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Advancing OpenMP for Future Accelerators

20th International Workshop on OpenMP, IWOMP 2024, Perth, WA, Australia, September 23–25, 2024, Proceedings

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Alexis Espinosa

    1. Pawsey Supercomputing Centre, Kensington, Australia

  2. Michael Klemm

    1. AMD and OpenMP ARB, Beaverton, USA

  3. Bronis R. de Supinski

    1. Lawrence Livermore National Laboratory, Livermore, USA

  4. Maciej Cytowski

    1. Pawsey Supercomputing Centre, Kensington, Australia

  5. Jannis Klinkenberg

    1. RWTH Aachen University, Aachen, Germany

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15195)

Included in the following conference series:

Conference proceedings info: IWOMP 2024.

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About this book

This book constitutes the refereed proceedings of the 20th International Workshop on OpenMP: Advancing OpenMP for Future Accelerators, IWOMP 2024, in Perth, WA, Australia, during September 23–25, 2024.

The 14 full papers presented in this book  were carefully reviewed and selected from 16 submissions. They are grouped into the following topics: current and future openMP optimization; targeting more devices; best practices; tools; and simplifying parallelization.

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Table of contents (14 papers)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Current and Future OpenMP Optimization

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Towards Locality-Aware Host-to-Device Offloading in OpenMP

      • Jannis Klinkenberg, Jan Kraus, Christian Terboven, Matthias S. Müller
      Pages 3-15

    3. Performance Porting the ExaStar Multi-Physics App Thornado On Heterogeneous Systems - A Fortran-OpenMP Code-Base Evaluation

      • Mathialakan Thavappiragasam, J. Austin Harris, Eirik Endeve, Brice Videau
      Pages 16-30

    4. Event-Based OpenMP Tasks for Time-Sensitive GPU-Accelerated Systems

      • Cyril Cetre, Chenle Yu, Sara Royuela, Rémi Barrere, Eduardo Quiñones, Damien Gratadour
      Pages 31-45Open Access

  3. Targeting More Devices

    1. Front Matter

      Pages 47-47
      Download chapter PDF

    2. Integrating Multi-FPGA Acceleration to OpenMP Distributed Computing

      • Pedro Henrique Rosso, Lucian Petrica, Nusrat Jahan Lisa, Marcio Pereira, Sandro Rigo, Hervé Yviquel et al.
      Pages 49-63

    3. Towards a Scalable and Efficient PGAS-Based Distributed OpenMP

      • Baodi Shan, Mauricio Araya-Polo, Barbara Chapman
      Pages 64-78

    4. Multilayer Multipurpose Caches for OpenMP Target Regions on FPGAs

      • Julian Brandner, Florian Mayer, Michael Philippsen
      Pages 79-93

  4. Best Practices

    1. Front Matter

      Pages 95-95
      Download chapter PDF

    2. Survey of OpenMP Practice in General Open Source Software

      • Tim Jammer, Christian Iwainsky, Christian Bischof
      Pages 97-110

    3. CI/CD Efforts for Validation, Verification and Benchmarking OpenMP Implementations

      • Aaron Jarmusch, Felipe Cabarcas, Swaroop Pophale, Andrew Kallai, Johannes Doerfert, Luke Peyralans et al.
      Pages 111-125

    4. Evaluation of Directive-Based Programming Models for Stencil Computation on Current GPGPU Architectures

      • Baodi Shan, Mauricio Araya-Polo, Barbara Chapman
      Pages 126-140

  5. Tools

    1. Front Matter

      Pages 141-141
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    2. Finding Equivalent OpenMP Fortran and C/C++ Code Snippets Using Large Language Models

      • Naveed Sekender, Pei-Hung Lin, Chunhua Liao
      Pages 143-160

    3. Visualizing Correctness Issues in OpenMP Programs

      • Feiyang Jin, Alan Tao, Lechen Yu, Vivek Sarkar
      Pages 161-175

    4. Developing an Interactive OpenMP Programming Book with Large Language Models

      • Xinyao Yi, Anjia Wang, Yonghong Yan, Chunhua Liao
      Pages 176-194

  6. Simplifying Parallelization

    1. Front Matter

      Pages 195-195
      Download chapter PDF

    2. Automatic Parallelization and OpenMP Offloading of Fortran Array Notation

      • Ivan R. Ivanov, Jens Domke, Toshio Endo, Johannes Doerfert
      Pages 197-209

    3. Detrimental Task Execution Patterns in Mainstream OpenMP® Runtimes

      • Adam S. Tuft, Tobias Weinzierl, Michael Klemm
      Pages 210-224
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Other volumes

  1. Advancing OpenMP for Future Accelerators

Editors and Affiliations

  • Pawsey Supercomputing Centre, Kensington, Australia

    Alexis Espinosa, Maciej Cytowski

  • AMD and OpenMP ARB, Beaverton, USA

    Michael Klemm

  • Lawrence Livermore National Laboratory, Livermore, USA

    Bronis R. de Supinski

  • RWTH Aachen University, Aachen, Germany

    Jannis Klinkenberg

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