Parallel I/O and computation for 3D post-stack depth migration

Charles C. Mosher; Calvin L. Joyner

doi:10.1117/12.187485

23 September 1994 Parallel I/O and computation for 3D post-stack depth migration

Charles C. Mosher, Calvin L. Joyner

Proceedings Volume 2301, Mathematical Methods in Geophysical Imaging II; (1994) https://doi.org/10.1117/12.187485
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

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.

Citation Download Citation

Charles C. Mosher and Calvin L. Joyner "Parallel I/O and computation for 3D post-stack depth migration", Proc. SPIE 2301, Mathematical Methods in Geophysical Imaging II, (23 September 1994); https://doi.org/10.1117/12.187485

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