CM2020: 16TH COPPER MOUNTAIN CONFERENCE ON ITERATIVE METHODS

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Acer, Seher	Parallel spectral partitioning on multiple GPUs
Adams, Mark	Preconditioning a Fully Implicit Gyrokinetic Electromagnetic Particle-in-Cell Method
Adler, James	A Finite-Element Framework for a Mimetic Finite-Difference Discretization of Maxwell's Equations Monolithic Multigrid for a Stabilized Discretization of the Poroelastic Equations
Ahmad, Sanwar	A Hybrid Approach for Image Reconstruction in Electrical Impedance Tomography
Alexanderian, Alen	Hyper-Differential Sensitivity Analysis for Inverse Problems.
An, Dong	Quantum linear system solver based on time-optimal adiabatic quantum computing and quantum approximate optimization algorithm
Ananthan, Shreyas	Incompressible Navier-Stokes with Two-Stage Gauss-Seidel Smoothers for FGMRES-AMG
Anderson, Steven	A moment-accelerated iterative implicit solver for the multispecies 1D-2V Vlasov-Fokker-Planck – Ampère kinetic equation
Antil, Harbir	A Fast Solver for the Fractional Helmholtz Equation
Appelo, Daniel	WaveHoltz an Iterative Solver for the Helmholtz Equation via the Wave Equation. Part 1: Theoretical Aspects. WaveHoltz an Iterative Solver for the Helmholtz Equation via the Wave Equation. Part 2: Experiments, implementation and extensions.
Atzberger, Paul	GMLS-Nets: a convolutional neural network architecture for unstructured point-cloud data
Azzam,	Randomized Iterative Methods for Low Rank Matrix Approximation
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Baglama, James	Hybrid Iterative Refined Methods for Symmetric Eigenvalue Problems
Barker, Andrew	Algebraic Multigrid Preconditioning for PDE-constrained Optimization Matrix-free preconditioning for high-order finite elements
Barrett, Aaron	Redundancy as a Remedy for Delayed Communication in Asynchronous Solvers
Barros, Kipton	Multi-tasking deep learning models for predictions of total energy of solid solution alloys
Beckwith, Kris	Discretization of the Multi-fluid Plasma Model using IMEX and Mixed Continuous/Discontinuous FEM
Benzaken, Joseph	Progressive three-precision multigrid solvers
Benzi, Michele	Block preconditioners for the the coupled Darcy-Stokes problem Computing Generalized Matrix Functions with Singular Value Estimation
Berger-Vergiat, Luc	MueLu's SA-AMG implementation and performance on GPUs Algebraic Multigrid for Highly Convective Flow Simulations
Bettencourt, Matt	Algebraic Multigrid Methods for Large-Scale Electromagnetic Particle-in-Cell Simulations Finite Element Tools for Performance Portability of Implicit and IMEX Simulations on Next Generation Architectures Discretization of the Multi-fluid Plasma Model using IMEX and Mixed Continuous/Discontinuous FEM
Bielich, Daniel	One-Reduce FGMRES-AMG with Two-Stage Gauss-Seidel Smoothers on GPU Delayed Re-Orthogonalization to Achieve One-Synch Classical Gram-Schmidt Applied to GMRES and Krylov-Schur Algorithms
Bochev, Pavel	Meshless Remap of Native Fields for Earth System Models via Generalized Moving Least Squares Interface Flux Recovery Coupling Method for the Ocean-Atmosphere System
Bollhoefer, Matthias	Iterative Solution Methods for Nonnegative Matrix Factorizations
Bolten, Matthias	Non-overlapping block smoothers for the Stokes equations
Boman, Erik G.	Parallel spectral partitioning on multiple GPUs
Boon, Wietse	Robust Preconditioners for Mixed-dimensional Models of Flow in Fractured Porous Media
Bootland, Niall	A GenEO coarse space for solving the heterogeneous Helmholtz equation with domain decomposition methods Analysis of parallel Schwarz solvers for time-harmonic wave propagation problems
Braglia, Vanessa	Multilevel training of deep residual networks
Brenner, Susanne	Additive Schwarz Preconditioners for a Localized Orthogonal Decomposition Method
Budisa, Ana	Robust Preconditioners for Mixed-dimensional Models of Flow in Fractured Porous Media
Buenger, Alexandra	A low-rank matrix equation method for solving PDE-constrained optimization problems
Bui, Quan	A Multigrid Reduction Framework for Flow in Porous and Fractured Media
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Canning, Andrew	Unconstrained Energy Functional Methods for Massively Parallel Iterative Eigensolvers
Cartwright, Keith	Discretization of the Multi-fluid Plasma Model using IMEX and Mixed Continuous/Discontinuous FEM
Castelletto, Nicola	Enhanced Relaxed Physical Factorization Preconditioner for Three-Field Poroelasticity A Multigrid Reduction Framework for Flow in Porous and Fractured Media Preconditioning for a Stabilized Mixed-Hybrid Formulation of Biot’s Poroelasticity Equations Multiscale preconditioning for coupled porous media flow and geomechanics on unstructured grids
Cavanaugh, Casey	A Finite-Element Framework for a Mimetic Finite-Difference Discretization of Maxwell's Equations
Chacon, Luis	Scalable implicit, adaptive MFEM-based solvers for reduced resistive MHD Preconditioning a Fully Implicit Gyrokinetic Electromagnetic Particle-in-Cell Method A coupled thermal radiative transfer and kinetic plasma solver A moment-accelerated iterative implicit solver for the multispecies 1D-2V Vlasov-Fokker-Planck – Ampère kinetic equation An iterative particle-in-cell scheme for the hybrid plasma model using physics-based preconditioning
Chang, Choong-Seock	Preconditioning a Fully Implicit Gyrokinetic Electromagnetic Particle-in-Cell Method
Chaouqui, Faycal	On appropriate coarse spaces for asynchronous Optimized Schwarz Method
Charest, Marc	Multimaterial, three temperature radiation-hydrodynamics solver for ICF applications
Chen, Guangye	An iterative particle-in-cell scheme for the hybrid plasma model using physics-based preconditioning
Chen, Qiao	Robust and Efficient Multilevel-ILU Preconditioning of Newton-GMRES with Applications to Navier-Stokes Equations Overcoming Gibbs Phenomenon in Data Remap and Convection-Dominant PDEs using WLS-ENO Techniques
Chen, Tyler	On the Convergence Rate of Variants of the Conjugate Gradient Algorithm in Finite Precision Arithmetic Predict-and-recompute Conjugate Gradient Variants
Chertkov, Michael	Energy Function Approach to the Time-Varying Optimal Gas Flow
Childs, Andrew	High-precision quantum algorithms for partial differential equations
Chow, Edmond	Asynchronous SGD for Training DNNs
Chu, Ran	Nonlinear Solvers for Two-species Neutrino-matter Equations in Core-Collapse Supernovae Simulations
Claus, Lisa	Non-overlapping block smoothers for the Stokes equations
Coleman, Evan	Dynamic Non-Uniform Randomization in Asynchronous Linear Solvers
Conde, Sidafa	Scalable Block Preconditioning of Implicit / IMEX FE Continuum Plasma Physics Models
Corrigan, Andrew	Regularized Non-linear Least-Squares Unconstrained Minimization Method for High-order Finite-Element Implicit Shock-Fitting in Space-Time
Costa, Pedro	Quantum algorithm for simulating the wave equation
Crockatt, Michael	Scalable Block Preconditioning of Implicit / IMEX FE Continuum Plasma Physics Models
Cyr, Eric C.	Finite Element Tools for Performance Portability of Implicit and IMEX Simulations on Next Generation Architectures Towards Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint Scalable Block Preconditioning of Implicit / IMEX FE Continuum Plasma Physics Models Layer-Parallel Training and Multilevel Initialization for Deep Residual Neural Networks GMLS-Nets: a convolutional neural network architecture for unstructured point-cloud data Discretization of the Multi-fluid Plasma Model using IMEX and Mixed Continuous/Discontinuous FEM
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D'Ambra, Pasqua	Finding AMG aggregates in a haystack: from maximum product matching to scalable solvers
D'Elia, Marta	A Fast Solver for the Fractional Helmholtz Equation
De Sterck, Hans	Optimizing MGRIT and Parareal coarse-grid operators for linear advection
DeCaria, Victor	A new implicit Eulerian solver for semiconductor models
Degroote, Joris	A new quasi-Newton method for a black-box system with a physics-based surrogate
Del Ben, Mauro	Unconstrained Energy Functional Methods for Massively Parallel Iterative Eigensolvers
Demeester, Toon	A new quasi-Newton method for a black-box system with a physics-based surrogate
Di, Zichao	CALIBRATING SENSING DRIFT IN TOMOGRAPHIC INVERSION
Di Pietro, Daniele	An h-multigrid method for Hybrid High-Order discretizations
Ding, Nan	Leveraging One-Sided Communication for Sparse Triangular Solvers
Dolean, Victorita	A GenEO coarse space for solving the heterogeneous Helmholtz equation with domain decomposition methods Analysis of parallel Schwarz solvers for time-harmonic wave propagation problems
Donatelli, Marco	Spectral-based fast solvers for finite volume discretizations of a conservative fractional diffusion problem
Draganescu, Andrei	Algebraic Multigrid Preconditioning for PDE-constrained Optimization
Dubey, Abhishek	INCISIVE DVF INVERSION VIA BI-RESIDUAL FEEDBACK
Dunton, Alec	Error Analysis of Mixed Precision Algorithms for Computing Matrix Interpolative Decompositions
Durastante, Fabio	Finding AMG aggregates in a haystack: from maximum product matching to scalable solvers
Dwarka, Vandana	Scalable convergence using two-level deflation preconditioning for the Helmholtz equation
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Eisenbach, Markus	Multi-tasking deep learning models for predictions of total energy of solid solution alloys
El-Guide, Mohamed	A Rational Approximation Method for Large-Scale Nonlinear Eigenvalue Problems
Eliasof, Moshe	LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks
Elman, Howard	A Low-Rank Solver for the Unsteady Navier-Stokes Equations An efficient solver for nonlinear Bayesian inverse problems
Endeve, Eirik	Nonlinear Solvers for Two-species Neutrino-matter Equations in Core-Collapse Supernovae Simulations
Ephrath, Jonathan	LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks
Esmaily, Mahdi	A parallel multigrid technique for nonsymmetric elliptic systems with application to variable-density flows
Evans, Katherine	A scalable semi-implicit barotropic mode solver for the MPAS-Ocean
Evans, Thomas	Domain Decomposed Monte Carlo Transport on GPUs in Shift
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Falgout, Robert	Improving Hypre's semi-structured support Recent Development of Multigrid Solvers in HYPRE on Modern Heterogeneous Computing Platforms Expressing AMG Interpolation in Terms of Sparse Matrix-Matrix Multiplications Optimizing MGRIT and Parareal coarse-grid operators for linear advection
Farthing, Matthew	Analysis of the sensitivity of output wave height to input bottom friction and bathymetry in the coastal wave model STWAVE
Ferronato, Massimiliano	Preconditioning for a Stabilized Mixed-Hybrid Formulation of Biot’s Poroelasticity Equations
Ferronato, Massimiliano	Enhanced Relaxed Physical Factorization Preconditioner for Three-Field Poroelasticity
Filippone, Salvatore	Finding AMG aggregates in a haystack: from maximum product matching to scalable solvers
Finder, Shahaf	Exploiting Sparsity in the Estimation of Gaussian Mixture Models
Fox, Alyson	Redundancy as a Remedy for Delayed Communication in Asynchronous Solvers Mixed-Precision Arithmetic for Graph Clustering and Graph Ranking Compressibility Constraints for Adaptive Rate ZFP Compression in Iterative Methods Error Analysis of Mixed Precision Algorithms for Computing Matrix Interpolative Decompositions
Francois, Marianne	An implicit approach to phase field modeling of solidification for metals and alloys
Freifeld, Oren	Exploiting Sparsity in the Estimation of Gaussian Mixture Models
Friedhoff, Stephanie	Optimizing MGRIT and Parareal coarse-grid operators for linear advection
Frigo, Matteo	Enhanced Relaxed Physical Factorization Preconditioner for Three-Field Poroelasticity Preconditioning for a Stabilized Mixed-Hybrid Formulation of Biot’s Poroelasticity Equations
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Gaedke-Merzhauser, Lisa	Multilevel training of deep residual networks
Garay, José	Additive Schwarz Preconditioners for a Localized Orthogonal Decomposition Method
Garcia, Fortino	WaveHoltz an Iterative Solver for the Helmholtz Equation via the Wave Equation. Part 1: Theoretical Aspects. WaveHoltz an Iterative Solver for the Helmholtz Equation via the Wave Equation. Part 2: Experiments, implementation and extensions.
Gaspar, Francisco	A Finite-Element Framework for a Mimetic Finite-Difference Discretization of Maxwell's Equations A two level method for isogeometric discretizations
Gauger, Nicolas	Layer-Parallel Training and Multilevel Initialization for Deep Residual Neural Networks
Gazzola, Silvia	Krylov Methods for Low-Rank Regularization An Inner-Outer Iterative Method for Edge Preservation in Image Restoration and Reconstruction
Ghosh, Supriyo	An implicit approach to phase field modeling of solidification for metals and alloys
Giraud, Luc	Deflation and preconditioning strategies for sequences of sampled stochastic elliptic equations
Glusa, Christian	Algebraic Multigrid Methods for Large-Scale Electromagnetic Particle-in-Cell Simulations MueLu's SA-AMG implementation and performance on GPUs A Fast Solver for the Fractional Helmholtz Equation
Goldenberg, Steven	Low-Rank Stopping Criteria for Block Parallel SVD
Greenbaum, Anne	On the Convergence Rate of Variants of the Conjugate Gradient Algorithm in Finite Precision Arithmetic
Greene, Patrick	Regularized Non-linear Least-Squares Unconstrained Minimization Method for High-order Finite-Element Implicit Shock-Fitting in Space-Time
Greif, Chen	A Scalable Approximate Inverse Block Preconditioner for an Incompressible Magnetohydrodynamics Model Problem
Gross, Ben	GMLS-Nets: a convolutional neural network architecture for unstructured point-cloud data
Guenther, Stefanie	Layer-Parallel Training and Multilevel Initialization for Deep Residual Neural Networks
Gulian, Mamikon A.	Towards Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint
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Haber, Eldad	LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks
Haber, Eldad	A Multilevel Hyperbolic Neural Network for Image Segmentation.
Haelterman, Rob	A new quasi-Newton method for a black-box system with a physics-based surrogate
Hallman, Eric	Sharp 2-norm Error Bounds for the Conjugate Gradient Method and LSQR
Hamilton, Steven	Domain Decomposed Monte Carlo Transport on GPUs in Shift
Hammer, Hans	A coupled thermal radiative transfer and kinetic plasma solver
Harris, Austin	Nonlinear Solvers for Two-species Neutrino-matter Equations in Core-Collapse Supernovae Simulations
Harrow, Aram	Low-depth gradient measurements can improve convergence in variational hybrid quantum-classical algorithms
Hart, Joseph	Hyper-Differential Sensitivity Analysis for Inverse Problems. Efficient Training of Neural Network Surrogate Methods with Variable Projection
He, Yunhui	Optimal Asymptotic Convergence Rates for Nesterov and Anderson Acceleration with Application to Tensor Decomposition Monolithic Multigrid for a Stabilized Discretization of the Poroelastic Equations
Heinlein, Alexander	Machine Learning in adaptive domain decomposition methods-- predicting the geometric location of constraints FROSch - A framework for parallel Schwarz preconditioners in Trilinos
Hesser, Tyler	Analysis of the sensitivity of output wave height to input bottom friction and bathymetry in the coastal wave model STWAVE
Hon, Sean	Band-Toeplitz preconditioners for nonsymmetric ill-conditioned Toeplitz systems
Howle, Victoria	Block Preconditioning for Implicit Runge-Kutta Methods for Time-Dependent
Hu, Jonathan	Algebraic Multigrid Methods for Large-Scale Electromagnetic Particle-in-Cell Simulations MueLu's SA-AMG implementation and performance on GPUs
Hu, Xiaozhe	A Multilevel Subgraph Preconditioner for Linear Equations in Graph Laplacians A Finite-Element Framework for a Mimetic Finite-Difference Discretization of Maxwell's Equations Computing a posteriori error estimates for algebraic multigrid methods on graphs Nesterov Accelerated Multigrid Method Monolithic Multigrid for a Stabilized Discretization of the Poroelastic Equations Robust Preconditioners for Mixed-dimensional Models of Flow in Fractured Porous Media
Huang, Ru	Computing Generalized Matrix Functions with Singular Value Estimation
Huang, Xiang	CALIBRATING SENSING DRIFT IN TOMOGRAPHIC INVERSION
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Iaccarino, Gianluca	A parallel multigrid technique for nonsymmetric elliptic systems with application to variable-density flows
Iliopoulos, Alexandros-Stavros	INCISIVE DVF INVERSION VIA BI-RESIDUAL FEEDBACK
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Jakubikova, Elena	Sparse trigonometric interpolation with applications to computational chemistry
Jensen, Erik	Dynamic Non-Uniform Randomization in Asynchronous Linear Solvers
Jiao, Xiangmin	Overcoming Gibbs Phenomenon in Data Remap and Convection-Dominant PDEs using WLS-ENO Techniques
Jofre, Lluis	A parallel multigrid technique for nonsymmetric elliptic systems with application to variable-density flows
Jolivet, Pierre	A GenEO coarse space for solving the heterogeneous Helmholtz equation with domain decomposition methods
Jones, Philip	A scalable semi-implicit barotropic mode solver for the MPAS-Ocean
Jordan, Kirk	Future of Computing – How May Iterative Methods Exploit Future Technology Directions
Jordan, Stephen	Quantum algorithm for simulating the wave equation
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Kalantzis, Vasileios	Domain decomposition Rayleigh-Ritz approaches for symmetric generalized eigenvalue problems
Kalchev, Delyan	Condensed Nonconforming Reformulations for Preconditioning Finite Element Discretization Problems
Kan, Kelvin	A Projected Newton-Krylov Method for Large-Scale Bound-Constrained Optimization Problems
Kang, Hyun	A scalable semi-implicit barotropic mode solver for the MPAS-Ocean
Kashi, Aditya	Smoothing by asynchronous iterations and sparse approximate inverses for fluid dynamics on graphics processing units
Katrutsa, Alexander	Optimizing parameters of iterative methods with stochastic optimization
Kaushagen, John	Improving linear solver performance using machine learning
Kelley, Brian	Multicolor Block Gauss-Seidel using Kokkos
Kelley, Carl	Analysis of the sensitivity of output wave height to input bottom friction and bathymetry in the coastal wave model STWAVE Sparse trigonometric interpolation with applications to computational chemistry Newton's Method in Mixed Precision
Kercher, Andrew	Regularized Non-linear Least-Squares Unconstrained Minimization Method for High-order Finite-Element Implicit Shock-Fitting in Space-Time
Khan, Taufiquar	A Hybrid Approach for Image Reconstruction in Electrical Impedance Tomography
Khatri, Ratna	Deep Learning Enriched with Fractional Operators
Kilmer, Misha	An Inner-Outer Iterative Method for Edge Preservation in Image Restoration and Reconstruction
Klawonn, Axel	Machine Learning in adaptive domain decomposition methods-- predicting the geometric location of constraints FROSch - A framework for parallel Schwarz preconditioners in Trilinos
Klevtsov, Sergey	Multiscale preconditioning for coupled porous media flow and geomechanics on unstructured grids
Kolev, Tzanio	Scalable implicit, adaptive MFEM-based solvers for reduced resistive MHD
Kong, Fande	Scalable multilevel domain decomposition methods with SG coarse spaces for the multigroup neutron transport equations
Kopanicakova, Alena	Multilevel training of deep residual networks
Krause, Rolf	Multilevel training of deep residual networks Spectral-based fast solvers for finite volume discretizations of a conservative fractional diffusion problem
Krovi, Hari	Quantum algorithm for linear systems and applications to plasma dynamics
Krzysik, Oliver	Optimizing MGRIT and Parareal coarse-grid operators for linear advection
Ku, Seung-Hoe	Preconditioning a Fully Implicit Gyrokinetic Electromagnetic Particle-in-Cell Method
Kuberry, Paul	Meshless Remap of Native Fields for Earth System Models via Generalized Moving Least Squares Interface Flux Recovery Coupling Method for the Ocean-Atmosphere System
Kyriakis, Alexandros	Analysis of parallel Schwarz solvers for time-harmonic wave propagation problems
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Laiu, Paul	Nonlinear Solvers for Two-species Neutrino-matter Equations in Core-Collapse Supernovae Simulations
Langou, Julien	One-Reduce FGMRES-AMG with Two-Stage Gauss-Seidel Smoothers on GPU Delayed Re-Orthogonalization to Achieve One-Synch Classical Gram-Schmidt Applied to GMRES and Krylov-Schur Algorithms
Lanser, Martin	Machine Learning in adaptive domain decomposition methods-- predicting the geometric location of constraints
Le Maître, Olivier	Deflation and preconditioning strategies for sequences of sampled stochastic elliptic equations
Lecouvez, Matthieu	High Performance Domain Decomposition Method for 3D Electromagnetic simulations
Lensink, Keegan	A Multilevel Hyperbolic Neural Network for Image Segmentation.
Li, Ruipeng	Recent Development of Multigrid Solvers in HYPRE on Modern Heterogeneous Computing Platforms Expressing AMG Interpolation in Terms of Sparse Matrix-Matrix Multiplications
Li, Sherry	Leveraging One-Sided Communication for Sparse Triangular Solvers
Li, Ye	A Discrete-time Cancer Immunotherapy Model under the Kolmogorov Equation View and the Reaction-Diffusion Model
Li, Ying Wai	Multi-tasking deep learning models for predictions of total energy of solid solution alloys
Li, Yipeng	Overcoming Gibbs Phenomenon in Data Remap and Convection-Dominant PDEs using WLS-ENO Techniques
Lin, Junyuan	A Multilevel Subgraph Preconditioner for Linear Equations in Graph Laplacians
Lin, Lin	Quantum primitives and quantum linear algebra
Lin, Lin	Quantum linear system solver based on time-optimal adiabatic quantum computing and quantum approximate optimization algorithm Eigenstate filtering with application to quantum linear systems
Lin, Paul	Scalable Block Preconditioning of Implicit / IMEX FE Continuum Plasma Physics Models
Lin, Paul	Algebraic Multigrid Methods for Large-Scale Electromagnetic Particle-in-Cell Simulations
Lindstrom, Peter	Compressibility Constraints for Adaptive Rate ZFP Compression in Iterative Methods
Liu, Chang	Sparse trigonometric interpolation with applications to computational chemistry
Liu, Jin-Peng	High-precision quantum algorithms for partial differential equations
Liu, Ju	A solution strategy for fluid-structure interaction using the unified continuum formulation, quasi-direct coupling, and nested block preconditioning
Liu, Kelly	On the Convergence Rate of Variants of the Conjugate Gradient Algorithm in Finite Precision Arithmetic
Liu, Weifan	Parallel-in-time simulation of biofluids
Liu, Yang	Leveraging One-Sided Communication for Sparse Triangular Solvers
Locatelli, Leonardo	Iterative Image Reconstruction and Segmentation Using Mesh Adaptation
Loevbak, Emil	Multilevel Monte Carlo with improved correlation for kinetic equations in the diffusive scaling
Long, Alex	Data motion analysis for Implicit Monte Carlo on CPUs and GPUs
Long, Katharine	Block Preconditioning for Implicit Runge-Kutta Methods for Time-Dependent
Lopez, Florent	Asynchronous SGD for Training DNNs
Lukashevich, Aleksandr	Energy Function Approach to the Time-Varying Optimal Gas Flow
Lupo Pasini, Massimiliano	Multi-tasking deep learning models for predictions of total energy of solid solution alloys
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Mabuza, Sibu	Scalable Block Preconditioning of Implicit / IMEX FE Continuum Plasma Physics Models
MacLachlan, Scott	Coarse Grid Selection using Simulated Annealing Developing Work-Optimal Multilevel Methods Peclet-robust preconditioners for singularly perturbed convection-diffusion equations Monolithic Multigrid for a Stabilized Discretization of the Poroelastic Equations Optimizing MGRIT and Parareal coarse-grid operators for linear advection
Madden, Niall	Peclet-robust preconditioners for singularly perturbed convection-diffusion equations
Mani, Ali	A parallel multigrid technique for nonsymmetric elliptic systems with application to variable-density flows
Manteuffel, Thomas	Block preconditoning strategy for reduced magnetohydrodynamic (RMHD) equations
Marques, Osni	Unconstrained Energy Functional Methods for Massively Parallel Iterative Eigensolvers
Marsden, Alison	A solution strategy for fluid-structure interaction using the unified continuum formulation, quasi-direct coupling, and nested block preconditioning
Matalon, Pierre	An h-multigrid method for Hybrid High-Order discretizations
Mavriplis, Dimitri	Algebraic Multigrid for Highly Convective Flow Simulations Nonlinear and Linear Agglomeration Multigrid Methods for Reynolds-averaged Navier-Stokes Problems in Aerodynamics
Maximov, Yury	Energy Function Approach to the Time-Varying Optimal Gas Flow
Mazza, Mariarosa	Spectral-based fast solvers for finite volume discretizations of a conservative fractional diffusion problem
McClean, Jarrod	Variational quantum algorithms running on quantum supreme chips
McClelland, Matthew	Simulating Multi-Species Compressible Flow with a Fully-Implicit All-Speed Flow Solver
McCormick, Steve	Progressive three-precision multigrid solvers
McGregor, Duncan	A New Solver for Coupling Maxwell's Equations to Transmission Lines
Meek, Ashley	Block Preconditioning for Implicit Runge-Kutta Methods for Time-Dependent
Meier Yang, Ulrike	Improving Hypre's semi-structured support xSDK: Toward a Community Software Development Kit (SDK) for High-Performance Computational Science Recent Development of Multigrid Solvers in HYPRE on Modern Heterogeneous Computing Platforms Expressing AMG Interpolation in Terms of Sparse Matrix-Matrix Multiplications
Meng, Chang	Krylov Methods for Low-Rank Regularization
Miedlar, Agnieszka	A Rational Approximation Method for Large-Scale Nonlinear Eigenvalue Problems
Milestone, William	Block Preconditioning for Implicit Runge-Kutta Methods for Time-Dependent
Miller, Sean T.	Finite Element Tools for Performance Portability of Implicit and IMEX Simulations on Next Generation Architectures Scalable Block Preconditioning of Implicit / IMEX FE Continuum Plasma Physics Models Discretization of the Multi-fluid Plasma Model using IMEX and Mixed Continuous/Discontinuous FEM
Milz, Johannes	An Approximation Scheme For Distributionally Robust Nonlinear PDE-Constrained Optimization
Mitchell, Wayne	Algebraicly generated line relaxation for algebraic multigrid domain decomposition
Montoison, Alexis	BiLQ: An Iterative Method for Nonsymmetric Linear Systems with a Quasi-Minimum Error Property
Morgan, Ron	Singular Systems along with Eigenvalues and Singular Values
Morrow, Zack	Sparse trigonometric interpolation with applications to computational chemistry
Moulton, David	Robust Structured Multigrid on GPUs: Leveraging legacy kernels in the Cedar Framework
Muravleva, Ekaterina	Generative adversarial networks and iterative methods
Mycek, Paul	Deflation and preconditioning strategies for sequences of sampled stochastic elliptic equations
Myers, Jeremy	HiSVD: A Hybrid Incremental SVD Method for Streaming Large, Sparse Matrices
Möller, Matthias	Deflated p-multigrid solvers for Isogeometric Analysis
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Nadarajah, Siva	Smoothing by asynchronous iterations and sparse approximate inverses for fluid dynamics on graphics processing units
Nagy, James	Iterative Image Reconstruction and Segmentation Using Mesh Adaptation
Nagy, James	Krylov Methods for Low-Rank Regularization An Inner-Outer Iterative Method for Edge Preservation in Image Restoration and Reconstruction
Napp, John	Low-depth gradient measurements can improve convergence in variational hybrid quantum-classical algorithms
Newman, Christopher	An implicit approach to phase field modeling of solidification for metals and alloys
Newman, Elizabeth	Efficient Training of Neural Network Surrogate Methods with Variable Projection
Nhan, Thai	Peclet-robust preconditioners for singularly perturbed convection-diffusion equations
Niu, Chunyan	Nesterov Accelerated Multigrid Method
Nourgaliev, Robert	Regularized Non-linear Least-Squares Unconstrained Minimization Method for High-order Finite-Element Implicit Shock-Fitting in Space-Time Simulating Multi-Species Compressible Flow with a Fully-Implicit All-Speed Flow Solver
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Oh, Minah	Multigrid in H(div) on Axisymmetric Domains
Ohm, Peter	Monolithic Multigrid for a Stabilized Discretization of the Poroelastic Equations
Olshanskiy, Maxim	Recurrent use of AL preconditioner for fluid equations on manifolds.
Olson, Luke	Coarse Grid Selection using Simulated Annealing Developing Work-Optimal Multilevel Methods Robust Structured Multigrid on GPUs: Leveraging legacy kernels in the Cedar Framework
Ong, Benjamin	Randomized Iterative Methods for Low Rank Matrix Approximation
Onwunta, Akwum	An efficient solver for nonlinear Bayesian inverse problems
Orban, Dominique	BiLQ: An Iterative Method for Nonsymmetric Linear Systems with a Quasi-Minimum Error Property
Osborn, Sarah	xSDK: Toward a Community Software Development Kit (SDK) for High-Performance Computational Science
Osei-Kuffuor, Daniel	A Multigrid Reduction Framework for Flow in Porous and Fractured Media
Oseledets, Ivan	Optimizing parameters of iterative methods with stochastic optimization Generative adversarial networks and iterative methods
Ostrander, Aaron	Quantum algorithm for simulating the wave equation
Ostrander, Aaron	High-precision quantum algorithms for partial differential equations
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Paludetto Magri, Victor	Improving Hypre's semi-structured support
Park, Hyeongkae	Multimaterial, three temperature radiation-hydrodynamics solver for ICF applications A coupled thermal radiative transfer and kinetic plasma solver
Parno, Matthew	Analysis of the sensitivity of output wave height to input bottom friction and bathymetry in the coastal wave model STWAVE
Patel, Ravi G.	Towards Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint GMLS-Nets: a convolutional neural network architecture for unstructured point-cloud data
Pawlowski, Roger P.	Finite Element Tools for Performance Portability of Implicit and IMEX Simulations on Next Generation Architectures Scalable Block Preconditioning of Implicit / IMEX FE Continuum Plasma Physics Models Discretization of the Multi-fluid Plasma Model using IMEX and Mixed Continuous/Discontinuous FEM
Pazner, Will	Efficient low-order refined solvers for high-order matrix-free continuous and discontinuous Galerkin methods
Perego, Mauro	Towards Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint
Perego, Mauro	Initialization of the thermo-mechanical state of an ice sheet model using PDE-constrained optimization
Perotto, Simona	Iterative Image Reconstruction and Segmentation Using Mesh Adaptation
Peters, Bas	A Multilevel Hyperbolic Neural Network for Image Segmentation.
Petersen, Mark	A scalable semi-implicit barotropic mode solver for the MPAS-Ocean
Peterson, Kara	Meshless Remap of Native Fields for Earth System Models via Generalized Moving Least Squares Interface Flux Recovery Coupling Method for the Ocean-Atmosphere System
Phillips, Edward	Algebraic Multigrid Methods for Large-Scale Electromagnetic Particle-in-Cell Simulations Finite Element Tools for Performance Portability of Implicit and IMEX Simulations on Next Generation Architectures Scalable Block Preconditioning of Implicit / IMEX FE Continuum Plasma Physics Models A New Solver for Coupling Maxwell's Equations to Transmission Lines Discretization of the Multi-fluid Plasma Model using IMEX and Mixed Continuous/Discontinuous FEM
Phipps, Eric T.	Finite Element Tools for Performance Portability of Implicit and IMEX Simulations on Next Generation Architectures
Picucci, Jennifer	Hybrid Iterative Refined Methods for Symmetric Eigenvalue Problems
Pointon, Tim	A New Solver for Coupling Maxwell's Equations to Transmission Lines
Pé, Álvaro	A two level method for isogeometric discretizations
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Rajamanickam, Siva	Parallel spectral partitioning on multiple GPUs FROSch - A framework for parallel Schwarz preconditioners in Trilinos Multicolor Block Gauss-Seidel using Kokkos
Rana, Md Masud	Block Preconditioning for Implicit Runge-Kutta Methods for Time-Dependent
Rappaport, Ari	Scalable Block Preconditioning of Implicit / IMEX FE Continuum Plasma Physics Models
Rees, Tyrone	An element-based preconditioner for mixed finite element problems
Regev, Shaked	SSAI: A symmetric sparse approximate inverse preconditioner for the conjugate gradient methods PCG and PCGLS
Reich, Daniel	Analysis of the sensitivity of output wave height to input bottom friction and bathymetry in the coastal wave model STWAVE
Reisner, Andrew	Robust Structured Multigrid on GPUs: Leveraging legacy kernels in the Cedar Framework
Rheinbach, Oliver	FROSch - A framework for parallel Schwarz preconditioners in Trilinos
Riviere, Beatrice	p-Multigrid with Partial Smoothing: An Efficient Preconditioner for Discontinuous Galerkin Discretizations with Modal Bases
Roberts, Nathan V.	Finite Element Tools for Performance Portability of Implicit and IMEX Simulations on Next Generation Architectures
Rodrigo, Carmen	A Finite-Element Framework for a Mimetic Finite-Difference Discretization of Maxwell's Equations A two level method for isogeometric discretizations
Romero Alcalde, Eloy	Low-precision orthogonalization in eigensolvers
Rostami, Minghao	Parallel-in-time simulation of biofluids
Ruiz-Baier, Ricardo	New mixed methods for incompressible hyperelasticiy in terms of Kirchhoff stress
Runborg, Olof	WaveHoltz an Iterative Solver for the Helmholtz Equation via the Wave Equation. Part 1: Theoretical Aspects. WaveHoltz an Iterative Solver for the Helmholtz Equation via the Wave Equation. Part 2: Experiments, implementation and extensions.
Ruthotto, Lars	A Projected Newton-Krylov Method for Large-Scale Bound-Constrained Optimization Problems Layer-Parallel Training and Multilevel Initialization for Deep Residual Neural Networks Efficient Training of Neural Network Surrogate Methods with Variable Projection LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks
Rüde, Ulrich	An h-multigrid method for Hybrid High-Order discretizations
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Saad, Yousef	A Rational Approximation Method for Large-Scale Nonlinear Eigenvalue Problems
Salinger, Andrew	A scalable semi-implicit barotropic mode solver for the MPAS-Ocean
Samaey, Giovanni	Multilevel Monte Carlo with improved correlation for kinetic equations in the diffusive scaling
Sanders, Geoffrey	Mixed-Precision Arithmetic for Graph Clustering and Graph Ranking
Saunders, Michael	SSAI: A symmetric sparse approximate inverse preconditioner for the conjugate gradient methods PCG and PCGLS
Sawko, Robert	Generation of compressed stationary fields with circulant embedding
Schafelner, Andreas	Adaptive Space-Time CFOSLS for Evolution Equations
Schroder, Jacob	Layer-Parallel Training and Multilevel Initialization for Deep Residual Neural Networks
Serra-Capizzano, Stefano	Band-Toeplitz preconditioners for nonsymmetric ill-conditioned Toeplitz systems
Shadid, John N.	Finite Element Tools for Performance Portability of Implicit and IMEX Simulations on Next Generation Architectures Scalable implicit, adaptive MFEM-based solvers for reduced resistive MHD Scalable Block Preconditioning of Implicit / IMEX FE Continuum Plasma Physics Models
Sharma, Amil	Preconditioning a Fully Implicit Gyrokinetic Electromagnetic Particle-in-Cell Method
Shields, Sidney	Discretization of the Multi-fluid Plasma Model using IMEX and Mixed Continuous/Discontinuous FEM
Siefert, Christopher	MueLu's SA-AMG implementation and performance on GPUs Improving linear solver performance using machine learning Algebraic Multigrid for Highly Convective Flow Simulations
Simakov, Andrei	A moment-accelerated iterative implicit solver for the multispecies 1D-2V Vlasov-Fokker-Planck – Ampère kinetic equation
Simoncini, Valeria	A low-rank matrix equation method for solving PDE-constrained optimization problems
Sjogreen, Bjorn	Recent Development of Multigrid Solvers in HYPRE on Modern Heterogeneous Computing Platforms
Sjogreen, Bjorn	Expressing AMG Interpolation in Terms of Sparse Matrix-Matrix Multiplications
Sockwell, Chad	Interface Flux Recovery Coupling Method for the Ocean-Atmosphere System
Somma, Rolando	Quantum state verification in linear algebra problems
Sosonkina, Masha	Dynamic Non-Uniform Randomization in Asynchronous Linear Solvers
Southworth, Ben	Block preconditoning strategy for reduced magnetohydrodynamic (RMHD) equations Nonsymmetric block preconditioners and heterogeneous DSA, compatible with voids
Sprague, Michael	Incompressible Navier-Stokes with Two-Stage Gauss-Seidel Smoothers for FGMRES-AMG
Srivastava, Varsha	A System of Semilinear Singularly Perturbed Convection-Diffusion type
Stanier, Adam	An iterative particle-in-cell scheme for the hybrid plasma model using physics-based preconditioning
Stathopoulos, Andreas	Low-Rank Stopping Criteria for Block Parallel SVD HiSVD: A Hybrid Incremental SVD Method for Streaming Large, Sparse Matrices Low-precision orthogonalization in eigensolvers
Sterck, Hans De	Optimal Asymptotic Convergence Rates for Nesterov and Anderson Acceleration with Application to Tensor Decomposition
Stoll, Martin	A low-rank matrix equation method for solving PDE-constrained optimization problems
Stoyanov, Miroslav	Sparse trigonometric interpolation with applications to computational chemistry
Struthers, Allan	Randomized Iterative Methods for Low Rank Matrix Approximation
Stupfel, Bruno	High Performance Domain Decomposition Method for 3D Electromagnetic simulations
Sturdevant, Benjamin	Preconditioning a Fully Implicit Gyrokinetic Electromagnetic Particle-in-Cell Method
Su, Tengfei	A Low-Rank Solver for the Unsteady Navier-Stokes Equations
Su, Yuchen	Developing Work-Optimal Multilevel Methods
Subasi, Yigit	Quantum state verification in linear algebra problems
Sun, Xiaobai	INCISIVE DVF INVERSION VIA BI-RESIDUAL FEEDBACK
Sunderland, Daniel	Improving linear solver performance using machine learning
Sung, Li-Yeng	Additive Schwarz Preconditioners for a Localized Orthogonal Decomposition Method
Sunseri, Isaac	Hyper-Differential Sensitivity Analysis for Inverse Problems.
Swirydowicz, Kasia	One-Reduce FGMRES-AMG with Two-Stage Gauss-Seidel Smoothers on GPU
Swirydowicz, Kasia	Incompressible Navier-Stokes with Two-Stage Gauss-Seidel Smoothers for FGMRES-AMG
Swirydowicz, Katarzyna	Delayed Re-Orthogonalization to Achieve One-Synch Classical Gram-Schmidt Applied to GMRES and Krylov-Schur Algorithms
Szyld, Daniel	On appropriate coarse spaces for asynchronous Optimized Schwarz Method
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Taitano, William	A coupled thermal radiative transfer and kinetic plasma solver A moment-accelerated iterative implicit solver for the multispecies 1D-2V Vlasov-Fokker-Planck – Ampère kinetic equation
Tamstorf, Rasmus	Progressive three-precision multigrid solvers
Tang, Qi	Scalable implicit, adaptive MFEM-based solvers for reduced resistive MHD
Tang, Xian-Zhu	Scalable implicit, adaptive MFEM-based solvers for reduced resistive MHD
Tanner, Jared	Low-rank plus sparse matrices: ill-posedness and guaranteed recovery
Tchelepi, Hamdi	Multiscale preconditioning for coupled porous media flow and geomechanics on unstructured grids
Thiele, Christopher	p-Multigrid with Partial Smoothing: An Efficient Preconditioner for Discontinuous Galerkin Discretizations with Modal Bases
Thomas, Stephen	One-Reduce FGMRES-AMG with Two-Stage Gauss-Seidel Smoothers on GPU Incompressible Navier-Stokes with Two-Stage Gauss-Seidel Smoothers for FGMRES-AMG
Thomas, Stephen	Delayed Re-Orthogonalization to Achieve One-Synch Classical Gram-Schmidt Applied to GMRES and Krylov-Schur Algorithms
Tielen, Roel	Deflated p-multigrid solvers for Isogeometric Analysis
Till, Andrew	Iterative Methods for Thermal Radiation Transport with Multiple Preconditioners
Tomov, Stan	Asynchronous SGD for Training DNNs
Tong, Yu	Eigenstate filtering with application to quantum linear systems
Trask, Nathaniel	GMLS-Nets: a convolutional neural network architecture for unstructured point-cloud data
Trask, Nathaniel A.	Towards Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint
Treister, Eran	LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks
Treister, Eran	Exploiting Sparsity in the Estimation of Gaussian Mixture Models
Trott, Christian R.	Finite Element Tools for Performance Portability of Implicit and IMEX Simulations on Next Generation Architectures
Trotti, Ken	Spectral-based fast solvers for finite volume discretizations of a conservative fractional diffusion problem
Tuminaro, Raymond	Initialization of the thermo-mechanical state of an ice sheet model using PDE-constrained optimization Algebraic Multigrid for Highly Convective Flow Simulations A scalable semi-implicit barotropic mode solver for the MPAS-Ocean
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Ulbrich, Michael	An Approximation Scheme For Distributionally Robust Nonlinear PDE-Constrained Optimization
Ulbrich, Stefan	An ADMM-based time domain decomposition approach for PDE constrained optimization
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Van Beeumen, Roel	Unitary Matrix Decompositions for Quantum Circuit Synthesis
van Bloemen Waanders, Bart	Hyper-Differential Sensitivity Analysis for Inverse Problems. A Fast Solver for the Fractional Helmholtz Equation Efficient Training of Neural Network Surrogate Methods with Variable Projection
van Brummelen, E. Harald	A new quasi-Newton method for a black-box system with a physics-based surrogate
Vandewalle, Stefan	Multilevel Monte Carlo with improved correlation for kinetic equations in the diffusive scaling
Vary, Simon	Low-rank plus sparse matrices: ill-posedness and guaranteed recovery
Vassilevski, Panayt	Condensed Nonconforming Reformulations for Preconditioning Finite Element Discretization Problems Adaptive Space-Time CFOSLS for Evolution Equations
Venkovic, Nicolas	Deflation and preconditioning strategies for sequences of sampled stochastic elliptic equations
Verma, Deepanshu	Fractional Optimal Control Problems with State Constraints: Algorithm and Analysis
Vuik, Cornelis	Deflated p-multigrid solvers for Isogeometric Analysis
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Wang, Chunmei	Primal-Dual Weak Galerkin Finite Element Methods for First-Order Transport Problems
Wang, Xuebin	Overcoming Gibbs Phenomenon in Data Remap and Convection-Dominant PDEs using WLS-ENO Techniques
Warsa, Jim	Iterative Methods for Thermal Radiation Transport with Multiple Preconditioners
Wathen, Andy	Band-Toeplitz preconditioners for nonsymmetric ill-conditioned Toeplitz systems
Wathen, Michael	An element-based preconditioner for mixed finite element problems
Weber, Janine	Machine Learning in adaptive domain decomposition methods-- predicting the geometric location of constraints
Weiss, Chester	A Fast Solver for the Fractional Helmholtz Equation
West, Matthew	Coarse Grid Selection using Simulated Annealing Developing Work-Optimal Multilevel Methods
Weston, Brian	Simulating Multi-Species Compressible Flow with a Fully-Implicit All-Speed Flow Solver
Westphal, Chad	An Adaptive Newton Div-Curl Least-Squares Finite Element Method for the Cahn-Hilliard Equation
White, Joshua	A Multigrid Reduction Framework for Flow in Porous and Fractured Media
White, Joshua	Preconditioning for a Stabilized Mixed-Hybrid Formulation of Biot’s Poroelasticity Equations
Wild, Stefan	CALIBRATING SENSING DRIFT IN TOMOGRAPHIC INVERSION
Williams, Samuel	Leveraging One-Sided Communication for Sparse Triangular Solvers
Wopschall, Steven	Regularized Non-linear Least-Squares Unconstrained Minimization Method for High-order Finite-Element Implicit Shock-Fitting in Space-Time
Wu, Kaiyi	Computing a posteriori error estimates for algebraic multigrid methods on graphs
Wu, Shuonan	On the robust discretization and fast solver for the H(curl) and H(div) convection-diffusion problems
Wu Fung, Samy	A Projected Newton-Krylov Method for Large-Scale Bound-Constrained Optimization Problems
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Xi, Yuanzhe	Computing Generalized Matrix Functions with Singular Value Estimation
Xia, Jianlin	Preconditioners based on enhanced structured incomplete factorization (eSIF) for general SPD matrices
Xu, Jinchao	On the robust discretization and fast solver for the H(curl) and H(div) convection-diffusion problems
Xu, Jinchao	Multigrid Methods and Convolutional Neural Network
Xu, Shengjie	A single-pole rational Krylov subspace method for approximating Markov functions of matrices
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Yamazaki, Ichitaro	One-Reduce FGMRES-AMG with Two-Stage Gauss-Seidel Smoothers on GPU
Yang, Chao	Quantum Computing From a Linear Algebra Perspective
Yang, Lucia	Mixed-Precision Arithmetic for Graph Clustering and Graph Ranking
Yin, Junqi	Multi-tasking deep learning models for predictions of total energy of solid solution alloys
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Zaman, Tareq Uz	Coarse Grid Selection using Simulated Annealing
Zhang, Jiaxin	Multi-tasking deep learning models for predictions of total energy of solid solution alloys
Zhiliakov, Alexander	Recurrent use of AL preconditioner for fluid equations on manifolds.
Zikatanov, Ludmil	A Finite-Element Framework for a Mimetic Finite-Difference Discretization of Maxwell's Equations Computing a posteriori error estimates for algebraic multigrid methods on graphs
Zimon, Malgorzata	Generation of compressed stationary fields with circulant embedding

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