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Parallel Seismic Data Processing

In: High Performance Computing in Science and Engineering ’98

Author

Listed:
  • Martin Karrenbach

    (Karlsruhe University, Geophysical Institute)

  • Petra Knopf

    (Karlsruhe University, Geophysical Institute)

  • Matthias Jacob

    (Karlsruhe University, Geophysical Institute)

Abstract

In Geophysics measured seismic data sets need to be analyzed using numerical operators. Such operators consist of Fourier Transforms, integral transforms, convolutions and other mathematical concepts. The result of such inversion methods is a realistic description of the subsurface of the earth. In this project we port a seismic processing package, called SEPLIB, which has been developed at Stanford University, to a parallel environment such as the Cray T3E. This package is a cornerstone of current software development for seismic algorithms in the Geophysical Institute at the University of Karlsruhe and as such is used as a basis for other computationally intensive seismic projects. We concentrate in this article on the end user aspect of utilizing High Performance Fortran to implement geophysical seismic algorithms. We compare strategies in which the computational domain is distributed over various processors with ensembles of computational grids aligned using the HPF standard language.

Suggested Citation

  • Martin Karrenbach & Petra Knopf & Matthias Jacob, 1999. "Parallel Seismic Data Processing," Springer Books, in: Egon Krause & Willi Jäger (ed.), High Performance Computing in Science and Engineering ’98, pages 73-83, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-58600-2_8
    DOI: 10.1007/978-3-642-58600-2_8
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