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From the Big Bang to Massive Data Flow: Parallel Computing in High Energy Physics Experiments

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Book cover Applied Parallel Computing. New Paradigms for HPC in Industry and Academia (PARA 2000)

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Abstract

Tracking detectors in high-energy physics experiments produce hundreds of megabytes of data at a rate of several hundred Hz. Processing this data at a bandwidth of 10-20 Gbyte/sec requires parallel computing. Reducing the huge data rate to a manageable amount by realtime data compression and pattern recognition techniques is the prime task. Clustered SMP (Symmetric Multi-Processor) nodes, based on off-the-shelf PCs and connected by a high bandwidth, low latency network, provide the necessary computing power. Such a system can easily be interfaced to the front-end electronics of the detectors via the internal PCI-bus. Data compression techniques like vector quantization and data modeling and fast transformations like conformal mapping or the adaptive, generalized Hough-transform for feature extraction are the methods of choice.

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Author information

Authors and Affiliations

  1. Department of Physics, University of Bergen, Allegaten 55, 5007, Bergen, Norway

    D. Röhrich, H. K. Sollveit, K. Ullaland & A. Vestbø

  2. Bergen College, Postboks 7030, 5020, Bergen, Norway

    H. Helstrup & J. Lien

  3. IKF, University of Frankfurt, August-Euler-Strasse 6, D-60486, Frankfurt, Germany

    C. Adler, J. Berger, D. Flierl, S. Lange, D. Schmischke, R. Stock & C. Struck

  4. KIP, University of Heidelberg, Schröderstraβe 90, D-69120, Heidelberg, Germany

    V. Lindenstruth, M. Schulz, T. Steinbeck & A. Wiebalck

  5. Department of Physics, University of Oslo, Postboks 1048 Blindern, 0316, Oslo, Norway

    B. Skaali

Authors
  1. C. Adler
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  2. J. Berger
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  3. D. Flierl
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  4. H. Helstrup
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  5. S. Lange
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  6. J. Lien
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  7. V. Lindenstruth
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  8. D. Röhrich
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  9. D. Schmischke
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  10. M. Schulz
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  11. B. Skaali
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  12. H. K. Sollveit
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  13. T. Steinbeck
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  14. R. Stock
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  15. C. Struck
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  16. K. Ullaland
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  17. A. Vestbø
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  18. A. Wiebalck
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Editor information

Editors and Affiliations

  1. Department of Informatics, University of Bergen, 5020, Bergen, Norway

    Tor Sørevik , Fredrik Manne  & Assefaw Hadish Gebremedhin ,  & 

  2. Parallab, University of Bergen, 5020, Bergen, Norway

    Randi Moe

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© 2001 Springer-Verlag Berlin Heidelberg

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Adler, C. et al. (2001). From the Big Bang to Massive Data Flow: Parallel Computing in High Energy Physics Experiments. In: Sørevik, T., Manne, F., Gebremedhin, A.H., Moe, R. (eds) Applied Parallel Computing. New Paradigms for HPC in Industry and Academia. PARA 2000. Lecture Notes in Computer Science, vol 1947. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-70734-4_39

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  • DOI: https://doi.org/10.1007/3-540-70734-4_39

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41729-3

  • Online ISBN: 978-3-540-70734-9

  • eBook Packages: Springer Book Archive

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