skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Pillars of the Mantle: Imaging the Interior of the Earth with Adjoint Tomography. In: PEARC17 Proceedings of the Practice and Experience in Advanced Research Computing 2017 on Sustainability, Success and Impact, Article No. 75

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.

Authors:
 [1];  [2];  [3];  [3];  [4];  [5];  [1];  [1]
  1. Oak Ridge National Laboratory
  2. Colorado School of Mines
  3. Princeton University
  4. University of Aix-Marseille
  5. King Abdullah University of Science and Technology
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1567648
Resource Type:
Conference
Resource Relation:
Conference: Practice and Experience in Advanced Research Computing 2017 on Sustainability, Success and Impact, New Orleans, LA, USA, July 09 - 13, 2017
Country of Publication:
United States
Language:
English

Citation Formats

Pugmire, David, Bozdağ, Ebru, Lefebvre, Matthieu, Tromp, Jeroen, Komatitsch, Dmitri, Peter, Daniel, Podhorszki, Norbert, and Hill, Judith. Pillars of the Mantle: Imaging the Interior of the Earth with Adjoint Tomography. In: PEARC17 Proceedings of the Practice and Experience in Advanced Research Computing 2017 on Sustainability, Success and Impact, Article No. 75. United States: N. p., 2017. Web. doi:10.1145/3093338.3104170.
Pugmire, David, Bozdağ, Ebru, Lefebvre, Matthieu, Tromp, Jeroen, Komatitsch, Dmitri, Peter, Daniel, Podhorszki, Norbert, & Hill, Judith. Pillars of the Mantle: Imaging the Interior of the Earth with Adjoint Tomography. In: PEARC17 Proceedings of the Practice and Experience in Advanced Research Computing 2017 on Sustainability, Success and Impact, Article No. 75. United States. doi:10.1145/3093338.3104170.
Pugmire, David, Bozdağ, Ebru, Lefebvre, Matthieu, Tromp, Jeroen, Komatitsch, Dmitri, Peter, Daniel, Podhorszki, Norbert, and Hill, Judith. Sun . "Pillars of the Mantle: Imaging the Interior of the Earth with Adjoint Tomography. In: PEARC17 Proceedings of the Practice and Experience in Advanced Research Computing 2017 on Sustainability, Success and Impact, Article No. 75". United States. doi:10.1145/3093338.3104170.
@article{osti_1567648,
title = {Pillars of the Mantle: Imaging the Interior of the Earth with Adjoint Tomography. In: PEARC17 Proceedings of the Practice and Experience in Advanced Research Computing 2017 on Sustainability, Success and Impact, Article No. 75},
author = {Pugmire, David and Bozdağ, Ebru and Lefebvre, Matthieu and Tromp, Jeroen and Komatitsch, Dmitri and Peter, Daniel and Podhorszki, Norbert and Hill, Judith},
abstractNote = {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.},
doi = {10.1145/3093338.3104170},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {1}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share:

Works referenced in this record:

Spectral-element simulations of global seismic wave propagation-I. Validation
journal, May 2002


Spectral-element simulations of global seismic wave propagation-II. Three-dimensional models, oceans, rotation and self-gravitation
journal, July 2002


Global adjoint tomography: first-generation model
journal, September 2016

  • Bozdağ, Ebru; Peter, Daniel; Lefebvre, Matthieu
  • Geophysical Journal International, Vol. 207, Issue 3
  • DOI: 10.1093/gji/ggw356

A Contract Based System For Large Data Visualization
conference, January 2005


Extreme Scaling of Production Visualization Software on Diverse Architectures
journal, May 2010

  • Childs, Hank; Pugmire, David; Ahern, Sean
  • IEEE Computer Graphics and Applications, Vol. 30, Issue 3
  • DOI: 10.1109/MCG.2010.51

Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks: HELLO ADIOS
journal, August 2013

  • Liu, Qing; Logan, Jeremy; Tian, Yuan
  • Concurrency and Computation: Practice and Experience, Vol. 26, Issue 7
  • DOI: 10.1002/cpe.3125

VTK-m: Accelerating the Visualization Toolkit for Massively Threaded Architectures
journal, May 2016

  • Moreland, Kenneth; Sewell, Christopher; Usher, William
  • IEEE Computer Graphics and Applications, Vol. 36, Issue 3
  • DOI: 10.1109/MCG.2016.48