Job Scheduling Strategies for Parallel Processing [[electronic resource] ] : 26th Workshop, JSSPP 2023, St. Petersburg, FL, USA, May 19, 2023, Revised Selected Papers / / edited by Dalibor Klusáček, Julita Corbalán, Gonzalo P. Rodrigo

• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
• Edizione: 1st ed. 2023.
• Descrizione fisica: 1 online resource (200 pages)
• Disciplina: 004.35
• Soggetto topico: Software engineering; Artificial intelligence; Coding theory; Information theory; Microprogramming; Computer input-output equipment; Logic design; Software Engineering; Artificial Intelligence; Coding and Information Theory; Control Structures and Microprogramming; Input/Output and Data Communications; Logic Design
• Persona (resp. second.): KlusáĉekDalibor; CorbalánJulita; RodrigoGonzalo P.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Architecture of the Slurm Workload Manager -- Asynchronous Execution of Heterogeneous Tasks in ML-driven HPC Workflows -- Memory-Aware Latency Prediction Model for Concurrent Kernels in Partitionable GPUs: Simulations and Experiments -- Stragglers in Distributed Matrix Multiplication -- 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Job Scheduling Strategies for Parallel Processing
• ISBN: 3-031-43943-0
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996550557603316
• Lo trovi qui: Univ. di Salerno
• Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 14283