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JSSPP (Workshop) (2024 :)

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Job scheduling strategies for parallel processing = 27th International Workshop, JSSPP 2024. San Francisco, CA, USA, May 31, 2024 : revised selected papers /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Job scheduling strategies for parallel processing/ edited by Dalibor Klusáček, Julita Corbalán, Gonzalo P. Rodrigo.
Reminder of title:	27th International Workshop, JSSPP 2024. San Francisco, CA, USA, May 31, 2024 : revised selected papers /
remainder title:	JSSPP 2024
other author:	Klusáček, Dalibor.
corporate name:	JSSPP (Workshop)
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xi, 197 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:	Technical papers. -- Real-life HPC Workload Trace Featuring Refined Job Runtime Estimates. -- An Empirical Study of Machine Learning-based Synthetic Job Trace Generation Methods. -- Clustering Based Job Runtime Prediction for Backfilling Using Classification. -- Launchpad: Learning to Schedule Using Offline and Online RL Methods. -- Radical-Cylon: A Heterogeneous Data Pipeline for Scientific Computing. -- Evaluation of Heuristic Task-to-Thread Mapping Using Static and Dynamic Approaches. -- Challenges in parallel matrix chain multiplication. -- A node selection method for on-demand job execution with considering deadline constraints. -- Maximizing Energy Budget Utilization Using Dynamic Power Cap Control. -- Run your HPC jobs in Eco-Mode: revealing the potential of user-assisted power capping in supercomputing systems.
Contained By:	Springer Nature eBook
Subject:	Parallel processing (Electronic computers) - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-74430-3
ISBN:	9783031744303

Job scheduling strategies for parallel processing = 27th International Workshop, JSSPP 2024. San Francisco, CA, USA, May 31, 2024 : revised selected papers /
Job scheduling strategies for parallel processing27th International Workshop, JSSPP 2024. San Francisco, CA, USA, May 31, 2024 : revised selected papers /[electronic resource] :JSSPP 2024edited by Dalibor Klusáček, Julita Corbalán, Gonzalo P. Rodrigo. - Cham :Springer Nature Switzerland :2025. - xi, 197 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,145910302-9743 ;. - Lecture notes in computer science ;14591..

Technical papers. -- Real-life HPC Workload Trace Featuring Refined Job Runtime Estimates. -- An Empirical Study of Machine Learning-based Synthetic Job Trace Generation Methods. -- Clustering Based Job Runtime Prediction for Backfilling Using Classification. -- Launchpad: Learning to Schedule Using Offline and Online RL Methods. -- Radical-Cylon: A Heterogeneous Data Pipeline for Scientific Computing. -- Evaluation of Heuristic Task-to-Thread Mapping Using Static and Dynamic Approaches. -- Challenges in parallel matrix chain multiplication. -- A node selection method for on-demand job execution with considering deadline constraints. -- Maximizing Energy Budget Utilization Using Dynamic Power Cap Control. -- Run your HPC jobs in Eco-Mode: revealing the potential of user-assisted power capping in supercomputing systems.

This book constitutes the refereed proceedings of the 27th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2024, held in San Francisco, CA, USA, on May 31, 2024. The 10 full papers included in this book were carefully reviewed and selected from 15 submissions. The JSSPP 2024 covers several interesting problems within the resource management and scheduling domains.

ISBN: 9783031744303

Standard No.: 10.1007/978-3-031-74430-3doiSubjects--Topical Terms:

661130
Parallel processing (Electronic computers)
--Congresses.

LC Class. No.: QA76.58

Dewey Class. No.: 004.35

Job scheduling strategies for parallel processing = 27th International Workshop, JSSPP 2024. San Francisco, CA, USA, May 31, 2024 : revised selected papers /
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