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Parallelisation of seismic algorithms using PVM and FORGE

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High-Performance Computing and Networking (HPCN-Europe 1996)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1067))

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Abstract

The processing of seismic data, for the imaging of the earth's subsurface, is pushing current computational possibilities to the limit. In this paper results are presented obtained by optimisation and parallelisation of two innovative seismic algorithms with the use of PVM and FORGE. It shows that where the algorithm is CPU bound, a very significant speedup can be acquired, whereas IO-bound algorithms cannot take advantage of the parallel implementation. This leads to two distinct approaches for optimisation.

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Authors and Affiliations

  1. TNO Institute of Applied Geoscience, P.O. Box 6012, 2600, JA Delft, The Netherlands

    H. Wedemeijer, H. L. H. Cox, D. J. Verschuur & I. L. Ritsema

Authors
  1. H. Wedemeijer
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  2. H. L. H. Cox
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  3. D. J. Verschuur
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  4. I. L. Ritsema
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Editor information

Heather Liddell Adrian Colbrook Bob Hertzberger Peter Sloot

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© 1996 Springer-Verlag Berlin Heidelberg

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Wedemeijer, H., Cox, H.L.H., Verschuur, D.J., Ritsema, I.L. (1996). Parallelisation of seismic algorithms using PVM and FORGE. In: Liddell, H., Colbrook, A., Hertzberger, B., Sloot, P. (eds) High-Performance Computing and Networking. HPCN-Europe 1996. Lecture Notes in Computer Science, vol 1067. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61142-8_569

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  • DOI: https://doi.org/10.1007/3-540-61142-8_569

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61142-4

  • Online ISBN: 978-3-540-49955-8

  • eBook Packages: Springer Book Archive

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