CCIMM26: COLORADO CONFERENCE ON ITERATIVE AND MULTIGRID METHODS

A
Actor, Jonas A.	Multilevel Training for Kolmogorov Arnold Networks Multilevel training methods for large-scale transformer architectures Spatial and Channel Refinement of Convolutional Neural Networks
Adler, James H	An incidence-based edge-averaged method for the convection-diffusion problems on polygonal meshes. A Unified Two-Grid Framework for Anderson Acceleration and Nonlinear GMRES A Discrete-Sine-Transform based Preconditioner for Adaptive Meshes Randomized Fast Subspace Descent Methods
Alexanderian, Alen	FlexTrace: Exchangeable Randomized Trace Estimation for Matrix Functions
Ali, Ahsan	Efficient Multigrid Solvers for Time-Dependent Rayleigh-Bénard Convection
Alvarez, Gonzalo	Mixed-precision LOBPCG on GPUs
Appelhans, David	Using Half Precision for Matrix Splitting Iterations
Atkins, Zachary R	Accelerating Implicit Contact via Matrix-Free Operators on Non-Conforming Interfaces
B
Ben-Yair, Ido	Accelerating Algebraic Multigrid with Learned Sparse Corrections
Bolten, Matthias	Analysis on aggregation and block smoothers in multigrid methods for block Toeplitz linear systems A full layer-parallel training with PyMGRIT for forward and backward passes in neural networks
Boyle, Peter	The Wilson-Dirac Operator and its Spectrum
Brannick, James	Structure Preserving AMG Strategies for PDE Systems, with a focus on Stokes Equations
Brannick, James	Nodal Coarsening and Sparse Ideal Interpolation for H(curl) Problems in Algebraic Multigrid
Brarda, Francesco	Preconditioning Via Spectral Density Driven Graph Neural Networks
Brown, Jed	Opening Remarks Do Well-Balancing and Second-Order Accuracy Matter for River and Compound Flood Modeling? Riemann Solvers and Well-Balancing in Shallow Water Modeling with RDycore A new performance landscape for implicit finite-element analysis of turbulence
C
Cai, Xiao-Chuan	Learning-enhanced preconditioning techniques for linear and nonlinear iterative methods
Cai, Zhiqiang	Structure-Guided Gauss-Newton Method: LSNN for Linear Advection-Reaction Equation
Chatelain, Philippe	A High‑Order Adaptive Multigrid–FFT Poisson Solver for Unbounded and Periodic Domains
Chen, Chao	Parametric Hierarchical Matrix Approximations to Kernel Matrices
Chen, Long	Randomized Fast Subspace Descent Methods
Chow, Edmond	H2-MG: A Multigrid Method for Hierarchical Rank Structured Matrices
Cyr, Eric	Multilevel Training for Kolmogorov Arnold Networks Multilevel training methods for large-scale transformer architectures Spatial and Channel Refinement of Convolutional Neural Networks A full layer-parallel training with PyMGRIT for forward and backward passes in neural networks
D
D'Ambra, Pasqua	The Christoffel-Darboux Basis for Krylov Methods
Dabetic, Radovan	Multigrid for FEEC using Mass-Lumping and Transforming Smoothers: Algorithms and Results
Dendukuri, Aditya	Adaptive Multigrid Finite State Projection for the Reaction-Diffusion Master Equation
Ding, Zhiyan	Quantum optimal preconditioning via oracle-free block-encoding of expanded systems
Donatelli, Marco	Analysis on aggregation and block smoothers in multigrid methods for block Toeplitz linear systems
E
Endeve, Eirik	Multigrid Reduction Preconditioning for Fully Implicit Magnetohydrodynamics
F
Falgout, Robert	Nodal Coarsening and Sparse Ideal Interpolation for H(curl) Problems in Algebraic Multigrid Multigrid Reduction Preconditioning for Fully Implicit Magnetohydrodynamics No Talk New design advances in HYPRE for semi-structured problems
Fattebert, Jean-Luc	Mixed-precision LOBPCG on GPUs
Ferrari, Paola	Analysis on aggregation and block smoothers in multigrid methods for block Toeplitz linear systems
Fink, Yali	Accelerating Algebraic Multigrid with Learned Sparse Corrections
Fornace, Mark	Markov chains, graph Laplacians, and column subset selection
Fornberg, Bengt	High-order Iterative and Multilevel Elliptic Solver for Node Sets Not Aligned with Boundaries
Friedhoff, Stephanie	A full layer-parallel training with PyMGRIT for forward and backward passes in neural networks
Frost, H. Robert	Iterative execution of discrete and inverse discrete Fourier transforms with applications for signal denoising via sparsification
Furci, Isabella	Analysis on aggregation and block smoothers in multigrid methods for block Toeplitz linear systems
G
Gillis, Thomas	A High‑Order Adaptive Multigrid–FFT Poisson Solver for Unbounded and Periodic Domains
Glusa, Christian	Energy minimization multigrid for the eddy current equations Structure Preserving AMG Strategies for PDE Systems, with a focus on Stokes Equations
Grodzicki, Mieszko	Massively Parallel Domain Decomposition Preconditioner on a GPU: Efficient Implementation and Fine-Tuning
H
Harper, Graham	Multilevel Training for Kolmogorov Arnold Networks A Matrix-Free Algebraic HP-Multigrid Method for Computational Fluid Dynamics Applications Multilevel training methods for large-scale transformer architectures Spatial and Channel Refinement of Convolutional Neural Networks
Hauck, Cory	Multigrid Reduction Preconditioning for Fully Implicit Magnetohydrodynamics
He, Yunhui	A Unified Two-Grid Framework for Anderson Acceleration and Nonlinear GMRES
Hernandez, Oscar	Mixed-precision LOBPCG on GPUs
Herrera, César	Structure-Guided Gauss-Newton Method: LSNN for Linear Advection-Reaction Equation
Hu, Xiaozhe	An incidence-based edge-averaged method for the convection-diffusion problems on polygonal meshes. An adaptive framework for first-order gradient methods A Unified Two-Grid Framework for Anderson Acceleration and Nonlinear GMRES A Discrete-Sine-Transform based Preconditioner for Adaptive Meshes Randomized Fast Subspace Descent Methods
Hu, Xiaozhe	Quantum optimal preconditioning via oracle-free block-encoding of expanded systems
J
James R, Wright Iii	A new performance landscape for implicit finite-element analysis of turbulence
Jansen, Kenneth	A new performance landscape for implicit finite-element analysis of turbulence
Jansson, Niclas	A Matrix-Free Algebraic HP-Multigrid Method for Computational Fluid Dynamics Applications
Jin, Ruhui	Randomized Sketch-and-Project Methods for Quadratic Minimax Problems
Jung, Chulwoo	The Wilson-Dirac Operator and its Spectrum
K
Kahl, Karsten	Nodal Coarsening and Sparse Ideal Interpolation for H(curl) Problems in Algebraic Multigrid Structure Preserving AMG Strategies for PDE Systems, with a focus on Stokes Equations
Kalantzis, Vassilis	Preconditioning Via Spectral Density Driven Graph Neural Networks
Kashi, Aditya	Mixed-precision LOBPCG on GPUs
Keyes, David	H2-MG: A Multigrid Method for Hierarchical Rank Structured Matrices
Khan, Abraham	Parametric Hierarchical Matrix Approximations to Kernel Matrices
Khoshnevisan, Mohadeseh	Riemann Solvers and Well-Balancing in Shallow Water Modeling with RDycore
Kilmer, Misha	A Discrete-Sine-Transform based Preconditioner for Adaptive Meshes AN EFFICIENT CUMULATIVE EDGE-DETECTION METHOD FOR EDGE-PRESERVING IMAGE RECONSTRUCTION
Kirby, Robert	Efficient Multigrid Solvers for Time-Dependent Rayleigh-Bénard Convection
Krzysik, Oliver	LS--AMG--DD: An AMG/DD Solver for Least-Squares-Style Systems
Krzyżanowski, Piotr	Massively Parallel Domain Decomposition Preconditioner on a GPU: Efficient Implementation and Fine-Tuning
L
Lambrechts, Jonathan	A High‑Order Adaptive Multigrid–FFT Poisson Solver for Unbounded and Periodic Domains
Lawrence, Andrew	High-order Iterative and Multilevel Elliptic Solver for Node Sets Not Aligned with Boundaries
Lee, Barry	Constructing Hierarchical Graph Neural Networks with Algebraic Multigrid Procedures
Lee, Seulip	An incidence-based edge-averaged method for the convection-diffusion problems on polygonal meshes. Quantum optimal preconditioning via oracle-free block-encoding of expanded systems
Lefebvre, Satchel	A Unified Two-Grid Framework for Anderson Acceleration and Nonlinear GMRES
Li, Rui Peng	Preconditioning Via Spectral Density Driven Graph Neural Networks New design advances in HYPRE for semi-structured problems
Lindquist, Neil	Using Half Precision for Matrix Splitting Iterations
Lindsey, Michael	Markov chains, graph Laplacians, and column subset selection
Loizou, Nicolas	Randomized Sketch-and-Project Methods for Quadratic Minimax Problems
Lucero Lorca, Jose Pablo	On spectral clustering in algebraic multigrid methods
M
MacLachlan, Scott	Hierarchical Graph Networks for Scalable Learning on Graphs
Madhavan, Madhusudan	FlexTrace: Exchangeable Randomized Trace Estimation for Matrix Functions
Magri, Victor	Multigrid Reduction Preconditioning for Fully Implicit Magnetohydrodynamics New design advances in HYPRE for semi-structured problems
McBride, Daniel	Symplectic nonlinear splitting methods for Hamiltonian Monte Carlo Spatial and Channel Refinement of Convolutional Neural Networks
McCoid, Conor	On spectral clustering in algebraic multigrid methods
Mitchell, Wayne	New design advances in HYPRE for semi-structured problems
N
Nabben, Reinhard	Optimal transfer operators and convergence bounds for nonsymmetric two-grid methods
Nielsen, Morten	High-order Iterative and Multilevel Elliptic Solver for Node Sets Not Aligned with Boundaries
Nytko, Nicolas	Hierarchical Graph Networks for Scalable Learning on Graphs Agglomeration-based multigrid solver in a lazy-evaluated array framework
O
O'Keefe, Eoghan	An incidence-based edge-averaged method for the convection-diffusion problems on polygonal meshes.
Oare, Patrick	The Wilson-Dirac Operator and its Spectrum
Ohm, Peter	A Matrix-Free Algebraic HP-Multigrid Method for Computational Fluid Dynamics Applications
Okunola, Toluwani	AN EFFICIENT CUMULATIVE EDGE-DETECTION METHOD FOR EDGE-PRESERVING IMAGE RECONSTRUCTION
Olson, Luke	Hierarchical Graph Networks for Scalable Learning on Graphs Agglomeration-based multigrid solver in a lazy-evaluated array framework Sparse Matrix–Vector Multiplication for Algebraic Multigrid on the Cerebras Wafer-Scale Engine
Outrata, Michal	On spectral clustering in algebraic multigrid methods
P
Pan, Wenxiao	Quantum optimal preconditioning via oracle-free block-encoding of expanded systems
Pangilinan, Raphael	Operator Learning on the Data-Driven Multiscale Space for Nonlinear Flow in Random Heterogeneous Porous Media
Pasha, Mirjeta	AN EFFICIENT CUMULATIVE EDGE-DETECTION METHOD FOR EDGE-PRESERVING IMAGE RECONSTRUCTION
Patel, Vivak	Advancing Optimization Algorithm Complexity Theory
Patrou, Maria	Mixed-precision LOBPCG on GPUs
Pearson, John	Matrix free PDE-constrained optimization with basis preconditioning for gas flows in networks
Petzold, Linda	Adaptive Multigrid Finite State Projection for the Reaction-Diffusion Master Equation
Pollock, Sara	An adaptive framework for first-order gradient methods
Poncelet, Gilles	A High‑Order Adaptive Multigrid–FFT Poisson Solver for Unbounded and Periodic Domains
Prokopenko, Andrey	Mixed-precision LOBPCG on GPUs
R
Rao, Vishwas	Parametric Hierarchical Matrix Approximations to Kernel Matrices
Rooch, Ludwig	Optimal transfer operators and convergence bounds for nonsymmetric two-grid methods
Ruthotto, Lars	Accelerating Algebraic Multigrid with Learned Sparse Corrections
S
Saad, Yousef	What Makes a Good Preconditioner for Data Science?
Saibaba, Arvind	Parametric Hierarchical Matrix Approximations to Kernel Matrices FlexTrace: Exchangeable Randomized Trace Estimation for Matrix Functions
Schewe, Lars	Matrix free PDE-constrained optimization with basis preconditioning for gas flows in networks
Schroder, Jacob	Nodal Coarsening and Sparse Ideal Interpolation for H(curl) Problems in Algebraic Multigrid Structure Preserving AMG Strategies for PDE Systems, with a focus on Stokes Equations A full layer-parallel training with PyMGRIT for forward and backward passes in neural networks
Scott, Mitchell	What Makes a Good Preconditioner for Data Science?
Shah, Shikhar	Block Jacobi Preconditioning on Analog Hardware
Shanbhag, Arnav	Advancing Optimization Algorithm Complexity Theory
Shen, Taoli	Nodal Coarsening and Sparse Ideal Interpolation for H(curl) Problems in Algebraic Multigrid
Shen, Taoli	Structure Preserving AMG Strategies for PDE Systems, with a focus on Stokes Equations
Smith, Matt	Agglomeration-based multigrid solver in a lazy-evaluated array framework
Southworth, Ben	LS--AMG--DD: An AMG/DD Solver for Least-Squares-Style Systems Multilevel Training for Kolmogorov Arnold Networks Multilevel training methods for large-scale transformer architectures PDE-Inspired Splitting and Preconditioning in Optimization Spatial and Channel Refinement of Convolutional Neural Networks
Sugiarta, Wisang	Do Well-Balancing and Second-Order Accuracy Matter for River and Compound Flood Modeling?
Sushnikova, Daria	H2-MG: A Multigrid Method for Hierarchical Rank Structured Matrices
T
Taylor, Maya	Sparse Matrix–Vector Multiplication for Algebraic Multigrid on the Cerebras Wafer-Scale Engine
Thomas, Stephen	The Christoffel-Darboux Basis for Krylov Methods
Treister, Eran	Scalable multigrid solver for the Helmholtz equation: real-shifted coarse grid correction Accelerating Algebraic Multigrid with Learned Sparse Corrections
Tuminaro, Raymond	Energy minimization multigrid for the eddy current equations Structure Preserving AMG Strategies for PDE Systems, with a focus on Stokes Equations
Turkiyyah, George	H2-MG: A Multigrid Method for Hierarchical Rank Structured Matrices
Turner, Rowan	Matrix free PDE-constrained optimization with basis preconditioning for gas flows in networks
V
Vasilyeva, Maria	Operator Learning on the Data-Driven Multiscale Space for Nonlinear Flow in Random Heterogeneous Porous Media
W
Wall, Kate	A Discrete-Sine-Transform based Preconditioner for Adaptive Meshes
West, Matthew	Hierarchical Graph Networks for Scalable Learning on Graphs
Wild, Stefan	A New Hybrid Neural-Quadratic Model-Based Derivative-Free Optimization Method
Wimmer, Golo	LS--AMG--DD: An AMG/DD Solver for Least-Squares-Style Systems
X
Xi, Yuanzhe	Preconditioning Via Spectral Density Driven Graph Neural Networks What Makes a Good Preconditioner for Data Science? Block Jacobi Preconditioning on Analog Hardware
Xie, Pengcheng	A New Hybrid Neural-Quadratic Model-Based Derivative-Free Optimization Method
Xu, Tianshi	Preconditioning Via Spectral Density Driven Graph Neural Networks What Makes a Good Preconditioner for Data Science?
Xue, Fei	Computing the ground state and dynamics of rotational dipolar Bose-Einstein condensates
Xue, Zhongqin	An adaptive framework for first-order gradient methods
Y
Yamamoto, Shuhei	The Wilson-Dirac Operator and its Spectrum
Yang, Ulrike	New design advances in HYPRE for semi-structured problems
Yang, Zixiao	Randomized Fast Subspace Descent Methods
Yoda, Ryo	A full layer-parallel training with PyMGRIT for forward and backward passes in neural networks
Yovel, Rachel	Scalable multigrid solver for the Helmholtz equation: real-shifted coarse grid correction
Z
Zhang, Tianqi	Computing the ground state and dynamics of rotational dipolar Bose-Einstein condensates
Zhu, Yunrong	An adaptive framework for first-order gradient methods

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