Andrew T. Barker
Andrew T. Barker
Math Algorithm Engineer, Intel
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Cited by
Scalable parallel methods for monolithic coupling in fluid–structure interaction with application to blood flow modeling
AT Barker, XC Cai
Journal of computational physics 229 (3), 642-659, 2010
MFEM: A modular finite element methods library
R Anderson, J Andrej, A Barker, J Bramwell, JS Camier, J Cerveny, ...
Computers & Mathematics with Applications 81, 42-74, 2021
Two-level additive Schwarz preconditioners for a weakly over-penalized symmetric interior penalty method
AT Barker, SC Brenner, EH Park, LY Sung
Journal of Scientific Computing 47 (1), 27-49, 2011
Two-level Newton and hybrid Schwarz preconditioners for fluid-structure interaction
AT Barker, XC Cai
SIAM Journal on Scientific Computing 32 (4), 2395-2417, 2010
A one-level additive Schwarz preconditioner for a discontinuous Petrov–Galerkin method
AT Barker, SC Brenner, EH Park, LY Sung
Domain Decomposition Methods in Science and Engineering XXI, 417-425, 2014
Domain decomposition in time for PDE-constrained optimization
AT Barker, M Stoll
Computer Physics Communications 197, 136-143, 2015
A mixed finite element method for the Stokes equations based on a weakly over-penalized symmetric interior penalty approach
AT Barker, SC Brenner
Journal of Scientific Computing 58 (2), 290-307, 2014
Overlapping Schwarz domain decomposition preconditioners for the local discontinuous Galerkin method for elliptic problems
AT Barker, SC Brenner, LY Sung
Walter de Gruyter GmbH & Co. KG 19 (3), 165-187, 2011
A Scalable Preconditioner for a Primal Discontinuous Petrov--Galerkin Method
AT Barker, V Dobrev, J Gopalakrishnan, T Kolev
SIAM Journal on Scientific Computing 40 (2), A1187-A1203, 2018
A fast solver for an H1 regularized PDE-constrained optimization problem
AT Barker, T Rees, M Stoll
Communications in Computational Physics 19 (1), 143-167, 2016
NKS for fully coupled fluid-structure interaction with application
AT Barker, XC Cai
Domain decomposition methods in science and engineering XVIII, 275-282, 2009
Preconditioning a Newton-Krylov solver for all-speed melt pool flow physics
B Weston, R Nourgaliev, JP Delplanque, AT Barker
Journal of Computational Physics 397, 108847, 2019
Spectral upscaling for graph Laplacian problems with application to reservoir simulation
AT Barker, CS Lee, PS Vassilevski
SIAM Journal on Scientific Computing 39 (5), S323-S346, 2017
Parallel monolithic fluid-structure interaction algorithms with application to blood flow simulation
AT Barker
University of Colorado at Boulder, 2009
Accurate coarse-scale AMG-based finite volume reservoir simulations in highly heterogeneous media
AT Barker, DZ Kalchev, ID Mishev, PS Vassilevski, Y Yang
SPE Reservoir Simulation Symposium, 2015
A combined preconditioning strategy for nonsymmetric systems
BA de Dios, AT Barker, PS Vassilevski
SIAM Journal on Scientific Computing 36 (6), A2533-A2556, 2014
Simultaneous material, shape and topology optimization
F Fernandez, AT Barker, J Kudo, JP Lewicki, K Swartz, DA Tortorelli, ...
Computer Methods in Applied Mechanics and Engineering 371, 113321, 2020
A minimal communication approach to parallel time integration
AT Barker
International Journal of Computer Mathematics 91 (3), 601-615, 2014
Matrix‐free preconditioning for high‐order H(curl) discretizations
AT Barker, T Kolev
Numerical Linear Algebra with Applications 28 (2), e2348, 2021
Algebraic multigrid preconditioning of the Hessian in optimization constrained by a partial differential equation
AT Barker, A Drăgănescu
Numerical Linear Algebra with Applications 28 (1), e2333, 2021
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