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High Performance Computing for Visualisation and Image Analysis

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Book cover Visual Informatics: Bridging Research and Practice (IVIC 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5857))

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Abstract

Visualisation of data is an area of increasing importance in a wide range of areas such as complex systems, simulation of large systems, seismic image analysis and medical applications. Image analysis has also increased in importance such as in automatic surveillance. In this presentation I will concentrate on techniques and applications I have been involved with or led. These are 1) The design of the PIPADS machine (Parallel Image Processing and Display System), which was designed to analyse and visualise seismic data as well as remote sensing data. 2) The design of a High Performance fault tolerant parallel computing system for the Singaporean satellite X-Sat, which is a remote sensing satellite equipped with a multi spectral camera. 3) The use of the COPACOBANA engine for computer tomography for the Australian Synchrotron, to produce a 10Kx10Kx4K 3D image out of 5K 10Kx4K projections. This engine has the additional particular feature that it is extremely energy efficient – a characteristic of increasing importance.

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Author information

Authors and Affiliations

  1. School of Computer Science & Information Technology, RMIT University, Melbourne, Australia

    Heiko Schröder

Authors
  1. Heiko Schröder
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Editor information

Editors and Affiliations

  1. Universiti Kebangsaan Malaysia, Bangi, Malaysia

    Halimah Badioze Zaman

  2. Computer Laboratory, University of Cambridge, 15 JJ Thomson Avenue, CB3 0FD, Cambridge, United Kingdom

    Peter Robinson

  3. Communications and Signal Processing Group, Electrical and Electronic Engineering Department, Imperial College, SW7 2AZ, London, UK

    Maria Petrou

  4. School of Computing Science, Culture Lab, University of Newcastle upon Tyne, NE1 7RU, United Kingdom

    Patrick Olivier

  5. School of Computer Science and Information Technology, RMIT University, GPO Box 2476, 3001, Melbourne, Victoria, Australia

    Heiko Schröder

  6. Department of Computer Science and Information Engineering, Tamkang University, Tamkang University,, Taiwan

    Timothy K. Shih

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© 2009 Springer-Verlag Berlin Heidelberg

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Schröder, H. (2009). High Performance Computing for Visualisation and Image Analysis. In: Badioze Zaman, H., Robinson, P., Petrou, M., Olivier, P., Schröder, H., Shih, T.K. (eds) Visual Informatics: Bridging Research and Practice. IVIC 2009. Lecture Notes in Computer Science, vol 5857. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05036-7_2

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  • DOI: https://doi.org/10.1007/978-3-642-05036-7_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05035-0

  • Online ISBN: 978-3-642-05036-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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