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Shared Memory Parallel Programming with Open MP

5th International Workshop on Open MP Application and Tools, WOMPAT 2004, Houston, TX, USA, May 17-18, 2004

  • Conference proceedings
  • © 2005

Overview

Editors:
  1. Barbara M. Chapman

    1. Dept. of Computer Science, University of Houston, Houston, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3349)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: WOMPAT 2004.

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Table of contents (12 papers)

  1. Front Matter

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  2. Parallelization of General Matrix Multiply Routines Using OpenMP

    • Jonathan L. Bentz, Ricky A. Kendall
    Pages 1-11

  3. Performance Analysis of Hybrid OpenMP/MPI N-Body Application

    • Rocco Aversa, Beniamino Di Martino, Nicola Mazzocca, Salvatore Venticinque
    Pages 12-18

  4. Performance and Scalability of OpenMP Programs on the Sun FireTM E25K Throughput Computing Server

    • Myungho Lee, Brian Whitney, Nawal Copty
    Pages 19-28

  5. What Multilevel Parallel Programs Do When You Are Not Watching: A Performance Analysis Case Study Comparing MPI/OpenMP, MLP, and Nested OpenMP

    • Gabriele Jost, Jesús Labarta, Judit Gimenez
    Pages 29-40

  6. SIMT/OMP: A Toolset to Study and Exploit Memory Locality of OpenMP Applications on NUMA Architectures

    • Jie Tao, Martin Schulz, Wolfgang Karl
    Pages 41-52

  7. Dragon: A Static and Dynamic Tool for OpenMP

    • Oscar Hernandez, Chunhua Liao, Barbara Chapman
    Pages 53-66

  8. The ParaWise Expert Assistant – Widening Accessibility to Efficient and Scalable Tool Generated OpenMP Code

    • Stephen Johnson, Emyr Evans, Haoqiang Jin, Constantinos Ierotheou
    Pages 67-82

  9. Automatic Scoping of Variables in Parallel Regions of an OpenMP Program

    • Yuan Lin, Christian Terboven, Dieter an Mey, Nawal Copty
    Pages 83-97

  10. An Evaluation of Auto-Scoping in OpenMP

    • Michael Voss, Eric Chiu, Patrick Man Yan Chow, Catherine Wong, Kevin Yuen
    Pages 98-109

  11. Structure and Algorithm for Implementing OpenMP Workshares

    • Guansong Zhang, Raul Silvera, Roch Archambault
    Pages 110-120

  12. Efficient Implementation of OpenMP for Clusters with Implicit Data Distribution

    • Zhenying Liu, Lei Huang, Barbara Chapman, Tien-Hsiung Weng
    Pages 121-136

  13. Runtime Adjustment of Parallel Nested Loops

    • Alejandro Duran, Raúl Silvera, Julita Corbalán, Jesús Labarta
    Pages 137-147

  14. Back Matter

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  1. Shared Memory Parallel Programming with Open MP

Keywords

About this book

This book contains the Proceedings of the 5th Workshop on OpenMP Appli- tionsandTools(WOMPAT2004),whichtookplaceattheUniversityofHouston, Houston, Texas on May 17 and 18, 2004. Previous workshops in this series took place in Toronto, Canada, Fairbanks, Alaska, Purdue, Indiana, and San Diego, California.Thepurposeoftheworkshopwastobringtogetherusersanddevel- ers of the OpenMP API for shared memory parallel programming to disseminate their ideas and experiences and discuss the latest developments in OpenMP and its application. To support this aim, the program comprised a mixture of invited talks from research and industry, experience reports, and submitted papers, the last of which are presented in this volume. A tutorial introduction to OpenMP was held at the same location on May 18 by Ruud van der Pas from Sun Microsystems. Further, a two-day lab session called OMPlab was held immediately following the workshop and the tutorial on May 19 and 20, and was attended by both novice and advanced users. Many of the hardware vendors and several researchers gave in-depth tutorials on their softwareandmadetheirsystemsavailabletobothnoviceandadvancedattendees during OMPlab. Contributors to the WOMPAT 2004 OMPlab included IBM, Intel, Sun, the University of Tennessee, NASA, the University of Greenwich, Cornell University, the University of Oregon and the University of Houston. TheOpenMPAPIisawidelyacceptedstandardforhigh-levelsharedmemory parallel programming that was put forth by a consortium of vendors in 1997.

Editors and Affiliations

  • Dept. of Computer Science, University of Houston, Houston, USA

    Barbara M. Chapman

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