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Iterative Krylov solution methods for geophysical electromagnetic simulations on throughput-oriented processing units
National Energy Research Scientific Computing Center, Lawrence Berkeley National Laboratory, Berkeley, USA .
2012 (English)In: The international journal of high performance computing applications, ISSN 1094-3420, E-ISSN 1741-2846, Vol. 26, no 4, 378-385 p.Article in journal (Refereed) Published
Abstract [en]

Many geo-scientific applications involve boundary value problems arising in simulating electrostatic and electromagnetic fields for geophysical prospecting and subsurface imaging of electrical resistivity. Modeling complex geological media with three-dimensional finite-difference grids gives rise to large sparse linear systems of equations. For such systems, we have implemented three common iterative Krylov solution methods on graphics processing units and compared their performance with parallel host-based versions. The benchmarks show that the device efficiency improves with increasing grid sizes. Limitations are currently given by the device memory resources.

Place, publisher, year, edition, pages
2012. Vol. 26, no 4, 378-385 p.
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Other Computer and Information Science
Identifiers
URN: urn:nbn:se:uu:diva-232889DOI: 10.1177/1094342011428145OAI: oai:DiVA.org:uu-232889DiVA: diva2:750105
Available from: 2014-09-26 Created: 2014-09-26 Last updated: 2017-12-05Bibliographically approved

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Publisher's full texthttp://hpc.sagepub.com/content/early/2011/11/16/1094342011428145.abstract

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Maia, Filipe R. N. C.

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