Scaling OpenMP for Exascale Performance and Portability

13th International Workshop on OpenMP, IWOMP 2017, Stony Brook, NY, USA, September 20–22, 2017, Proceedings

  • Bronis R. de Supinski
  • Stephen L. Olivier
  • Christian Terboven
  • Barbara M. Chapman
  • Matthias S. Müller
Conference proceedings IWOMP 2017
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10468)

Table of contents

  1. Front Matter
    Pages I-XI
  2. Best Paper

  3. Advanced Implementations and Extensions

    1. Front Matter
      Pages 31-31
    2. Hyojin Sung, Tong Chen, Zehra Sura, Tarique Islam
      Pages 33-47
    3. Marcio M. Pereira, Rafael C. F. Sousa, Guido Araujo
      Pages 48-61
    4. Jinpil Lee, Francesco Petrogalli, Graham Hunter, Mitsuhisa Sato
      Pages 62-74
  4. OpenMP Application Studies

    1. Front Matter
      Pages 75-75
    2. Larry Meadows, Ken-ichi Ishikawa
      Pages 77-91
    3. Florian Wende, Martijn Marsman, Zhengji Zhao, Jeongnim Kim
      Pages 107-122
    4. Mikko Byckling, Juhani Kataja, Michael Klemm, Thomas Zwinger
      Pages 123-137
  5. Analyzing and Extending Tasking

    1. Front Matter
      Pages 139-139
    2. Peder Voldnes Langdal, Magnus Jahre, Ananya Muddukrishna
      Pages 141-155
    3. Joseph Schuchart, Mathias Nachtmann, José Gracia
      Pages 156-168
    4. Antoni Navarro, Sergi Mateo, Josep Maria Perez, Vicenç Beltran, Eduard Ayguadé
      Pages 169-182
  6. OpenMP 4 Application Evaluation

  7. Extended Parallelism Models

    1. Front Matter
      Pages 201-201

About these proceedings

Introduction

This book constitutes the proceedings of the 13th International Workshop on OpenMP, IWOMP 2017, held in Stony Brook, NY, USA, in September 2017.

The 23 full papers presented in this volume were carefully reviewed and selected from 28 submissions. They were organized in topical sections named: Advanced Implementations and Extensions; OpenMP Application Studies; Analyzing and Extending Tasking; OpenMP 4 Application Evaluation; Extended Parallelism Models: Performance Analysis and Tools; and Advanced Data Management with OpenMP.

Keywords

Applied computing Data Parallelism GPU Multicore Multiprocessing OpenMP Parallel architecture Parallel processing systems Parallel programming Program compilers Program processors Programming languages Shared Memory

Editors and affiliations

  1. 1.Lawrence Livermore National LaboratoryLivermoreUSA
  2. 2.Sandia National LaboratoriesAlbuquerqueUSA
  3. 3.RWTH Aachen UniversityAachenGermany
  4. 4.Stony Brook UniversityStony BrookUSA
  5. 5.RWTH Aachen UniversityAachenGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-65578-9
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-65577-2
  • Online ISBN 978-3-319-65578-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book