Job Scheduling Strategies for Parallel Processing

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.