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  • Conference proceedings
  • © 2016

OpenMP: Memory, Devices, and Tasks

12th International Workshop on OpenMP, IWOMP 2016, Nara, Japan, October 5-7, 2016, Proceedings

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9903)

Part of the book sub series: Programming and Software Engineering (LNPSE)

Conference series link(s): IWOMP: International Workshop on OpenMP

Conference proceedings info: IWOMP 2016.

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Table of contents (24 papers)

  1. Front Matter

    Pages I-XI
  2. Applications

    1. Front Matter

      Pages 1-1
    2. Estimation of Round-off Errors in OpenMP Codes

      • Pacôme Eberhart, Julien Brajard, Pierre Fortin, Fabienne Jézéquel
      Pages 3-16
    3. OpenMP Parallelization and Optimization of Graph-Based Machine Learning Algorithms

      • Zhaoyi Meng, Alice Koniges, Yun (Helen) He, Samuel Williams, Thorsten Kurth, Brandon Cook et al.
      Pages 17-31
  3. Locality

    1. Front Matter

      Pages 33-33
    2. Evaluating OpenMP Affinity on the POWER8 Architecture

      • Swaroop Pophale, Oscar Hernandez
      Pages 35-46
    3. Workstealing and Nested Parallelism in SMP Systems

      • Larry Meadows, Simon J. Pennycook, Alex Duran, Terry Wilmarth, Jim Cownie
      Pages 47-60
    4. Description, Implementation and Evaluation of an Affinity Clause for Task Directives

      • Philippe Virouleau, Adrien Roussel, François Broquedis, Thierry Gautier, Fabrice Rastello, Jean-Marc Gratien
      Pages 61-73
  4. Task Parallelism

    1. Front Matter

      Pages 75-75
    2. NUMA-Aware Task Performance Analysis

      • Dirk Schmidl, Matthias S. Müller
      Pages 77-88
    3. OpenMP Extension for Explicit Task Allocation on NUMA Architecture

      • Jinpil Lee, Keisuke Tsugane, Hitoshi Murai, Mitsuhisa Sato
      Pages 89-101
    4. Approaches for Task Affinity in OpenMP

      • Christian Terboven, Jonas Hahnfeld, Xavier Teruel, Sergi Mateo, Alejandro Duran, Michael Klemm et al.
      Pages 102-115
    5. Towards Unifying OpenMP Under the Task-Parallel Paradigm

      • Artur Podobas, Sven Karlsson
      Pages 116-129
    6. A Case for Extending Task Dependencies

      • Tom Scogland, Bronis de Supinski
      Pages 130-140
    7. OpenMP as a High-Level Specification Language for Parallelism

      • Max Grossman, Jun Shirako, Vivek Sarkar
      Pages 141-155
    8. Scaling FMM with Data-Driven OpenMP Tasks on Multicore Architectures

      • Abdelhalim Amer, Satoshi Matsuoka, Miquel Pericàs, Naoya Maruyama, Kenjiro Taura, Rio Yokota et al.
      Pages 156-170
  5. Extensions

    1. Front Matter

      Pages 171-171
    2. Reducing the Functionality Gap Between Auto-Vectorization and Explicit Vectorization

      • Hideki Saito, Serge Preis, Nikolay Panchenko, Xinmin Tian
      Pages 173-186
    3. A Proposal to OpenMP for Addressing the CPU Oversubscription Challenge

      • Yonghong Yan, Jeff R. Hammond, Chunhua Liao, Alexandre E. Eichenberger
      Pages 187-202
  6. Tools

    1. Front Matter

      Pages 203-203

Other Volumes

  1. OpenMP: Memory, Devices, and Tasks

About this book

This book constitutes the proceedings of the 12th International Workshop on OpenMP, IWOMP 2016, held in Nara, Japan, in October 2016. 
The 24 full papers presented in this volume were carefully reviewed and selected from 28 submissions. They were organized in topical sections named: applications, locality, task parallelism, extensions, tools, accelerator programming, and performance evaluations and optimization.

Editors and Affiliations

  • RIKEN AICS , Kobe, Japan

    Naoya Maruyama, Mohamed Wahib

  • Lawrence Livermore National Laboratory , Livermore, USA

    Bronis R. de Supinski

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access