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• W2028408047 abstract "PreviousNext No AccessSEG Technical Program Expanded Abstracts 2008Seismic wave field modelling using high performance computingAuthors: Martin KäserJosep de al PuenteCristóbal CastroVerena HermannMichael DumbserMartin KäserLMU MünchenSearch for more papers by this author, Josep de al PuenteLMU MünchenSearch for more papers by this author, Cristóbal CastroLMU MünchenSearch for more papers by this author, Verena HermannLMU MünchenSearch for more papers by this author, and Michael DumbserUniversity of Trento and Orlando Rivera, LRZ GarchingSearch for more papers by this authorhttps://doi.org/10.1190/1.3063945 SectionsSupplemental MaterialAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract We present the newest technical and organizational developments of the simulation software SEISSOL to model seismic wave generation and propagation. The solution algorithm is based on a numerical scheme using the Discontinuous Galerkin Finite Element approach to solve hyperbolic partial differential equations. The unique property of the numerical scheme is that it approximates the solution with arbitrary high‐order accuracy in space and time due to a Cauchy‐Kovalewski time integration method the replaces the higher‐order time derivatives in the Taylor series expansion by higher order space derivatives. SEISSOL can handle hexahedral and tetrahedral meshes suitable for geometrically complex computational domains. Furthermore, a variety of different material properties can be considered to calculate accurate synthetic seismograms for realistic wave propagation scenarios, especially apparent in hydrocarbon reservoir structures. The parallel code is running on High‐Performance‐Computing facilities within the DEISA supercomputing infrastructure and represents a revealing test case for interdisciplinary and professional collaboration between geoscientists, computer scientists and software engineers. Due to the dramatic increase in the performance of massively parallel computer hardware an essential part of future developments is the improvement of the efficient exploitation of these resources.Permalink: https://doi.org/10.1190/1.3063945FiguresReferencesRelatedDetailsCited BySimulation of Energy-Efficient Demand Response for High Performance Computing SystemsContract-Based Demand Response Model for High Performance Computing SystemsAn Energy Efficient Demand-Response Model for High Performance Computing SystemsA Case Study of Energy Aware Scheduling on SuperMUCSubgrid wave modeling by transfer‐of‐approximationWilliam W. Symes and Xin Wang25 May 2012 SEG Technical Program Expanded Abstracts 2008ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2008 Pages: 3713 publication data© 2008 Copyright © 2008 Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished: 15 Dec 2008 CITATION INFORMATION Martin Käser, Josep de al Puente, Cristóbal Castro, Verena Hermann, and Michael Dumbser, (2008), Seismic wave field modelling using high performance computing, SEG Technical Program Expanded Abstracts : 2884-2888. https://doi.org/10.1190/1.3063945 Plain-Language Summary PDF DownloadLoading ..." @default.
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