High-order finite-element seismic wave propagation modeling with MPI on a large GPU cluster
By Dimitri Komatitsch, Gordon Erlebacher, Dominik Göddeke, David Michéa. Journal of Computational Physics, 2010
296 citations recorded by the source corpus.
Subfields: Computational Mechanics, Electrical and Electronic Engineering, Geophysics
View Paper: https://www.semanticscholar.org/paper/60952ae7c6327061ebc729a9973ff0df04caded7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Qinya Liu
- Jeroen Tromp
- Dimitri Komatitsch
- Roland Martin
- T. Nissen‐Meyer
- Yu Jeffrey Gu
- Michael Dumbser
- Martin Käser
In Electrical and Electronic Engineering
- Qinya Liu
- Dimitri Komatitsch
- Roland Martin
- Jeroen Tromp
- T. Nissen‐Meyer
- Yang Luo
- Daniel Peter
- Pieyre Le Loher
In Geophysics
- Qinya Liu
- Jeroen Tromp
- Dimitri Komatitsch
- Yu Jeffrey Gu
- Daniel Peter
- Roland Martin
- Yang Luo
- T. Nissen‐Meyer
Citations in the corpus
- Forward and adjoint simulations of seismic wave propagation on fully unstructured hexahedral meshes (2011, background): “…implementations on very large supercomputers (Komatitsch & Tromp 2002a; Komatitsch et al. 2003; Tsuboi et al. 2003; Komatitsch et al. 2008; Carrington et al. 2008; Komatitsch et al. 2010b) as well as on clusters of GPU accelerating graphics cards (Komatitsch et al. 2009, 2010a, Komatitsch 2011).”
- FTI: High performance Fault Tolerance Interface for hybrid systems (2011, methodology): “Recently, SPECFEM3D was ported to GPU clusters using CUDA [47, 48], so it can be used in hybrid systems such as TSUBAME2.”
- Seismic imaging: From classical to adjoint tomography (2012, background): “Thismakes SEM extremely efficient and scalable on parallel computers, especially when ported to take advantage of recent Graphics Processing Unit (GPU) hardwares (Komatitsch et al., 2009, 2010).”