Parallel Seismic Data Processing

Martin Karrenbach, Petra Knopf and Matthias Jacob
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Martin Karrenbach: Karlsruhe University, Geophysical Institute
Petra Knopf: Karlsruhe University, Geophysical Institute
Matthias Jacob: Karlsruhe University, Geophysical Institute

A chapter in High Performance Computing in Science and Engineering ’98, 1999, pp 73-83 from Springer

Abstract: 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.

Keywords: Seismic Data; Seismic Array; Language Construct; Seismic Data Processing; Computational Kernel (search for similar items in EconPapers)
Date: 1999
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DOI: 10.1007/978-3-642-58600-2_8

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