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Job Scheduling Strategies for Parallel Processing
Details
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.
Inhalt
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.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783031439421
- Genre Information Technology
- Auflage 1st edition 2023
- Editor Dalibor Klusá ek, Gonzalo P. Rodrigo, Julita Corbalán
- Lesemotiv Verstehen
- Anzahl Seiten 208
- Größe H235mm x B155mm x T12mm
- Jahr 2023
- EAN 9783031439421
- Format Kartonierter Einband
- ISBN 3031439422
- Veröffentlichung 15.09.2023
- Titel Job Scheduling Strategies for Parallel Processing
- Untertitel 26th Workshop, JSSPP 2023, St. Petersburg, FL, USA, May 19, 2023, Revised Selected Papers
- Gewicht 324g
- Herausgeber Springer Nature Switzerland
- Sprache Englisch