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Proceedings Paper

Parallel I/O and computation for 3D post-stack depth migration
Author(s): Charles C. Mosher; Calvin L. Joyner
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Paper Abstract

Scalable parallel algorithms for seismic imaging remain a significant challenge for the oil and gas industry. Scalability must address both the computational and the input/output portions of the algorithm in question. These issues are addressed by the ARCO Seismic Benchmark Suite, a public domain software system that provides an environment for development and performance analysis of parallel seismic processing algorithm. We illustrate some of the issues in the design of scalable parallel imaging algorithms with an example process, 3D post-stack depth migration. The algorithm used is based on an implicit finite difference formulation described by Zhiming Li. Scalability is obtained by designing computation, communication between processors, and input/output as parallel operations. The resulting application runs efficiently on both distributed memory and shared memory hardware platforms with processor counts from 1 - 128 nodes.

Paper Details

Date Published: 23 September 1994
PDF: 9 pages
Proc. SPIE 2301, Mathematical Methods in Geophysical Imaging II, (23 September 1994); doi: 10.1117/12.187485
Show Author Affiliations
Charles C. Mosher, ARCO Exploration and Production Technology (United States)
Calvin L. Joyner, ARCO Exploration and Production Technology (United States)


Published in SPIE Proceedings Vol. 2301:
Mathematical Methods in Geophysical Imaging II
Siamak Hassanzadeh, Editor(s)

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