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010   $a9783031744303$b(electronic bk.)
010   $z9783031744297
024 7 $a10.1007/978-3-031-74430-3
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101 0 $aeng
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181   $ctxt$2rdacontent
182   $cc$2rdamedia
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200 10$aJob Scheduling Strategies for Parallel Processing $e27th International Workshop, JSSPP 2024, San Francisco, CA, USA, May 31, 2024, Revised Selected Papers /$fedited by Dalibor Klusá?ek, Julita Corbalán, Gonzalo P. Rodrigo
205   $a1st ed. 2025.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025.
215   $a1 online resource (0 pages)
225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v14591
311 08$aPrint version: Klusá?ek, Dalibor Job Scheduling Strategies for Parallel Processing Cham : Springer,c2025 9783031744297 
320   $aIncludes bibliographical references and index.
327   $a -- 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.
330   $aThis book constitutes the refereed proceedings of the 27th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2024, held in San Francisco, CA, USA, on May 31, 2024. The 10 full papers included in this book were carefully reviewed and selected from 15 submissions. The JSSPP 2024 covers several interesting problems within the resource management and scheduling domains.
410  0$aLecture Notes in Computer Science,$x1611-3349 ;$v14591
606   $aSoftware engineering
606   $aArtificial intelligence
606   $aCoding theory
606   $aInformation theory
606   $aMicroprogramming
606   $aComputer input-output equipment
606   $aLogic design
606   $aSoftware Engineering
606   $aArtificial Intelligence
606   $aCoding and Information Theory
606   $aControl Structures and Microprogramming
606   $aInput/Output and Data Communications
606   $aLogic Design
615  0$aSoftware engineering.
615  0$aArtificial intelligence.
615  0$aCoding theory.
615  0$aInformation theory.
615  0$aMicroprogramming.
615  0$aComputer input-output equipment.
615  0$aLogic design.
615 14$aSoftware Engineering.
615 24$aArtificial Intelligence.
615 24$aCoding and Information Theory.
615 24$aControl Structures and Microprogramming.
615 24$aInput/Output and Data Communications.
615 24$aLogic Design.
676   $a004.24
702   $aKlusa?c?ek$b Dalibor
702   $aCorbala?n$b Julita
702   $aRodrigo$b Gonzalo P.
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
912   $a9910983328803321
996   $aJob Scheduling Strategies for Parallel Processing$92569128
997   $aUNINA