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dc.contributor.authorYan, Mi
dc.contributor.authorJordan, Kirk
dc.contributor.authorKaushik, Dinesh
dc.contributor.authorPerrone, Michael
dc.contributor.authorSachdeva, Vipin
dc.contributor.authorTautges, Timothy J.
dc.contributor.authorMagerlein, John
dc.date.accessioned2015-05-07T13:50:55Z
dc.date.available2015-05-07T13:50:55Z
dc.date.issued2012-06-02
dc.identifier.citationCoupling a Basin Modeling and a Seismic Code using MOAB 2012, 9:986 Procedia Computer Science
dc.identifier.issn18770509
dc.identifier.doi10.1016/j.procs.2012.04.105
dc.identifier.urihttp://hdl.handle.net/10754/552452
dc.description.abstractWe report on a demonstration of loose multiphysics coupling between a basin modeling code and a seismic code running on a large parallel machine. Multiphysics coupling, which is one critical capability for a high performance computing (HPC) framework, was implemented using the MOAB open-source mesh and field database. MOAB provides for code coupling by storing mesh data and input and output field data for the coupled analysis codes and interpolating the field values between different meshes used by the coupled codes. We found it straightforward to use MOAB to couple the PBSM basin modeling code and the FWI3D seismic code on an IBM Blue Gene/P system. We describe how the coupling was implemented and present benchmarking results for up to 8 racks of Blue Gene/P with 8192 nodes and MPI processes. The coupling code is fast compared to the analysis codes and it scales well up to at least 8192 nodes, indicating that a mesh and field database is an efficient way to implement loose multiphysics coupling for large parallel machines.
dc.publisherElsevier BV
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S1877050912002268
dc.rightsArchived with thanks to Procedia Computer Science. http://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectMultiphysics coupling
dc.subjectMOAB
dc.subjectbasin modeling
dc.subjectseismic
dc.titleCoupling a Basin Modeling and a Seismic Code using MOAB
dc.typeConference Paper
dc.contributor.departmentKAUST Supercomputing Laboratory (KSL)
dc.identifier.journalProcedia Computer Science
dc.conference.date2012-06-04 to 2012-06-06
dc.conference.name12th Annual International Conference on Computational Science, ICCS 2012
dc.conference.locationOmaha, NB, USA
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionIBM Systems and Technology Group, 9229 Delegates Row, Suite 500, Indianapolis, Indiana 46240, USA
dc.contributor.institutionIBM Thomas J. Watson Research Center, 1 Rogers Street, Cambridge MA 02142, USA
dc.contributor.institutionIBM Systems and Technology Group, 1 Rogers Street, Cambridge MA 02142, USA
dc.contributor.institutionIBM Thomas J. Watson Research Center, PO Box 218, Yorktown Heights, NY 10598, USA
dc.contributor.institutionArgonne National Laboratory, Argonne, IL 60439, USA
kaust.personKaushik, Dinesh
refterms.dateFOA2018-06-13T16:54:27Z


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