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.
Original language | English (US) |
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Title of host publication | PEARC 2017 - Practice and Experience in Advanced Research Computing 2017 |
Subtitle of host publication | Sustainability, Success and Impact |
Publisher | Association for Computing Machinery |
ISBN (Electronic) | 9781450352727 |
DOIs | |
State | Published - Jul 9 2017 |
Event | 2017 Practice and Experience in Advanced Research Computing, PEARC 2017 - New Orleans, United States Duration: Jul 9 2017 → Jul 13 2017 |
Publication series
Name | ACM International Conference Proceeding Series |
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Volume | Part F128771 |
Conference
Conference | 2017 Practice and Experience in Advanced Research Computing, PEARC 2017 |
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Country/Territory | United States |
City | New Orleans |
Period | 07/9/17 → 07/13/17 |
Bibliographical note
Publisher Copyright:© 2017 Copyright held by the owner/author(s).
ASJC Scopus subject areas
- Software
- Human-Computer Interaction
- Computer Vision and Pattern Recognition
- Computer Networks and Communications