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High Level Abstractions for Improving Parallel Image Reconstruction Algorithms

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Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living (IWANN 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5518))

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Abstract

New trends in parallel computing are moving towards multicore processors. A new factor then arises in such scenario, concurrence. But concurrence is not parallelism. Parallel applications that wish to take advantage of this new environment need to take this into consideration, or being completely rewritten in such a way that parallelism can be expressed by means of concurrence. In this evolving scenario, abstractions may help to keep performance. This paper shows how abstractions play an important role from the performance and scalability perspective when used to model the problem.

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Author information

Authors and Affiliations

  1. Dept. Arquitectura de Computadores y Electrónica, Universidad de Almería, Spain

    Jose A. Álvarez & Javier Roca Piera

Authors
  1. Jose A. Álvarez
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  2. Javier Roca Piera
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Editor information

Editors and Affiliations

  1. Graduate School of Engineering, Osaka Prefecture University, Osaka, Japan

    Sigeru Omatu

  2. Department of Informatics / CCTC, University of Minho, Braga, Portugal

    Miguel P. Rocha

  3. MAmI Research Lab, University of Castilla-La Mancha,, Ciudad Real, Spain

    José Bravo

  4. Department of Informatics, University of Vigo, Ourense, Spain

    Florentino Fernández

  5. Grupo de Investigación GICAP, Área de Lenguajes Higher Polytechnic School, Universidad de Burgos, Burgos, Spain

    Emilio Corchado

  6. Higher Polytechnic School, University of Burgos, Burgos, Spain

    Andrés Bustillo

  7. Department of Informatics, University of Salamanca, Salamanca, Spain

    Juan M. Corchado

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© 2009 Springer-Verlag Berlin Heidelberg

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Álvarez, J.A., Piera, J.R. (2009). High Level Abstractions for Improving Parallel Image Reconstruction Algorithms. In: Omatu, S., et al. Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living. IWANN 2009. Lecture Notes in Computer Science, vol 5518. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02481-8_8

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  • DOI: https://doi.org/10.1007/978-3-642-02481-8_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02480-1

  • Online ISBN: 978-3-642-02481-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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