Job Scheduling Strategies for Parallel Processing - 26th Workshop, JSSPP 2023, St. Petersburg, FL, USA, May 19, 2023, Revised Selected Papers

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.

Inhaltsverzeichnis

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.

Produktdetails

• Mitarbeit: Julita Corbalán (Herausgeber), Dalibor Klusá¿ek (Herausgeber), Dalibor Klusácek (Herausgeber), Gonzalo P Rodrigo (Herausgeber), Gonzalo P. Rodrigo (Herausgeber)
• Verlag: Springer, Berlin
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 23.10.2023
• EAN: 9783031439421
• ISBN: 978-3-0-3143942-1
• Seiten: 193
• Abmessung: 155 mm x 11 mm x 235 mm
• Illustration: IX, 193 p. 66 illus., 57 illus. in color.
• Serie: Lecture Notes in Computer Science
• Thema: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Informatik