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Performance evaluation of HPF for scientific computing

  • Conference paper
  • First Online:
High-Performance Computing and Networking (HPCN-Europe 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 919))

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Abstract

We consider the application of High Performance Fortran (HPF) for solving scientific computing problems. We show how an efficient elliptic partial differential equation solver can be stated in Fortran 90 and how it can be made to run in parallel with HPF's data distribution directives. Performance figures are then presented showing efficient parallel implementation on SMP and workstation cluster architectures.

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References

  1. High Performance Fortran Language Specification, High Performance Fortran Forum, Report CRPC-TR92225, Centre for Research on Parallel Computation, Rice University, Houston (1992).

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  2. PVM: A Framework for Parallel Distributed Computing, V.S. Sunderam, Concurrency: Practice and Experience, Volume 2, Number 4 (December 1990).

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  3. MPI: A Message Passing Interface Standard, MPI Forum (March 1994).

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  4. An Overview of High Performance Computing for the Physical Sciences, Geoffrey Fox & Paul Coddington, NPAC Technical Report SCCS-488 (February 1993).

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Authors and Affiliations

  1. European Expertise Centre, Scientific & Technical Computing Group, Digital Equipment Corporation, Ballybrit, Galway, Ireland

    Brendan Boulter

Authors
  1. Brendan Boulter
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Bob Hertzberger Giuseppe Serazzi

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© 1995 Springer-Verlag Berlin Heidelberg

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Boulter, B. (1995). Performance evaluation of HPF for scientific computing. In: Hertzberger, B., Serazzi, G. (eds) High-Performance Computing and Networking. HPCN-Europe 1995. Lecture Notes in Computer Science, vol 919. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0046695

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  • DOI: https://doi.org/10.1007/BFb0046695

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-59393-5

  • Online ISBN: 978-3-540-49242-9

  • eBook Packages: Springer Book Archive

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