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Performance assessment of parallel spectral analysis: Towards a practical performance model for parallel medical applications

  • Track C2: Computational Science
  • Conference paper
  • First Online:
High-Performance Computing and Networking (HPCN-Europe 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1593))

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Abstract

We present a parallel, medical application for the analysis of dynamic positron emission tomography (PET) images together with a practical performance model. The parallel application improves the diagnosis for a patient (e. g. in epilepsy surgery) because it enables the fast computation of parametric images on a pixel level in contrast to the traditionally used region of interest (ROI) approach. We derive a simple performance model from the application context and demonstrate the accuracy of the model to predict the runtime of the application on a NOW. The model is used to determine an optimal value for the length of the messages with regard to the per message overhead and the load imbalance.

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Author information

Authors and Affiliations

  1. Nuklearmedizinische Klinik und Poliklinik des Klinikums rechts der Isar, München, Germany

    F. Munz, S. Ziegler, P. Bartenstein & M. Schwaiger

  2. Lehrstuhl für Rechnertechnik und Rechnerorganisation, Technische Universität München (TUM), München, Germany

    F. Munz, T. Ludwig & A. Bode

Authors
  1. F. Munz
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  2. T. Ludwig
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  3. S. Ziegler
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  4. P. Bartenstein
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  5. M. Schwaiger
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  6. A. Bode
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Editor information

Peter Sloot Marian Bubak Alfons Hoekstra Bob Hertzberger

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© 1999 Springer-Verlag

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Munz, F., Ludwig, T., Ziegler, S., Bartenstein, P., Schwaiger, M., Bode, A. (1999). Performance assessment of parallel spectral analysis: Towards a practical performance model for parallel medical applications. In: Sloot, P., Bubak, M., Hoekstra, A., Hertzberger, B. (eds) High-Performance Computing and Networking. HPCN-Europe 1999. Lecture Notes in Computer Science, vol 1593. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0100604

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  • DOI: https://doi.org/10.1007/BFb0100604

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65821-4

  • Online ISBN: 978-3-540-48933-7

  • eBook Packages: Springer Book Archive

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