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Job Scheduling Strategies for Parallel Processing

26th Workshop, JSSPP 2023, St. Petersburg, FL, USA, May 19, 2023, Revised Selected Papers

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Dalibor Klusáček

    1. CESNET, Prague, Czech Republic

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    You can also search for this editor in PubMed   Google Scholar

  2. Julita Corbalán

    1. Barcelona Supercomputing Center, Barcelona, Spain

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    You can also search for this editor in PubMed   Google Scholar

  3. Gonzalo P. Rodrigo

    1. Apple, Cupertino, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14283)

Included in the following conference series:

Conference proceedings info: JSSPP 2023.

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Table of contents (9 papers)

  1. Front Matter

    Pages i-ix
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  2. Keynote

    1. Front Matter

      Pages 1-1
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    2. Architecture of the Slurm Workload Manager

      • Morris A. Jette, Tim Wickberg
      Pages 3-23

  3. Technical Papers

    1. Front Matter

      Pages 25-25
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    2. Asynchronous Execution of Heterogeneous Tasks in ML-Driven HPC Workflows

      • Vincent R. Pascuzzi, Ozgur O. Kilic, Matteo Turilli, Shantenu Jha
      Pages 27-45

    3. Memory-Aware Latency Prediction Model for Concurrent Kernels in Partitionable GPUs: Simulations and Experiments

      • Alessio Masola, Nicola Capodieci, Roberto Cavicchioli, Ignacio Sanudo Olmedo, Benjamin Rouxel
      Pages 46-73

    4. Stragglers in Distributed Matrix Multiplication

      • Roy Nissim, Oded Schwartz
      Pages 74-96

    5. Optimization Metrics for the Evaluation of Batch Schedulers in HPC

      • Robin Boëzennec, Fanny Dufossé, Guillaume Pallez
      Pages 97-115

    6. An Experimental Analysis of Regression-Obtained HPC Scheduling Heuristics

      • Lucas Rosa, Danilo Carastan-Santos, Alfredo Goldman
      Pages 116-136

    7. An Efficient Approach Based on Graph Neural Networks for Predicting Wait Time in Job Schedulers

      • Tomoe Kishimoto, Tomoaki Nakamura
      Pages 137-154

    8. Evaluating the Potential of Coscheduling on High-Performance Computing Systems

      • Jason Hall, Arjun Lathi, David K. Lowenthal, Tapasya Patki
      Pages 155-172

    9. Scaling Optimal Allocation of Cloud Resources Using Lagrange Relaxation

      • Luis de la Torre, Mahantesh Halappanavar
      Pages 173-192

  4. Back Matter

    Pages 193-193
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  1. Job Scheduling Strategies for Parallel Processing

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About this book

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.

Editors and Affiliations

  • CESNET, Prague, Czech Republic

    Dalibor Klusáček

  • Barcelona Supercomputing Center, Barcelona, Spain

    Julita Corbalán

  • Apple, Cupertino, USA

    Gonzalo P. Rodrigo

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