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Developing a Data-Parallel Application with DaParT

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Parallel Processing and Applied Mathematics (PPAM 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2328))

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Abstract

In order to simplify the task of developing parallel programs based on data-parallel paradigm, this article presents a data-parallel programming tool: DaParT. With its usage, sequential solutions of the nonexpert parallel programmers can be run in data-parallel. The tool was implemented on Helios, MPL, PVM and MPI. The tool is portable to the parallel environments with the support for the basic message passing primitives. The usage of the tool is clarified by an example: simulation of the Hopfield net. Lastly, the benchmark results collected are discussed.

This study was partially supported by the British Council under the Academic Link project between University of London and Middle East Technical University.

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References

  1. High Performance Fortran Forum: High Performance Fortran Language Specification Version 2.0. (1997)

    Google Scholar 

  2. DPCE Subcommittee: Data Parallel C Extensions. (1994)

    Google Scholar 

  3. Colajanni, M., Cermele, M.: DAME: An environment for preserving the efficiency of data-parallel computations on distributed systems. Distributed Computing 41 (1997)

    Google Scholar 

  4. Koutsompinas, E.: The PVM implementation of the SAPS model. Master’s thesis, University of London (1994)

    Google Scholar 

  5. Sęner, C.: DaParT: A Data-Parallel Programming Tool. PhD thesis, Dept. of Computer Engineeering, Middle East Technical University (2000)

    Google Scholar 

  6. Sęner, C., Paker, Y., Kiper, A.: Data-parallel programming on Helios, Parallel Environment and PVM. In: Proc. of Int. Conf. on Parallel and Distributed Systems, France (1996)

    Google Scholar 

  7. Kel, H.: Introduction to MPL. Maui High Performance Computing Center (1998)

    Google Scholar 

  8. Geist, A., Beguelin, A., Dongarra, J., Jiang, W., Mancheck, R., Sundream, V.: PVM: A Users’ Guide and Tutorial for Networked Parallel Computing. The MIT Press (1993)

    Google Scholar 

  9. Gropp, W., Lusk, E., Skjellum, A.: Using MPI. The MIT Press, Cambridge, Massachusetts (1997)

    Google Scholar 

  10. Bailey, D., Harris, T., Saphir, W., Wijngaart, R., Woo, A., W. Yarrow: Nas parallel benchmarks 2.0. Technical Report NAS-95-020, NASA (1995)

    Google Scholar 

  11. Saini, S., Bailey, D.: Nas parallel benchmark results. Technical Report NAS-95-021, NASA (1995)

    Google Scholar 

  12. Saphir, W., Woo, A., Yarrow, M.: Nas parallel benchmark results. Technical Report NAS-96-010, NASA (1996)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Middle East Technical University, 06531, Ankara, Turkey

    Cevat Sęner & Ayşe Kiper

  2. Queen Mary and Westfield College, University of London, 4WE, London, England

    Yakup Paker

Authors
  1. Cevat Sęner
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  2. Yakup Paker
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  3. Ayşe Kiper
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Editor information

Editors and Affiliations

  1. Institute of Mathematics and Computer Science, Technical University of Czestochowa, Dabrowskiego 73, 42-200, Czestochowa, Poland

    Roman Wyrzykowski

  2. Computer Science Department, University of Tennessee, 122 Volunteer Blvd, Knoxville, TN, 37996-3450, USA

    Jack Dongarra

  3. Computer Science Department, Oklahoma State University, 700 N. Greenwood Ave., Tulsa, OK, 74106, USA

    Marcin Paprzycki

  4. DTU, UNI-C, Danish Computing Centre for Research and Education, Bldg. 304, 2800, Lyngby, Denmark

    Jerzy Waśniewski

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© 2002 Springer-Verlag Berlin Heidelberg

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Sęner, C., Paker, Y., Kiper, A. (2002). Developing a Data-Parallel Application with DaParT. In: Wyrzykowski, R., Dongarra, J., Paprzycki, M., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2001. Lecture Notes in Computer Science, vol 2328. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48086-2_31

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  • DOI: https://doi.org/10.1007/3-540-48086-2_31

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43792-5

  • Online ISBN: 978-3-540-48086-0

  • eBook Packages: Springer Book Archive

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