CM2024: 18TH COPPER MOUNTAIN CONFERENCE ON ITERATIVE METHODS

A
Adak, Dibyendu	Tensor Networks Space-Time Spectral Method for Solving the Heat Equation
Adams, Mark	A finite-grid stable implicit particle-in-cell algorithm for gyrokinetic electromagnetic simulations of magnetized plasmas
Adler, James	A new decoupled solution method for a novel oscillation-free numerical scheme for Biot's model Improving Greedy Algorithms for Rational Approximation Physics-informed augmentations to nonlinear vector autoregressive models for the prediction of dynamical systems
Ainsworth, Mark	Computing H2-conforming finite element approximations without having to implement C1-elements
Alexandrov, Boian S	Tensor Networks Space-Time Spectral Method for Solving the Heat Equation Tensor Networks for Solving the Time-Independent Boltzmann Neutron Transport Equation
Ali, Ahsan	Generalized Optimal AMG Convergence Theory for Nonsymmetric and Indefinite Problems
Anderson, Steven	A multiscale hybrid particle-Maxwellian Coulomb-Collision Algorithm for Hybrid Kinetic-Fluid Simulations
Angus, Justin	An implicit particle code with exact energy and charge conservation for dynamically compressing plasmas: Solver scaling and performance
Anistratov, Dmitriy	Stability Analysis of Two-Level Nonlinear Acceleration Method for the Linear Boltzmann Transport Equation
Appelo, Daniel	Implicit time and rank adaptive method for time-dependent PDEs
Arrarás, Andrés	Space-time parallel iterative solvers for the integration of parabolic problems
Atkins, Zachary	Recent Developments in Asynchronous Linear Solvers for Computing at the Very Edge
B
Baraldi, Robert	Efficient Subproblem Solves for Convergent Neural Network Training Training Neural Networks with PyRol: Algorithms and Examples
Bergen, Ben	FleCSI: A Task-Based Framework for HPC
Biros, George	Solving 1D-space collisional electron-Boltzamnn transport equation
Bochev, Pavel	Surrogate-based partitioned methods for interface problems Partitioned Scheme for Coupling Heterogenous Numerical Methods, Including Reduced Order Models, Over Nonoverlapping Interfaces An optimization-based approach for coupling projection-based reduced order models
Bolten, Matthias	Block Smoothers for Algebraic Multigrid
Bonilla, Jesus	Scalable multiphysics block preconditioning of a fully-implicit VMS visco-resistive MHD formulation with application to Magnetic Confinement Fusion A block preconditioner for resistive MHD simulations
Bozart, Christopher	Redundant equation methods for stiff wave motions
Brannick, James J.	Generalized Optimal AMG Convergence Theory for Nonsymmetric and Indefinite Problems Block Smoothers for Algebraic Multigrid
Brarda, Francesco	Efficient Hybrid Spatial-Temporal Operator Learning
Brown, Ariana N.	Regularizing properties of inner-product free Krylov methods for inverse problems H-LSLU: An Inner Product Free Hybrid Krylov Method for Rectangular Large-Scale Inverse Problems
Brown, Jed	Performance-portable p-multigrid block preconditioning for mixed FE discretizations of nearly incompressible hyperelasticity
Brubeck, Pablo	Fast High-Order Finite Element Solvers on Simplices
Brunke, Michael	Existence and uniqueness analysis of an atmosphere-ocean surface exchange algorithm with applications to global climate models
Brust, Johannes	Structured Sketching for Linear Systems
Buser, Elle	Efficient Krylov subspace methods for large-scale hierarchical Bayesian inverse problems
Buvoli, Tommaso	Nonlinearly partitioned time integration for multiphysics
C
Cai, Xiao-Chuan	Parallel Space-time Implicit Runge-Kutta Methods and Tensor-structure-preserving Schwarz Preconditioning for Parabolic Problems Stagnation-shortening inexact Newton method based on unsupervised learning for highly nonlinear hyperelasticity problems on three-dimensional unstructured meshes
Cai, Zhiqiang	A Damped Block Gauss-Newton Method for Shallow ReLU Neural Network Fast iterative solver for neural network method: 1D diffusion problems Fast iterative solver for neural network method: 1D general elliptic problems and data fitting
Cao, Shuhao	Efficient Hybrid Spatial-Temporal Operator Learning
Chacon, Luis	A finite-grid stable implicit particle-in-cell algorithm for gyrokinetic electromagnetic simulations of magnetized plasmas A multiscale hybrid particle-Maxwellian Coulomb-Collision Algorithm for Hybrid Kinetic-Fluid Simulations Low Rank Krylov-based Implicit Time Integrators for Nonlinear Fokker-Planck Kinetic Models
Chang, Choong-Seock	A finite-grid stable implicit particle-in-cell algorithm for gyrokinetic electromagnetic simulations of magnetized plasmas
Chaplin, Christopher	Redundant equation methods for stiff wave motions
Chen, Guangye	A multiscale hybrid particle-Maxwellian Coulomb-Collision Algorithm for Hybrid Kinetic-Fluid Simulations
Chen, Joe P. J.	Iterative Projection Algorithms for Resolving Conformation Disorder in Diffuse X-ray Scattering
Chen, Long	Transformed primal-dual methods with variable-preconditioners for nonlinear partial differential equations
Chen, Yizhou	Mixed Precision Iterative Refinement for Structured Inverse Problems
Cheng, Yingda	Implicit time and rank adaptive method for time-dependent PDEs
Cheung, Siu Wun	Recent Developments in Asynchronous Linear Solvers for Computing at the Very Edge
Chow, Edmond	Block Krylov subspace methods for many Hermitian systems with complex shifts Tutorial on Machine Learning
Chung, Julianne	Efficient Krylov subspace methods for large-scale hierarchical Bayesian inverse problems
Chung, Julianne	H-LSLU: An Inner Product Free Hybrid Krylov Method for Rectangular Large-Scale Inverse Problems
Claus, Lisa	Block Smoothers for Algebraic Multigrid
Coale, Joseph	Decoupled Diffusion Synthetic Acceleration for Deterministic Neutral Particle Transport
Colella, Phillip	Redundant equation methods for stiff wave motions
Crockatt, Michael	Scalable multiphysics block preconditioning of a fully-implicit VMS visco-resistive MHD formulation with application to Magnetic Confinement Fusion A block preconditioner for resistive MHD simulations
Cyr, Eric	Progress in Layer-Parallel Neural Networks Training and Inference
D
Davis, Owen	Deep learning without global optimization by random Fourier features
De, Saibal	Efficient incremental Tucker decomposition for streaming scientific data
de Castro, Amy	Partitioned Scheme for Coupling Heterogenous Numerical Methods, Including Reduced Order Models, Over Nonoverlapping Interfaces
De Sterck, Hans	Multigrid parallel-in-time for hyperbolic PDEs: nonlinear equations and systems
De Sterck, Hans	On the asymptotic convergence of Anderson acceleration for certain linear problems
de Sturler, Eric	HAM: Hierarchical approximate maps for updating preconditioners
Dektor, Alec	A dynamical low-rank collocation method for nonlinear tensor differential equations
Delchini, Marco	Jacobian matrix construction for fluid flow problems on GPUs using automatic differentiation
Dereventsov, Anton	Smoothing Gradient Descent (SmoothGD)
Ding, Tong	A Damped Block Gauss-Newton Method for Shallow ReLU Neural Network
Djibrilla Boureima, Ismael	Tensor Networks for Solving the Time-Independent Boltzmann Neutron Transport Equation
Doktorova, Anastassia	Fast iterative solver for neural network method: 1D diffusion problems Fast iterative solver for neural network method: 1D general elliptic problems and data fitting
Donatelli, Jeffrey J.	Iterative Projection Algorithms for Resolving Conformation Disorder in Diffuse X-ray Scattering Accelerating model-based iterative reconstructions via Non-Uniform Fast Fourier Transforms and GPUs A Multi-Tiered Iterative Algorithm for Determining the Rotational Diffusion of Particle Systems from the Temporal-Angular Cross-Correlation of Their Power Spectrum
Dong, Justin	Existence and uniqueness analysis of an atmosphere-ocean surface exchange algorithm with applications to global climate models
Dorf, Mikhail	Solvers and preconditioners enabling flexible IMEX integration of fusion plasmas in COGENT*
Dorr, Milo	Solvers and preconditioners enabling flexible IMEX integration of fusion plasmas in COGENT*
Doscher, David	Adaptive CSR Krylov Solvers on GPU
Draganescu, Andrei	Low-rank Gradient Flow – a First Order Algorithm for Non-convex Optimization
Dunlavy, Danny	Constrained Tensor Decomposition for Low-rank Modeling of Multiphysics Simulation Data
E
Einkemmer, Lukas	Higher order and implicit dynamical low-rank algorithms
El Kahza, Hamad	Low Rank Krylov-based Implicit Time Integrators for Nonlinear Fokker-Planck Kinetic Models
Embree, Mark	Polynomial Approximation of the inverse of a Matrix with Application to Linear Equations with Multiple Right-hand Sides
Erlandson, Lucas	Recent Developments in Asynchronous Linear Solvers for Computing at the Very Edge
Erwin, Taylor	Jacobian matrix construction for fluid flow problems on GPUs using automatic differentiation
Espanol, Malena	GCV-based iterative methods for l1-Regularized Inverse Problems
F
Fairbanks, Hillary	Improving Multilevel Monte Carlo Scaling with Level-Dependent Redistribution Accelerating Multi-Level Markov Chain Monte Carlo Methods Using Machine Learning Models
Falgout, Robert	Fast iterative solver for neural network method: 1D diffusion problems Fast iterative solver for neural network method: 1D general elliptic problems and data fitting Multigrid parallel-in-time for hyperbolic PDEs: nonlinear equations and systems Toward an algebraic multigrid method for the indefinite Helmholtz equation Improved Coarse-Grid Operators for Multigrid Reduction in Time solutions to the Linear Advection Equation An Absolutely Convergent Parallel-in-Time Relaxation Method for Chaotic Problems Block Smoothers for Algebraic Multigrid Semi-structured algebraic multigrid (SSAMG)
Farmer, William	An implicit particle code with exact energy and charge conservation for dynamically compressing plasmas: Solver scaling and performance
Farrell, Patrick	Fast High-Order Finite Element Solvers on Simplices
Feng, Xue	Convergence Analysis of Alternating Anderson-Picard Method for nonlinear fixed-point Problem
Fernando, Milinda	Solving 1D-space collisional electron-Boltzamnn transport equation
Fischer, Paul	Fast coarse grid solvers for the solution of exascale Poisson equations
Fornace, Mark	Rank reduction of graph Laplacians via column selection
Fox, Alyson	Recent Developments in Asynchronous Linear Solvers for Computing at the Very Edge
Friedman, Alex	An implicit particle code with exact energy and charge conservation for dynamically compressing plasmas: Solver scaling and performance
G
Gao, Longfei	Half precision wave simulation
Gaspar, Francisco J.	Space-time parallel iterative solvers for the integration of parabolic problems A new decoupled solution method for a novel oscillation-free numerical scheme for Biot's model
Geraci, Gianluca	Deep learning without global optimization by random Fourier features
Geyko, Vasily	An implicit particle code with exact energy and charge conservation for dynamically compressing plasmas: Solver scaling and performance
Ghosh, Debojyoti	An implicit particle code with exact energy and charge conservation for dynamically compressing plasmas: Solver scaling and performance Solvers and preconditioners enabling flexible IMEX integration of fusion plasmas in COGENT*
Ghysels, Pieter	Construction of Hierarchically Semi-Separable Matrix Representation using Adaptive Sparse Johnson-Lindenstrauss Sketching Efficient Solution for Fully Implicit Runge-Kutta Methods for Time-dependent Hyperbolic PDEs
Glusa, Christian	Training Neural Networks with PyRol: Algorithms and Examples
Gong, Yujie	Stagnation-shortening inexact Newton method based on unsupervised learning for highly nonlinear hyperelasticity problems on three-dimensional unstructured meshes
Goren, Matan	Physics-guided Full Waveform Inversion using Encoder-Solver Convolutional Neural Networks
Grindeanu, Iulian	Topology-aware Coupler for Energy Exascale Earth System Model
Grote, Dave	An implicit particle code with exact energy and charge conservation for dynamically compressing plasmas: Solver scaling and performance
Gryazin, Yury	Parallel Compact High-Resolution GMRES-PFFT-Type Algorithms for 3D Stochastic Subsurface Scattering Problems.
Guo, Ruchi	Transformed primal-dual methods with variable-preconditioners for nonlinear partial differential equations
Günther, Stefanie	An Absolutely Convergent Parallel-in-Time Relaxation Method for Chaotic Problems
H
Hager, Robert	A finite-grid stable implicit particle-in-cell algorithm for gyrokinetic electromagnetic simulations of magnetized plasmas
Hahne, Jens	Progress in Layer-Parallel Neural Networks Training and Inference
Hamilton, Steven	Jacobian matrix construction for fluid flow problems on GPUs using automatic differentiation
Hanin, Leonid	Parallel Compact High-Resolution GMRES-PFFT-Type Algorithms for 3D Stochastic Subsurface Scattering Problems.
Harper, Graham	Structure Optimization and Compression Methods for Finite Element Operators
Haut, Terry	A New Dynamic Low Rank Method for Thermal Radiative Transfer
Hawkins, Elizabeth	An optimization-based approach for coupling projection-based reduced order models
Hayes, Daniel	Data-parallel tensor decomposition algorithms in the tensor-train format
He, Yunhui	Some theoretical results on finite convergence property and temporary stalling behavior of Anderson acceleration on linear systems
Heinlein, Alexander	Graph Neural Network to Predict Coarse Space Functions for Two-level Domain Decomposition Methods
Henningsen, Joel	Polynomial Approximation of the inverse of a Matrix with Application to Linear Equations with Multiple Right-hand Sides
Henson, Hayden	Polynomial Preconditioning for Solving Linear Equations with Indefinite Matrices
Herrera, Cesar	Fast iterative solver for neural network method: 1D diffusion problems Fast iterative solver for neural network method: 1D general elliptic problems and data fitting
Hocking, Samuel	Physics-informed augmentations to nonlinear vector autoregressive models for the prediction of dynamical systems
Howle, Victoria	Efficient Solution for Fully Implicit Runge-Kutta Methods for Time-dependent Hyperbolic PDEs
Hu, Jonathan	Scalable multiphysics block preconditioning of a fully-implicit VMS visco-resistive MHD formulation with application to Magnetic Confinement Fusion A block preconditioner for resistive MHD simulations
Hu, Xiaozhe	A new decoupled solution method for a novel oscillation-free numerical scheme for Biot's model Improving Greedy Algorithms for Rational Approximation Physics-informed augmentations to nonlinear vector autoregressive models for the prediction of dynamical systems New Developments in the AMLI-cycle Method
Hu, Zixi	Iterative Projection Algorithms for Resolving Conformation Disorder in Diffuse X-ray Scattering A Multi-Tiered Iterative Algorithm for Determining the Rotational Diffusion of Particle Systems from the Temporal-Angular Cross-Correlation of Their Power Spectrum
J
Jackaman, James	Waveform relaxation multigrid for Navier-Stokes
Jacob, Robert	Topology-aware Coupler for Energy Exascale Earth System Model
Javeed, Aurya	Efficient Subproblem Solves for Convergent Neural Network Training Training Neural Networks with PyRol: Algorithms and Examples
Jimenez-Ciga, Iñigo	Space-time parallel iterative solvers for the integration of parabolic problems
K
Kahana, Adar	Large scale Scattering using the HINTS
Kahl, Karsten	Generalized Optimal AMG Convergence Theory for Nonsymmetric and Indefinite Problems
Kalchev, Delyan	Improving Multilevel Monte Carlo Scaling with Level-Dependent Redistribution
Karniadakis, George	Large scale Scattering using the HINTS
Kaushagen, John	An energy minimization approach to H-curl AMG
Kazashi, Yoshihito	Multigrid Monte Carlo revisited: fast sampling of Gaussian Random Fields
Kelley, Tim	Newton's Method in Three Precisions
Kilmer, Misha	Tensor Completion with BMD Factor Nuclear Norm Minimization
Kirby, Robert	Fast High-Order Finite Element Solvers on Simplices
Kirian, Richard A.	Iterative Projection Algorithms for Resolving Conformation Disorder in Diffuse X-ray Scattering
Koestler, Harald	Evolving Algebraic Multigrid Methods Using Grammar-Guided Genetic Programming
Kolev, Tzanio	A Newton-based Grad-Shafranov solver for tokamak equilibrium
Kolla, Hemanth	Constrained Tensor Decomposition for Low-rank Modeling of Multiphysics Simulation Data Efficient incremental Tucker decomposition for streaming scientific data
Kouri, Drew	Efficient Subproblem Solves for Convergent Neural Network Training Training Neural Networks with PyRol: Algorithms and Examples
Krzysik, Oliver	On the asymptotic convergence of Anderson acceleration for certain linear problems Multigrid parallel-in-time for hyperbolic PDEs: nonlinear equations and systems Generalized Optimal AMG Convergence Theory for Nonsymmetric and Indefinite Problems
Ku, Seung-Hoe	A finite-grid stable implicit particle-in-cell algorithm for gyrokinetic electromagnetic simulations of magnetized plasmas
Kuberry, Paul	Surrogate-based partitioned methods for interface problems Partitioned Scheme for Coupling Heterogenous Numerical Methods, Including Reduced Order Models, Over Nonoverlapping Interfaces An optimization-based approach for coupling projection-based reduced order models
Kumar, Dinesh	Accelerating model-based iterative reconstructions via Non-Uniform Fast Fourier Transforms and GPUs
L
Laiu, Paul	Convergence Analysis of Alternating Anderson-Picard Method for nonlinear fixed-point Problem
Lan, Yu-Hsiang	Low-order Preconditioner for Steady State Advection Diffusion Equation Under Spectral Element Discretization
Larson, David	An implicit particle code with exact energy and charge conservation for dynamically compressing plasmas: Solver scaling and performance
Lecouvez, Matthieu	Toward an algebraic multigrid method for the indefinite Helmholtz equation
Lee, Chak Shing	Improving Multilevel Monte Carlo Scaling with Level-Dependent Redistribution
Li, Rui Peng	Efficient Hybrid Spatial-Temporal Operator Learning
Li, Shishun	Parallel Space-time Implicit Runge-Kutta Methods and Tensor-structure-preserving Schwarz Preconditioning for Parabolic Problems
Li, Xiaoye	Construction of Hierarchically Semi-Separable Matrix Representation using Adaptive Sparse Johnson-Lindenstrauss Sketching
Liegeois, Kim	Training Neural Networks with PyRol: Algorithms and Examples
Lindsey, Michael	Rank reduction of graph Laplacians via column selection
Lindsey, Michael	Direct interpolative construction of quantized tensor trains
Link, Anthony	An implicit particle code with exact energy and charge conservation for dynamically compressing plasmas: Solver scaling and performance
Lipnikov, Konstantin	A Newton-based Grad-Shafranov solver for tokamak equilibrium
Liu, Min	A Damped Block Gauss-Newton Method for Shallow ReLU Neural Network
Liu, Xinyu	A Damped Block Gauss-Newton Method for Shallow ReLU Neural Network
Liu, Yang	Fast iterative solvers in tensor butterfly format
Lockhart, Shelby	Adaptive CSR Krylov Solvers on GPU
Long, Katharine	Efficient Solution for Fully Implicit Runge-Kutta Methods for Time-dependent Hyperbolic PDEs
Luo, Li	Stagnation-shortening inexact Newton method based on unsupervised learning for highly nonlinear hyperelasticity problems on three-dimensional unstructured meshes
M
MacLachlan, Scott	Achieving h- and p-robust monolithic multigrid solvers for saddle-point systems Learning optimal iterative methods Waveform relaxation multigrid for Navier-Stokes
Magri, Victor	Semi-structured algebraic multigrid (SSAMG)
Mahadevan, Vijay	Topology-aware Coupler for Energy Exascale Earth System Model
Malik, Osman Asif	Construction of Hierarchically Semi-Separable Matrix Representation using Adaptive Sparse Johnson-Lindenstrauss Sketching
Manzini, Gianmarco	Tensor Networks Space-Time Spectral Method for Solving the Heat Equation Tensor Networks for Solving the Time-Independent Boltzmann Neutron Transport Equation
Martinsson, Per-Gunnar	Fast Randomized Algorithms for Rank-Structured Matrices
McClarren, Ryan	A Data Driven, Eigenvalue Based Adaptive Time Stepping Method for Nonlinear Physics Simulation
Menickelly, Matt	Stochastic Average Model Methods
Miedlar, Agnieszka	Recent Developments in Asynchronous Linear Solvers for Computing at the Very Edge On the Convergence of CROP-Anderson Acceleration Method
Miller, Eric	Tensor Completion with BMD Factor Nuclear Norm Minimization
Mishra, Sambit	Online Bayesian Optimization of Polynomial-Multigrid Cycles for Flux Reconstruction
Mitchell, Wayne B.	Evolving Algebraic Multigrid Methods Using Grammar-Guided Genetic Programming Semi-structured algebraic multigrid (SSAMG)
Moore, Nicholas	Progress in Layer-Parallel Neural Networks Training and Inference
Morgan, Joanna Piper	Dynamic and Deterministic Neutron Transport on GPUs using One-cell Inversion
Morgan, Ron	Polynomial Approximation of the inverse of a Matrix with Application to Linear Equations with Multiple Right-hand Sides Polynomial Preconditioning for Solving Linear Equations with Indefinite Matrices
Motamed, Mohammad	Deep learning without global optimization by random Fourier features
Mueller, Eike	Multigrid Monte Carlo revisited: fast sampling of Gaussian Random Fields
N
Nagy, James G.	Regularizing properties of inner-product free Krylov methods for inverse problems Mixed Precision Iterative Refinement for Structured Inverse Problems Effective Approximate Preconditioners for Linear Inverse Problems H-LSLU: An Inner Product Free Hybrid Krylov Method for Rectangular Large-Scale Inverse Problems
Nakajima, Kengo	Communication-Computation Overlapping for Parallel Multigrid Methods
Nelson, Austen	Adaptive Composite AMG Solvers Utilizing Graph Modularity Coarsening
Niemeyer, Kyle	Dynamic and Deterministic Neutron Transport on GPUs using One-cell Inversion
Nytko, Nicolas	Learning optimal iterative methods
O
Ohm, Peter	Scalable multiphysics block preconditioning of a fully-implicit VMS visco-resistive MHD formulation with application to Magnetic Confinement Fusion A block preconditioner for resistive MHD simulations
Olivier, Sam	Nonlinearly partitioned time integration for multiphysics
Olshanskii, Maxim	A tensor POD-ROM for parameter dependent dynamical systems
Olson, Luke	Learning optimal iterative methods Fast coarse grid solvers for the solution of exascale Poisson equations
Ong, Benjamin	An Iterative Rank-Revealing Randomized Algorithm Improved Coarse-Grid Operators for Multigrid Reduction in Time solutions to the Linear Advection Equation
Onisk, Lucas	Effective Approximate Preconditioners for Linear Inverse Problems
Ortega, Mario	Tensor Networks for Solving the Time-Independent Boltzmann Neutron Transport Equation
Outrata, Michal	HAM: Hierarchical approximate maps for updating preconditioners
Owen, Justin	Surrogate-based partitioned methods for interface problems
P
Palmer, Todd	Dynamic and Deterministic Neutron Transport on GPUs using One-cell Inversion
Pande, Kanupriya	Iterative Projection Algorithms for Resolving Conformation Disorder in Diffuse X-ray Scattering
Park, Hyeongkae	Nonlinearly partitioned time integration for multiphysics
Parker, Charles	Computing H2-conforming finite element approximations without having to implement C1-elements
Parkinson, Dilworth	Accelerating model-based iterative reconstructions via Non-Uniform Fast Fourier Transforms and GPUs
Parpas, Panos	A Multilevel Method for Self-Concordant Minimization
Parthasarathy, Dinesh	Evolving Algebraic Multigrid Methods Using Grammar-Guided Genetic Programming
Pasha, Mirjeta	Tensor Completion with BMD Factor Nuclear Norm Minimization
Pathak, Jay	Large scale Scattering using the HINTS
Patra, Abani	Tensor Completion with BMD Factor Nuclear Norm Minimization
Pawlowski, Roger	Jacobian matrix construction for fluid flow problems on GPUs using automatic differentiation Scalable multiphysics block preconditioning of a fully-implicit VMS visco-resistive MHD formulation with application to Magnetic Confinement Fusion
Philip, Bobby	A multiscale hybrid particle-Maxwellian Coulomb-Collision Algorithm for Hybrid Kinetic-Fluid Simulations
Phillips, Edward	Scalable multiphysics block preconditioning of a fully-implicit VMS visco-resistive MHD formulation with application to Magnetic Confinement Fusion
Phillips, Edward	Constrained Tensor Decomposition for Low-rank Modeling of Multiphysics Simulation Data A block preconditioner for resistive MHD simulations
Phipps, Eric	Constrained Tensor Decomposition for Low-rank Modeling of Multiphysics Simulation Data Efficient incremental Tucker decomposition for streaming scientific data
Ponce, Colin	Recent Developments in Asynchronous Linear Solvers for Computing at the Very Edge
Portero, Laura	Space-time parallel iterative solvers for the integration of parabolic problems
Pé de la Riva, Álvaro	A new decoupled solution method for a novel oscillation-free numerical scheme for Biot's model
Q
Qian, Elizabeth	Faster solution of linear Bayesian smoothing problems using model reduction for ensemble Kalman inversion
Qiu, Jingmei	Data-parallel tensor decomposition algorithms in the tensor-train format Low Rank Krylov-based Implicit Time Integrators for Nonlinear Fokker-Planck Kinetic Models
R
Rafiei, Amin	Achieving h- and p-robust monolithic multigrid solvers for saddle-point systems
Rajamanickam, Sivasankaran	Graph Neural Network to Predict Coarse Space Functions for Two-level Domain Decomposition Methods
Ramet, Pierre	Toward an algebraic multigrid method for the indefinite Helmholtz equation
Ranade, Rishikesh	Large scale Scattering using the HINTS
Rani, Aman	Efficient Solution for Fully Implicit Runge-Kutta Methods for Time-dependent Hyperbolic PDEs
Rasmussen, Kim O	Tensor Networks Space-Time Spectral Method for Solving the Heat Equation Tensor Networks for Solving the Time-Independent Boltzmann Neutron Transport Equation
Ratnayaka, Thilina	Fast coarse grid solvers for the solution of exascale Poisson equations
Reddy, Sohail	Accelerating Multi-Level Markov Chain Monte Carlo Methods Using Machine Learning Models
Renaut, Rosemary	GCV-based iterative methods for l1-Regularized Inverse Problems
Reuter, Bryan	Jacobian matrix construction for fluid flow problems on GPUs using automatic differentiation
Richefort, Clément	Toward an algebraic multigrid method for the indefinite Helmholtz equation
Ricketson, Lee	Solvers and preconditioners enabling flexible IMEX integration of fusion plasmas in COGENT*
Ridzal, Denis	Structure Optimization and Compression Methods for Finite Element Operators
Robey, Bob	Adaptive CSR Krylov Solvers on GPU
Rodrigo, Carmen	A new decoupled solution method for a novel oscillation-free numerical scheme for Biot's model
S
Sabaté Landman, Malena	H-LSLU: An Inner Product Free Hybrid Krylov Method for Rectangular Large-Scale Inverse Problems
Sabaté Landman, Malena	Regularizing properties of inner-product free Krylov methods for inverse problems
Scheichl, Robert	Multigrid Monte Carlo revisited: fast sampling of Gaussian Random Fields
Schroder, Jacob	Progress in Layer-Parallel Neural Networks Training and Inference Multigrid parallel-in-time for hyperbolic PDEs: nonlinear equations and systems An Absolutely Convergent Parallel-in-Time Relaxation Method for Chaotic Problems Generalized Optimal AMG Convergence Theory for Nonsymmetric and Indefinite Problems
Serino, Dan	A Newton-based Grad-Shafranov solver for tokamak equilibrium
Sethian, James	A Multi-Tiered Iterative Algorithm for Determining the Rotational Diffusion of Particle Systems from the Temporal-Angular Cross-Correlation of Their Power Spectrum
Shadid, John	Constrained Tensor Decomposition for Low-rank Modeling of Multiphysics Simulation Data Scalable multiphysics block preconditioning of a fully-implicit VMS visco-resistive MHD formulation with application to Magnetic Confinement Fusion A block preconditioner for resistive MHD simulations
Shah, Shikhar	Block Krylov subspace methods for many Hermitian systems with complex shifts
Shakeri, Rezgar	Performance-portable p-multigrid block preconditioning for mixed FE discretizations of nearly incompressible hyperelasticity
Shen, Taoli	Block Smoothers for Algebraic Multigrid
Shi, Tianyi	Data-parallel tensor decomposition algorithms in the tensor-train format
Slattery, Stuart	Jacobian matrix construction for fluid flow problems on GPUs using automatic differentiation
Smith, Adam	On the asymptotic convergence of Anderson acceleration for certain linear problems
Smith, Ethan	A Data Driven, Eigenvalue Based Adaptive Time Stepping Method for Nonlinear Physics Simulation
Southworth, Ben S	Progress in Layer-Parallel Neural Networks Training and Inference Nonlinearly partitioned time integration for multiphysics Generalized Optimal AMG Convergence Theory for Nonsymmetric and Indefinite Problems
Stanier, Adam	A multiscale hybrid particle-Maxwellian Coulomb-Collision Algorithm for Hybrid Kinetic-Fluid Simulations
Starnes, Andrew	Smoothing Gradient Descent (SmoothGD)
Stavrinides, Pavlos	Faster solution of linear Bayesian smoothing problems using model reduction for ensemble Kalman inversion
Strohmer, Thomas	Convergence Analysis of Alternating Anderson-Picard Method for nonlinear fixed-point Problem
Struthers, Allan	An Iterative Rank-Revealing Randomized Algorithm
Sturdevant, Benjamin	A finite-grid stable implicit particle-in-cell algorithm for gyrokinetic electromagnetic simulations of magnetized plasmas
Sweeney, Brian	GCV-based iterative methods for l1-Regularized Inverse Problems
T
Taitano, William	Low Rank Krylov-based Implicit Time Integrators for Nonlinear Fokker-Planck Kinetic Models
Tang, Qi	A Newton-based Grad-Shafranov solver for tokamak equilibrium
Tang, Xian-Zhu	Scalable multiphysics block preconditioning of a fully-implicit VMS visco-resistive MHD formulation with application to Magnetic Confinement Fusion A block preconditioner for resistive MHD simulations A Newton-based Grad-Shafranov solver for tokamak equilibrium
Tezaur, Irina	Partitioned Scheme for Coupling Heterogenous Numerical Methods, Including Reduced Order Models, Over Nonoverlapping Interfaces
Thomas, Stephen	Adaptive CSR Krylov Solvers on GPU
Thompson, Jeremy L.	Performance-portable p-multigrid block preconditioning for mixed FE discretizations of nearly incompressible hyperelasticity
Tian, Fan	Tensor Completion with BMD Factor Nuclear Norm Minimization
Tran, Brian	Nonlinearly partitioned time integration for multiphysics
Tranquilli, Paul	Solvers and preconditioners enabling flexible IMEX integration of fusion plasmas in COGENT*
Treister, Eran	Physics-guided Full Waveform Inversion using Encoder-Solver Convolutional Neural Networks
Trojak, Will	Online Bayesian Optimization of Polynomial-Multigrid Cycles for Flux Reconstruction
Truong, Duc P	Tensor Networks Space-Time Spectral Method for Solving the Heat Equation Tensor Networks for Solving the Time-Independent Boltzmann Neutron Transport Equation
Tsipinakis, Nick	A Multilevel Method for Self-Concordant Minimization
Tuminaro, Raymond	Scalable multiphysics block preconditioning of a fully-implicit VMS visco-resistive MHD formulation with application to Magnetic Confinement Fusion A block preconditioner for resistive MHD simulations An energy minimization approach to H-curl AMG
Turkel, Eli	Large scale Scattering using the HINTS
U
Upton-Azzam, Joy	An Iterative Rank-Revealing Randomized Algorithm
V
Van Beeumen, Roel	Hybrid Quantum-Classical Krylov Methods for Eigenvalue Computation
Vargas, David	An Absolutely Convergent Parallel-in-Time Relaxation Method for Chaotic Problems
Vargas, David	Progress in Layer-Parallel Neural Networks Training and Inference
Variansyah, Ilham	Dynamic and Deterministic Neutron Transport on GPUs using One-cell Inversion
Vassilevski, Panayot	Improving Multilevel Monte Carlo Scaling with Level-Dependent Redistribution Accelerating Multi-Level Markov Chain Monte Carlo Methods Using Machine Learning Models Adaptive Composite AMG Solvers Utilizing Graph Modularity Coarsening
Vogl, Christopher	Recent Developments in Asynchronous Linear Solvers for Computing at the Very Edge Existence and uniqueness analysis of an atmosphere-ocean surface exchange algorithm with applications to global climate models
W
Wan, Ning	On the Convergence of CROP-Anderson Acceleration Method
Wang, Jing-Yuan	Parallel Space-time Implicit Runge-Kutta Methods and Tensor-structure-preserving Schwarz Preconditioning for Parabolic Problems
Wang, Xue	A parameter-robust preconditioner for Stokes-Darcy coupling problems
Warsa, James	Decoupled Diffusion Synthetic Acceleration for Deterministic Neutral Particle Transport
Webster, Clayton	Smoothing Gradient Descent (SmoothGD)
Wei, Jingrong	Transformed primal-dual methods with variable-preconditioners for nonlinear partial differential equations
West, Matthew	Learning optimal iterative methods
Wild, Stefan	Stochastic Average Model Methods
Wildey, Tim	Structure Optimization and Compression Methods for Finite Element Operators
Witherden, Freddie	Online Bayesian Optimization of Polynomial-Multigrid Cycles for Flux Reconstruction
Woodward, Carol	Existence and uniqueness analysis of an atmosphere-ocean surface exchange algorithm with applications to global climate models
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Xi, Yuanzhe	Acceleration methods for scientific and data science applications
Xi, Yuanzhe	Efficient Hybrid Spatial-Temporal Operator Learning
Xia, Jianlin	Fast Solvers for Neural Network Least-Squares Approximations A Damped Block Gauss-Newton Method for Shallow ReLU Neural Network
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Yaniv, Yotam	Construction of Hierarchically Semi-Separable Matrix Representation using Adaptive Sparse Johnson-Lindenstrauss Sketching
Ye, Erika	Quantized tensor trains for solving Vlasov-Maxwell equations
Yesypenko, Anna	Fast Randomized Algorithms for Rank-Structured Matrices
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Zeng, Xubin	Existence and uniqueness analysis of an atmosphere-ocean surface exchange algorithm with applications to global climate models
Zhang, Enrui	Large scale Scattering using the HINTS
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