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An MPI Implementation for Distributed Signal Processing

  • Conference paper
Recent Advances in Parallel Virtual Machine and Message Passing Interface (EuroPVM/MPI 2005)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 3666))

Abstract

Video, image and signal processing applications show a high computational complexity and real-time restrictions. Hence they demand task distribution on DSP multi-computers. Unfortunately, DSP vendors offer these platforms nowadays with proprietary kernels and hardware specific communication libraries. As a result, current applications are hardware targeted and not portable at all. We understand that the use of MPI in the signal processing world should help to improve this scenery. This article describes a preliminary implementation of MPI for Sundance machines. Size and performance figures are given.

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References

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Author information

Authors and Affiliations

  1. Departament of Computer Science, University of Extremadura, Avda. de la Universidad s/n, 10071, Cáceres, Spain

    J. A. Rico Gallego, J. C. Díaz Martín & J. M. Álvarez Llorente

Authors
  1. J. A. Rico Gallego
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  2. J. C. Díaz Martín
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  3. J. M. Álvarez Llorente
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Editor information

Editors and Affiliations

  1. Dipartimento di Ingegneria dell’ Informazione, Second University of Naples - Italy, Real Casa dell’Annunziata - via Roma, 29, 81031, Aversa, CE, Italy

    Beniamino Di Martino

  2. GUP, Institute of Graphics and Parallel Processing, Johannes Kepler University, Altenbergerstraße 69, A-4040, Linz, Austria

    Dieter Kranzlmüller

  3. Computer Science Department, University of Tennessee, 37996-3450, Knoxville, TN, USA

    Jack Dongarra

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© 2005 Springer-Verlag Berlin Heidelberg

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Gallego, J.A.R., Martín, J.C.D., Llorente, J.M.Á. (2005). An MPI Implementation for Distributed Signal Processing. In: Di Martino, B., Kranzlmüller, D., Dongarra, J. (eds) Recent Advances in Parallel Virtual Machine and Message Passing Interface. EuroPVM/MPI 2005. Lecture Notes in Computer Science, vol 3666. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11557265_60

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  • DOI: https://doi.org/10.1007/11557265_60

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29009-4

  • Online ISBN: 978-3-540-31943-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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