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Accelerator Programming Using Directives

4th International Workshop, WACCPD 2017, Held in Conjunction with the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2017, Denver, CO, USA, November 13, 2017, Proceedings

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Sunita Chandrasekaran

    1. University of Delaware, Newark, USA

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  2. Guido Juckeland

    1. Helmholtz-Zentrum Dresden-Rossendorf e.V., Dresden, Germany

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10732)

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

Included in the following conference series:

Conference proceedings info: WACCPD 2017.

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Table of contents (9 papers)

  1. Front Matter

    Pages I-IX
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  2. Applications

    1. Front Matter

      Pages 1-1
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    2. An Example of Porting PETSc Applications to Heterogeneous Platforms with OpenACC

      • Pi-Yueh Chuang, Fernanda S. Foertter
      Pages 3-19

    3. Hybrid Fortran: High Productivity GPU Porting Framework Applied to Japanese Weather Prediction Model

      • Michel Müller, Takayuki Aoki
      Pages 20-41

    4. Implicit Low-Order Unstructured Finite-Element Multiple Simulation Enhanced by Dense Computation Using OpenACC

      • Takuma Yamaguchi, Kohei Fujita, Tsuyoshi Ichimura, Muneo Hori, Maddegedara Lalith, Kengo Nakajima
      Pages 42-59

  3. Runtime Environments

    1. Front Matter

      Pages 61-61
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    2. The Design and Implementation of OpenMP 4.5 and OpenACC Backends for the RAJA C++ Performance Portability Layer

      • William Killian, Tom Scogland, Adam Kunen, John Cavazos
      Pages 63-82

    3. Enabling GPU Support for the COMPSs-Mobile Framework

      • Francesc Lordan, Rosa M. Badia, Wen-Mei Hwu
      Pages 83-102

    4. Concurrent Parallel Processing on Graphics and Multicore Processors with OpenACC and OpenMP

      • Christopher P. Stone, Roger L. Davis, Daryl Y. Lee
      Pages 103-122

  4. Program Evaluation

    1. Front Matter

      Pages 123-123
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    2. Exploration of Supervised Machine Learning Techniques for Runtime Selection of CPU vs. GPU Execution in Java Programs

      • Gloria Y. K. Kim, Akihiro Hayashi, Vivek Sarkar
      Pages 125-144

    3. Automatic Testing of OpenACC Applications

      • Khalid Ahmad, Michael Wolfe
      Pages 145-159

    4. Evaluation of Asynchronous Offloading Capabilities of Accelerator Programming Models for Multiple Devices

      • Jonas Hahnfeld, Christian Terboven, James Price, Hans Joachim Pflug, Matthias S. Müller
      Pages 160-182

  5. Back Matter

    Pages 183-183
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  1. Accelerator Programming Using Directives

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About this book

This book constitutes the refereed post-conference proceedings of the 4th International Workshop on Accelerator Programming Using Directives, WACCPD 2017, held in Denver, CO, USA, in November 2017.

The 9 full papers presented have been carefully reviewed and selected from 14 submissions. The papers share knowledge and experiences to program emerging complex parallel computing systems. They are organized in the following three sections: applications; environments; and program evaluation.

Editors and Affiliations

  • University of Delaware, Newark, USA

    Sunita Chandrasekaran

  • Helmholtz-Zentrum Dresden-Rossendorf e.V., Dresden, Germany

    Guido Juckeland

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