Job Scheduling Strategies for Parallel Processing

26th Workshop, JSSPP 2023, St. Petersburg, FL, USA, May 19, 2023, Revised Selected Papers
Herausgegeben:Klusácek, Dalibor; Corbalán, Julita; Rodrigo, Gonzalo P.

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Lecture Notes in Computer Science 14283
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-43942-1
• 1st ed. 2023
• Seitenzahl: 208
• Erscheinungstermin: 15. September 2023
• Englisch
• Abmessung: 235mm x 155mm x 12mm
• Gewicht: 324g
• ISBN-13: 9783031439421
• ISBN-10: 3031439422
• Artikelnr.: 68558102

Inhaltsangabe

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.