klusáček, Julita Corbalán, Gonzalo P. Rodrigo, editors.
JSSPP (Workshop) (26th : 2023 : Saint Petersburg, Fla.); Klusáĉek, Dalibor, editor.; Corbalán, Julita, editor.; Rodrigo, Gonzalo P., editor.
2023
QA76.58
Available Online

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Title
Job scheduling strategies for parallel processing : 26th Workshop, JSSPP 2023, St. Petersburg, FL, USA, May 19, 2023, Revised selected papers / Dalibor Klusáček, Julita Corbalán, Gonzalo P. Rodrigo, editors.
Meeting Name
JSSPP (Workshop) (26th : 2023 : Saint Petersburg, Fla.)
ISBN
9783031439438 (electronic bk.)
3031439430 (electronic bk.)
9783031439421
3031439422
DOI
https://doi.org/10.1007/978-3-031-43943-8
Published
Cham : Springer, 2023.
Language
English
Description
1 online resource (ix, 193 pages) : illustrations (some color).
Item Number
10.1007/978-3-031-43943-8 doi
Call Number
QA76.58
Dewey Decimal Classification
004/.35
Summary
This book constitutes the thoroughly refereed post-conference proceedings of the 26th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2023, held in St. Petersburg, FL, USA, during May 19, 2023. The 8 full papers and one keynote paper included in this book were carefully reviewed and selected from 14 submissions. The volume contains two sections: keynote and technical papers.
Note
Includes author index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed September 20, 2023).
Added Author
Klusáĉek, Dalibor, editor.
Corbalán, Julita, editor.
Rodrigo, Gonzalo P., editor.
Series
Lecture notes in computer science ; 14283. 1611-3349
Available in Other Form
Print version: 9783031439421
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Online Access
Record Appears in
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All Resources
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Optimization Metrics for the Evaluation of Batch Schedulers in HPC
An experimental analysis of regression-obtained HPC scheduling heuristics
An efficient approach based on graph neural networks for predicting wait time in job schedulers
Evaluating the Potential of Coscheduling on High-Performance Computing Systems
Scaling Optimal Allocation of Cloud Resources Using Lagrange Relaxation.

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