Pillars of the Mantle

Handle URI:
http://hdl.handle.net/10754/626099
Title:
Pillars of the Mantle
Authors:
Pugmire, David; Bozdağ, Ebru; Lefebvre, Matthieu; Tromp, Jeroen; Komatitsch, Dmitri; Peter, Daniel ( 0000-0002-3397-5379 ) ; Podhorszki, Norbert; Hill, Judith
Abstract:
In this work, we investigate global seismic tomographic models obtained by spectral-element simulations of seismic wave propagation and adjoint methods. Global crustal and mantle models are obtained based on an iterative conjugate-gradient type of optimization scheme. Forward and adjoint seismic wave propagation simulations, which result in synthetic seismic data to make measurements and data sensitivity kernels to compute gradient for model updates, respectively, are performed by the SPECFEM3D-GLOBE package [1] [2] at the Oak Ridge Leadership Computing Facility (OLCF) to study the structure of the Earth at unprecedented levels. Using advances in solver techniques that run on the GPUs on Titan at the OLCF, scientists are able to perform large-scale seismic inverse modeling and imaging. Using seismic data from global and regional networks from global CMT earthquakes, scientists are using SPECFEM3D-GLOBE to understand the structure of the mantle layer of the Earth. Visualization of the generated data sets provide an effective way to understand the computed wave perturbations which define the structure of mantle in the Earth.
KAUST Department:
King Abdullah University of Science and Technology
Citation:
Pugmire D, Bozdağ E, Lefebvre M, Tromp J, Komatitsch D, et al. (2017) Pillars of the Mantle. Proceedings of the Practice and Experience in Advanced Research Computing 2017 on Sustainability, Success and Impact - PEARC17. Available: http://dx.doi.org/10.1145/3093338.3104170.
Publisher:
ACM Press
Journal:
Proceedings of the Practice and Experience in Advanced Research Computing 2017 on Sustainability, Success and Impact - PEARC17
Conference/Event name:
2017 Practice and Experience in Advanced Research Computing, PEARC 2017
Issue Date:
5-Jul-2017
DOI:
10.1145/3093338.3104170
Type:
Conference Paper
Sponsors:
This work was done using resources generously made available by the Oak Ridge Leadership Computing Facility located at the Oak Ridge National Laboratory.
Additional Links:
https://dl.acm.org/citation.cfm?doid=3093338.3104170
Appears in Collections:
Conference Papers

Full metadata record

DC FieldValue Language
dc.contributor.authorPugmire, Daviden
dc.contributor.authorBozdağ, Ebruen
dc.contributor.authorLefebvre, Matthieuen
dc.contributor.authorTromp, Jeroenen
dc.contributor.authorKomatitsch, Dmitrien
dc.contributor.authorPeter, Danielen
dc.contributor.authorPodhorszki, Norberten
dc.contributor.authorHill, Judithen
dc.date.accessioned2017-11-02T09:09:33Z-
dc.date.available2017-11-02T09:09:33Z-
dc.date.issued2017-07-05en
dc.identifier.citationPugmire D, Bozdağ E, Lefebvre M, Tromp J, Komatitsch D, et al. (2017) Pillars of the Mantle. Proceedings of the Practice and Experience in Advanced Research Computing 2017 on Sustainability, Success and Impact - PEARC17. Available: http://dx.doi.org/10.1145/3093338.3104170.en
dc.identifier.doi10.1145/3093338.3104170en
dc.identifier.urihttp://hdl.handle.net/10754/626099-
dc.description.abstractIn this work, we investigate global seismic tomographic models obtained by spectral-element simulations of seismic wave propagation and adjoint methods. Global crustal and mantle models are obtained based on an iterative conjugate-gradient type of optimization scheme. Forward and adjoint seismic wave propagation simulations, which result in synthetic seismic data to make measurements and data sensitivity kernels to compute gradient for model updates, respectively, are performed by the SPECFEM3D-GLOBE package [1] [2] at the Oak Ridge Leadership Computing Facility (OLCF) to study the structure of the Earth at unprecedented levels. Using advances in solver techniques that run on the GPUs on Titan at the OLCF, scientists are able to perform large-scale seismic inverse modeling and imaging. Using seismic data from global and regional networks from global CMT earthquakes, scientists are using SPECFEM3D-GLOBE to understand the structure of the mantle layer of the Earth. Visualization of the generated data sets provide an effective way to understand the computed wave perturbations which define the structure of mantle in the Earth.en
dc.description.sponsorshipThis work was done using resources generously made available by the Oak Ridge Leadership Computing Facility located at the Oak Ridge National Laboratory.en
dc.publisherACM Pressen
dc.relation.urlhttps://dl.acm.org/citation.cfm?doid=3093338.3104170en
dc.rightsArchived with thanks to Proceedings of the Practice and Experience in Advanced Research Computing 2017 on Sustainability, Success and Impact - PEARC17en
dc.titlePillars of the Mantleen
dc.typeConference Paperen
dc.contributor.departmentKing Abdullah University of Science and Technologyen
dc.identifier.journalProceedings of the Practice and Experience in Advanced Research Computing 2017 on Sustainability, Success and Impact - PEARC17en
dc.conference.date2017-07-09 to 2017-07-13en
dc.conference.name2017 Practice and Experience in Advanced Research Computing, PEARC 2017en
dc.conference.locationNew Orleans, LA, USAen
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionOak Ridge National Laboratoryen
dc.contributor.institutionColorado School of Minesen
dc.contributor.institutionPrinceton Universityen
dc.contributor.institutionUniversity of Aix-Marseilleen
kaust.authorPeter, Danielen
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