High-performance computing in seismology

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The scientific, technical, and economic importance of the issues discussed here presents a clear agenda for future research in computational seismology. In this way these problems will drive advances in high-performance computing in the field of seismology. There is a broad community that will benefit from this work, including the petroleum industry, research geophysicists, engineers concerned with seismic hazard mitigation, and governments charged with enforcing a comprehensive test ban treaty. These advances may also lead to new applications for seismological research. The recent application of high-resolution seismic imaging of the shallow subsurface for the environmental remediation industry is an example ... continued below

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Medium: P; Size: 77 p.

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Creator: Unknown. September 1, 1996.

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Description

The scientific, technical, and economic importance of the issues discussed here presents a clear agenda for future research in computational seismology. In this way these problems will drive advances in high-performance computing in the field of seismology. There is a broad community that will benefit from this work, including the petroleum industry, research geophysicists, engineers concerned with seismic hazard mitigation, and governments charged with enforcing a comprehensive test ban treaty. These advances may also lead to new applications for seismological research. The recent application of high-resolution seismic imaging of the shallow subsurface for the environmental remediation industry is an example of this activity. This report makes the following recommendations: (1) focused efforts to develop validated documented software for seismological computations should be supported, with special emphasis on scalable algorithms for parallel processors; (2) the education of seismologists in high-performance computing technologies and methodologies should be improved; (3) collaborations between seismologists and computational scientists and engineers should be increased; (4) the infrastructure for archiving, disseminating, and processing large volumes of seismological data should be improved.

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Medium: P; Size: 77 p.

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OSTI as DE96014744

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  • High-performance computing in seismology, San Diego, CA (United States), 2-4 Oct 1994

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  • Other: DE96014744
  • Report No.: CONF-9410472--
  • Grant Number: FG02-94ER14445
  • Office of Scientific & Technical Information Report Number: 373833
  • Archival Resource Key: ark:/67531/metadc674372

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  • September 1, 1996

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  • July 25, 2015, 2:20 a.m.

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  • June 23, 2016, 1:04 p.m.

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High-performance computing in seismology, article, September 1, 1996; United States. (digital.library.unt.edu/ark:/67531/metadc674372/: accessed September 22, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.