Job Scheduling Strategies for Parallel Processing: 26th Workshop, JSSPP 2023, St. Petersburg, FL, USA, May 19, 2023, Revised Selected Papers
Author:   Dalibor Klusáček ,  Julita Corbalán ,  Gonzalo P. Rodrigo
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2023
Volume:   14283
ISBN:  

9783031439421


Pages:   193
Publication Date:   15 September 2023
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Job Scheduling Strategies for Parallel Processing: 26th Workshop, JSSPP 2023, St. Petersburg, FL, USA, May 19, 2023, Revised Selected Papers


Overview

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.

Full Product Details

Author:   Dalibor Klusáček ,  Julita Corbalán ,  Gonzalo P. Rodrigo
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2023
Volume:   14283
Weight:   0.326kg
ISBN:  

9783031439421


ISBN 10:   3031439422
Pages:   193
Publication Date:   15 September 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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