Omar Ghattas
Omar Ghattas
Jackson School of Geosciences, Mechanical Engineering, & Oden Institute, Univ of Texas at Austin
Verified email at ices.utexas.edu - Homepage
Title
Cited by
Cited by
Year
p4est: Scalable Algorithms for Parallel Adaptive Mesh Refinement on Forests of Octrees
C Burstedde, LC Wilcox, O Ghattas
SIAM Journal on Scientific Computing 33 (3), 1103-1133, 2011
5152011
Large-scale simulation of elastic wave propagation in heterogeneous media on parallel computers
H Bao, J Bielak, O Ghattas, LF Kallivokas, DR O'Hallaron, JR Shewchuk, ...
Computer methods in applied mechanics and engineering 152 (1-2), 85-102, 1998
3871998
Model reduction for large-scale systems with high-dimensional parametric input space
T Bui-Thanh, K Willcox, O Ghattas
SIAM Journal on Scientific Computing 30 (6), 3270-3288, 2008
3232008
Parallel Lagrange--Newton--Krylov--Schur Methods for PDE-Constrained Optimization. Part I: The Krylov--Schur Solver
G Biros, O Ghattas
SIAM Journal on Scientific Computing 27 (2), 687-713, 2005
3092005
A stochastic Newton MCMC method for large-scale statistical inverse problems with application to seismic inversion
J Martin, LC Wilcox, C Burstedde, O Ghattas
SIAM Journal on Scientific Computing 34 (3), A1460-A1487, 2012
3072012
The dynamics of plate tectonics and mantle flow: From local to global scales
G Stadler, M Gurnis, C Burstedde, LC Wilcox, L Alisic, O Ghattas
Science 329 (5995), 1033-1038, 2010
2332010
High resolution forward and inverse earthquake modeling on terascale computers
V Akcelik, J Bielak, G Biros, I Epanomeritakis, A Fernandez, O Ghattas, ...
Proceedings of the 2003 ACM/IEEE conference on Supercomputing, 52, 2003
2232003
A computational framework for infinite-dimensional Bayesian inverse problems Part I: The linearized case, with application to global seismic inversion
T Bui-Thanh, O Ghattas, J Martin, G Stadler
SIAM Journal on Scientific Computing 35 (6), A2494-A2523, 2013
2162013
Parameter and state model reduction for large-scale statistical inverse problems
C Lieberman, K Willcox, O Ghattas
SIAM Journal on Scientific Computing 32 (5), 2523-2542, 2010
2132010
A high-order discontinuous Galerkin method for wave propagation through coupled elastic–acoustic media
LC Wilcox, G Stadler, C Burstedde, O Ghattas
Journal of Computational Physics 229 (24), 9373-9396, 2010
2122010
Large-scale PDE-constrained optimization: an introduction
LT Biegler, O Ghattas, M Heinkenschloss, B van Bloemen Waanders
Large-Scale PDE-Constrained Optimization, 3-13, 2003
2112003
From mesh generation to scientific visualization: An end-to-end approach to parallel supercomputing
T Tu, H Yu, L Ramirez-Guzman, J Bielak, O Ghattas, KL Ma, ...
SC'06: Proceedings of the 2006 ACM/IEEE conference on Supercomputing, 12-12, 2006
2102006
Goal-oriented, model-constrained optimization for reduction of large-scale systems
T Bui-Thanh, K Willcox, O Ghattas, B van Bloemen Waanders
Journal of Computational Physics 224 (2), 880-896, 2007
1962007
Non-linear model reduction for uncertainty quantification in large-scale inverse problems
D Galbally, K Fidkowski, K Willcox, O Ghattas
International Journal for Numerical Methods in Engineering 81, 1581-1608, 2010
1942010
A Newton-CG method for large-scale three-dimensional elastic full-waveform seismic inversion
I Epanomeritakis, V Akçelik, O Ghattas, J Bielak
Inverse Problems 24 (3), 034015, 2008
1842008
Parallel Lagrange--Newton--Krylov--Schur methods for PDE-constrained optimization. Part II: The Lagrange--Newton solver and its application to optimal control of steady viscous …
G Biros, O Ghattas
SIAM Journal on Scientific Computing 27 (2), 714-739, 2005
1672005
Parallel multiscale Gauss-Newton-Krylov methods for inverse wave propagation
V Akcelik, G Biros, O Ghattas
SC'02: Proceedings of the 2002 ACM/IEEE Conference on Supercomputing, 41-41, 2002
1592002
Fast algorithms for Bayesian uncertainty quantification in large-scale linear inverse problems based on low-rank partial Hessian approximations
HP Flath, LC Wilcox, V Akçelik, J Hill, B van Bloemen Waanders, ...
SIAM Journal on Scientific Computing 33 (1), 407-432, 2011
1562011
Large-scale inverse problems and quantification of uncertainty
L Biegler, G Biros, O Ghattas, M Heinkenschloss, D Keyes, B Mallick, ...
John Wiley & Sons, 2011
1392011
A computational framework for infinite-dimensional Bayesian inverse problems, Part II: Stochastic Newton MCMC with application to ice sheet flow inverse problems
N Petra, J Martin, G Stadler, O Ghattas
SIAM Journal on Scientific Computing 36 (4), A1525-A1555, 2014
1342014
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