CM2020: 16TH COPPER MOUNTAIN CONFERENCE ON ITERATIVE METHODS
PROGRAM

Days: Saturday, March 21st Sunday, March 22nd Monday, March 23rd Tuesday, March 24th Wednesday, March 25th Thursday, March 26th

Saturday, March 21st

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13:00-16:30 Session 1: Iterative Methods for Data Analysis

Led by Van Henson and Geoff Sanders (LLNL).

Topics include: solvers and preconditioning for graph problems,  matrix functions for graph analysis, spectral partitioning, eigenvector properties, impact of skewed degree distributions, ranking algorithms, Markov chains
 

Chair:
Sunday, March 22nd

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08:00-10:05 Session 2A: Preconditioning for Multiphysics Problems I. Bighorn B
08:00
A Scalable Approximate Inverse Block Preconditioner for an Incompressible Magnetohydrodynamics Model Problem (abstract)
08:25
Block preconditoning strategy for reduced magnetohydrodynamic (RMHD) equations (abstract)
08:50
Scalable implicit, adaptive MFEM-based solvers for reduced resistive MHD (abstract)
09:15
An element-based preconditioner for mixed finite element problems (abstract)
09:40
Scalable Block Preconditioning of Implicit / IMEX FE Continuum Plasma Physics Models (abstract)
08:00-10:05 Session 2B: Krylov Methods. Bighorn C/1
08:00
On the Convergence Rate of Variants of the Conjugate Gradient Algorithm in Finite Precision Arithmetic (abstract)
08:25
Sharp 2-norm Error Bounds for the Conjugate Gradient Method and LSQR (abstract)
08:50
Singular Systems along with Eigenvalues and Singular Values (abstract)
09:15
Delayed Re-Orthogonalization to Achieve One-Synch Classical Gram-Schmidt Applied to GMRES and Krylov-Schur Algorithms (abstract)
09:40
A single-pole rational Krylov subspace method for approximating Markov functions of matrices (abstract)
08:00-10:05 Session 2C: PDE-constrained Optimization. Bighorn C/2
08:00
An Approximation Scheme For Distributionally Robust Nonlinear PDE-Constrained Optimization (abstract)
08:25
An ADMM-based time domain decomposition approach for PDE constrained optimization (abstract)
08:50
Algebraic Multigrid Preconditioning for PDE-constrained Optimization (abstract)
09:15
Fractional Optimal Control Problems with State Constraints: Algorithm and Analysis (abstract)
10:25-12:30 Session 3A: Preconditioning for Multiphysics Problems II. Bighorn B
10:25
Preconditioning a Fully Implicit Gyrokinetic Electromagnetic Particle-in-Cell Method (abstract)
10:50
A coupled thermal radiative transfer and kinetic plasma solver (abstract)
11:15
A moment-accelerated iterative implicit solver for the multispecies 1D-2V Vlasov-Fokker-Planck – Ampère kinetic equation (abstract)
11:40
A solution strategy for fluid-structure interaction using the unified continuum formulation, quasi-direct coupling, and nested block preconditioning (abstract)
12:05
Simulating Multi-Species Compressible Flow with a Fully-Implicit All-Speed Flow Solver (abstract)
10:25-12:30 Session 3B: Iterative Methods and Preconditioning. Bighorn C/1
Chair:
10:25
Band-Toeplitz preconditioners for nonsymmetric ill-conditioned Toeplitz systems (abstract)
10:50
Efficient low-order refined solvers for high-order matrix-free continuous and discontinuous Galerkin methods (abstract)
11:15
Robust and Efficient Multilevel-ILU Preconditioning of Newton-GMRES with Applications to Navier-Stokes Equations (abstract)
11:40
A new implicit Eulerian solver for semiconductor models (abstract)
10:25-12:30 Session 3C: Inverse Problems and Regularization. Bighorn C/2
Chair:
10:25
Iterative Image Reconstruction and Segmentation Using Mesh Adaptation (abstract)
10:50
An Inner-Outer Iterative Method for Edge Preservation in Image Restoration and Reconstruction (abstract)
11:15
A Hybrid Approach for Image Reconstruction in Electrical Impedance Tomography (abstract)
11:40
CALIBRATING SENSING DRIFT IN TOMOGRAPHIC INVERSION (abstract)
12:05
A Multilevel Hyperbolic Neural Network for Image Segmentation. (abstract)
16:30-18:35 Session 4A: Preconditioning for Multiphysics Problems III. Bighorn B
16:30
Monolithic Multigrid for a Stabilized Discretization of the Poroelastic Equations (abstract)
16:55
Robust Preconditioners for Mixed-dimensional Models of Flow in Fractured Porous Media (abstract)
17:20
A New Solver for Coupling Maxwell's Equations to Transmission Lines (abstract)
17:45
An iterative particle-in-cell scheme for the hybrid plasma model using physics-based preconditioning (abstract)
18:10
On the robust discretization and fast solver for the H(curl) and H(div) convection-diffusion problems (abstract)
16:30-18:35 Session 4B: AMG for Nonsymmetric Problems. Bighorn C/1
16:30
Algebraic Multigrid for Highly Convective Flow Simulations (abstract)
16:55
Nonlinear and Linear Agglomeration Multigrid Methods for Reynolds-averaged Navier-Stokes Problems in Aerodynamics (abstract)
17:20
Incompressible Navier-Stokes with Two-Stage Gauss-Seidel Smoothers for FGMRES-AMG (abstract)
17:45
A parallel multigrid technique for nonsymmetric elliptic systems with application to variable-density flows (abstract)
18:10
Discretization of the Multi-fluid Plasma Model using IMEX and Mixed Continuous/Discontinuous FEM (abstract)
16:30-18:35 Session 4C: Nonlinear Solvers and Coupling Methods in Climate Modeling. Bighorn C/2
16:30
Initialization of the thermo-mechanical state of an ice sheet model using PDE-constrained optimization (abstract)
16:55
A scalable semi-implicit barotropic mode solver for the MPAS-Ocean (abstract)
17:20
Meshless Remap of Native Fields for Earth System Models via Generalized Moving Least Squares (abstract)
17:45
Interface Flux Recovery Coupling Method for the Ocean-Atmosphere System (abstract)
18:10
Overcoming Gibbs Phenomenon in Data Remap and Convection-Dominant PDEs using WLS-ENO Techniques (abstract)
Monday, March 23rd

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08:00-10:05 Session 5A: Machine Learning and Iterative Methods. Bighorn B
08:00
Future of Computing – How May Iterative Methods Exploit Future Technology Directions (abstract)
08:25
Asynchronous SGD for Training DNNs (abstract)
08:50
Towards Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint (abstract)
09:15
Multilevel training of deep residual networks (abstract)
09:40
Layer-Parallel Training and Multilevel Initialization for Deep Residual Neural Networks (abstract)
08:00-10:05 Session 5B: Helmholtz Solvers. Bighorn C/1
08:00
WaveHoltz an Iterative Solver for the Helmholtz Equation via the Wave Equation. Part 1: Theoretical Aspects. (abstract)
08:25
WaveHoltz an Iterative Solver for the Helmholtz Equation via the Wave Equation. Part 2: Experiments, implementation and extensions. (abstract)
08:50
Scalable convergence using two-level deflation preconditioning for the Helmholtz equation (abstract)
09:15
A Fast Solver for the Fractional Helmholtz Equation (abstract)
09:40
A GenEO coarse space for solving the heterogeneous Helmholtz equation with domain decomposition methods (abstract)
08:00-10:05 Session 5C: Algebraic Multigrid. Bighorn C/2
08:00
Finding AMG aggregates in a haystack: from maximum product matching to scalable solvers (abstract)
08:25
Algebraicly generated line relaxation for algebraic multigrid domain decomposition (abstract)
08:50
Coarse Grid Selection using Simulated Annealing (abstract)
09:15
A Multigrid Reduction Framework for Flow in Porous and Fractured Media (abstract)
09:40
Developing Work-Optimal Multilevel Methods (abstract)
10:25-12:30 Session 6A: Machine Learning and Iterative Methods. Bighorn B
10:25
Improving linear solver performance using machine learning (abstract)
10:50
Multigrid Methods and Convolutional Neural Network (abstract)
11:15
Machine Learning in adaptive domain decomposition methods-- predicting the geometric location of constraints (abstract)
11:40
Optimizing parameters of iterative methods with stochastic optimization (abstract)
12:05
Generative adversarial networks and iterative methods (abstract)
10:25-12:30 Session 6B: Computational Electromagnetics. Bighorn C/1
10:25
High Performance Domain Decomposition Method for 3D Electromagnetic simulations (abstract)
10:50
Analysis of parallel Schwarz solvers for time-harmonic wave propagation problems (abstract)
11:15
A Finite-Element Framework for a Mimetic Finite-Difference Discretization of Maxwell's Equations (abstract)
10:25-12:30 Session 6C: Multigrid. Bighorn C/2
10:25
An h-multigrid method for Hybrid High-Order discretizations (abstract)
10:50
Multigrid in H(div) on Axisymmetric Domains (abstract)
11:15
A two level method for isogeometric discretizations (abstract)
11:40
Deflated p-multigrid solvers for Isogeometric Analysis (abstract)
12:05
Nesterov Accelerated Multigrid Method (abstract)
16:30-18:35 Session 7A: Machine Learning and Iterative Methods. Bighorn B
16:30
Efficient Training of Neural Network Surrogate Methods with Variable Projection (abstract)
16:55
Multi-tasking deep learning models for predictions of total energy of solid solution alloys (abstract)
17:20
LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks (abstract)
17:45
GMLS-Nets: a convolutional neural network architecture for unstructured point-cloud data (abstract)
18:10
Deep Learning Enriched with Fractional Operators (abstract)
16:30-18:35 Session 7B: Mixed Precision. Bighorn C/1
Chair:
16:30
Newton's Method in Mixed Precision (abstract)
16:55
Low-precision orthogonalization in eigensolvers (abstract)
17:20
Compressibility Constraints for Adaptive Rate ZFP Compression in Iterative Methods (abstract)
17:45
Progressive three-precision multigrid solvers (abstract)
18:10
Error Analysis of Mixed Precision Algorithms for Computing Matrix Interpolative Decompositions (abstract)
16:30-18:35 Session 7C: Domain Decomposition. Bighorn C/2
16:30
Primal-Dual Weak Galerkin Finite Element Methods for First-Order Transport Problems (abstract)
16:55
Additive Schwarz Preconditioners for a Localized Orthogonal Decomposition Method (abstract)
17:20
FROSch - A framework for parallel Schwarz preconditioners in Trilinos (abstract)
17:45
On appropriate coarse spaces for asynchronous Optimized Schwarz Method (abstract)
Tuesday, March 24th

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08:00-10:05 Session 8A: Preconditioning. Bighorn B
08:00
An implicit approach to phase field modeling of solidification for metals and alloys (abstract)
08:25
Recurrent use of AL preconditioner for fluid equations on manifolds. (abstract)
08:50
Enhanced Relaxed Physical Factorization Preconditioner for Three-Field Poroelasticity (abstract)
09:15
Spectral-based fast solvers for finite volume discretizations of a conservative fractional diffusion problem (abstract)
08:00-10:05 Session 8B: Quantum Linear Algebra Algorithms I. Bighorn C/1
Chair:
08:00
Quantum Computing From a Linear Algebra Perspective (abstract)
08:25
Variational quantum algorithms running on quantum supreme chips (abstract)
08:50
Low-depth gradient measurements can improve convergence in variational hybrid quantum-classical algorithms (abstract)
09:15
Quantum linear system solver based on time-optimal adiabatic quantum computing and quantum approximate optimization algorithm (abstract)
08:00-10:05 Session 8C: Transport and Nuclear Applications. Bighorn C/2
08:00
Domain Decomposed Monte Carlo Transport on GPUs in Shift (abstract)
08:25
Scalable multilevel domain decomposition methods with SG coarse spaces for the multigroup neutron transport equations (abstract)
08:50
Multimaterial, three temperature radiation-hydrodynamics solver for ICF applications (abstract)
09:15
Iterative Methods for Thermal Radiation Transport with Multiple Preconditioners (abstract)
09:40
Data motion analysis for Implicit Monte Carlo on CPUs and GPUs (abstract)
10:25-12:30 Session 9A: Eigenvalue and SVD Computations. Bighorn B
10:25
Hybrid Iterative Refined Methods for Symmetric Eigenvalue Problems (abstract)
10:50
Low-Rank Stopping Criteria for Block Parallel SVD (abstract)
11:15
HiSVD: A Hybrid Incremental SVD Method for Streaming Large, Sparse Matrices (abstract)
11:40
Computing Generalized Matrix Functions with Singular Value Estimation (abstract)
12:05
Domain decomposition Rayleigh-Ritz approaches for symmetric generalized eigenvalue problems (abstract)
10:25-12:30 Session 9B: Quantum Linear Algebra Algorithms II. Bighorn C/1
Chair:
10:25
Quantum primitives and quantum linear algebra (abstract)
10:50
Eigenstate filtering with application to quantum linear systems (abstract)
11:15
Quantum state verification in linear algebra problems (abstract)
11:40
Quantum algorithm for linear systems and applications to plasma dynamics (abstract)
10:25-12:30 Session 9C: Preconditioning. Bighorn C/2
10:25
Matrix-free preconditioning for high-order finite elements (abstract)
10:50
Preconditioning for a Stabilized Mixed-Hybrid Formulation of Biot’s Poroelasticity Equations (abstract)
11:15
Peclet-robust preconditioners for singularly perturbed convection-diffusion equations (abstract)
11:40
Nonsymmetric block preconditioners and heterogeneous DSA, compatible with voids (abstract)
12:05
Multiscale preconditioning for coupled porous media flow and geomechanics on unstructured grids (abstract)
16:30-18:35 Session 10A: Algebraic Preconditioners. Bighorn B
Chair:
16:30
Preconditioners based on enhanced structured incomplete factorization (eSIF) for general SPD matrices (abstract)
16:55
Leveraging One-Sided Communication for Sparse Triangular Solvers (abstract)
17:20
Multicolor Block Gauss-Seidel using Kokkos (abstract)
17:45
SSAI: A symmetric sparse approximate inverse preconditioner for the conjugate gradient methods PCG and PCGLS (abstract)
16:30-18:35 Session 10B: Quantum Linear Algebra Algorithms III. Bighorn C/1
16:30
Unitary Matrix Decompositions for Quantum Circuit Synthesis (abstract)
16:55
Quantum algorithm for simulating the wave equation (abstract)
17:20
High-precision quantum algorithms for partial differential equations (abstract)
16:30-18:35 Session 10C: UQ and Montecarlo methods. Bighorn C/2
16:30
An efficient solver for nonlinear Bayesian inverse problems (abstract)
16:55
Multilevel Monte Carlo with improved correlation for kinetic equations in the diffusive scaling (abstract)
17:20
A Discrete-time Cancer Immunotherapy Model under the Kolmogorov Equation View and the Reaction-Diffusion Model (abstract)
17:45
Exploiting Sparsity in the Estimation of Gaussian Mixture Models (abstract)
18:10
Deflation and preconditioning strategies for sequences of sampled stochastic elliptic equations (abstract)
Wednesday, March 25th

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08:00-10:05 Session 11A: Optimization Methods. Bighorn B.
Chair:
08:00
Analysis of the sensitivity of output wave height to input bottom friction and bathymetry in the coastal wave model STWAVE (abstract)
08:25
Sparse trigonometric interpolation with applications to computational chemistry (abstract)
08:50
Regularized Non-linear Least-Squares Unconstrained Minimization Method for High-order Finite-Element Implicit Shock-Fitting in Space-Time (abstract)
09:15
A Projected Newton-Krylov Method for Large-Scale Bound-Constrained Optimization Problems (abstract)
09:40
Energy Function Approach to the Time-Varying Optimal Gas Flow (abstract)
08:00-10:05 Session 11B: Low-rank methods. Bighorn C/1
Chair:
08:00
Krylov Methods for Low-Rank Regularization (abstract)
08:25
A Low-Rank Solver for the Unsteady Navier-Stokes Equations (abstract)
08:50
Low-rank plus sparse matrices: ill-posedness and guaranteed recovery (abstract)
09:15
A low-rank matrix equation method for solving PDE-constrained optimization problems (abstract)
09:40
Randomized Iterative Methods for Low Rank Matrix Approximation (abstract)
08:00-10:05 Session 11C: Multigrid Algorithms and their Performance on GPU Platforms. Bighorn C/2
08:00
Algebraic Multigrid Methods for Large-Scale Electromagnetic Particle-in-Cell Simulations (abstract)
08:25
MueLu's SA-AMG implementation and performance on GPUs (abstract)
08:50
One-Reduce FGMRES-AMG with Two-Stage Gauss-Seidel Smoothers on GPU (abstract)
09:15
Recent Development of Multigrid Solvers in HYPRE on Modern Heterogeneous Computing Platforms (abstract)
09:40
Robust Structured Multigrid on GPUs: Leveraging legacy kernels in the Cedar Framework (abstract)
10:25-12:30 Session 12A: Multilevel Methods. Bighorn B
10:25
p-Multigrid with Partial Smoothing: An Efficient Preconditioner for Discontinuous Galerkin Discretizations with Modal Bases (abstract)
10:50
Non-overlapping block smoothers for the Stokes equations (abstract)
11:15
Expressing AMG Interpolation in Terms of Sparse Matrix-Matrix Multiplications (abstract)
11:40
Parallel-in-time simulation of biofluids (abstract)
10:25-12:30 Session 12B: Data Science and Graph Algorithm Applications. Bighorn C/1
10:25
Iterative Solution Methods for Nonnegative Matrix Factorizations (abstract)
10:50
A Multilevel Subgraph Preconditioner for Linear Equations in Graph Laplacians (abstract)
11:15
Parallel spectral partitioning on multiple GPUs (abstract)
11:40
Mixed-Precision Arithmetic for Graph Clustering and Graph Ranking (abstract)
12:05
Computing a posteriori error estimates for algebraic multigrid methods on graphs (abstract)
10:25-12:30 Session 12C: Nonlinear Problems. Bighorn C/2
10:25
A Rational Approximation Method for Large-Scale Nonlinear Eigenvalue Problems (abstract)
10:50
Nonlinear Solvers for Two-species Neutrino-matter Equations in Core-Collapse Supernovae Simulations (abstract)
11:15
Optimal Asymptotic Convergence Rates for Nesterov and Anderson Acceleration with Application to Tensor Decomposition (abstract)
11:40
A new quasi-Newton method for a black-box system with a physics-based surrogate (abstract)
16:30-18:10 Session 13: Student Paper Awards and Presentations. Plenary Session Bighorn B
Chair:
16:30
BiLQ: An Iterative Method for Nonsymmetric Linear Systems with a Quasi-Minimum Error Property (abstract)
16:55
Predict-and-recompute Conjugate Gradient Variants (abstract)
17:20
Optimizing MGRIT and Parareal coarse-grid operators for linear advection (abstract)
Thursday, March 26th

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08:00-10:05 Session 14A: Algorithms/Software for Forward and Inverse Problems. Bighorn B
08:00
Improving Hypre's semi-structured support (abstract)
08:25
xSDK: Toward a Community Software Development Kit (SDK) for High-Performance Computational Science (abstract)
08:50
Finite Element Tools for Performance Portability of Implicit and IMEX Simulations on Next Generation Architectures (abstract)
09:15
Hyper-Differential Sensitivity Analysis for Inverse Problems. (abstract)
09:40
INCISIVE DVF INVERSION VIA BI-RESIDUAL FEEDBACK (abstract)
08:00-10:05 Session 14B: Asynchronous and Randomized Algorithms. Bighorn C/1
08:00
Dynamic Non-Uniform Randomization in Asynchronous Linear Solvers (abstract)
08:25
Smoothing by asynchronous iterations and sparse approximate inverses for fluid dynamics on graphics processing units (abstract)
08:50
Redundancy as a Remedy for Delayed Communication in Asynchronous Solvers (abstract)
10:25-12:30 Session 15A: Iterative Methods and Preconditioning. Bighorn B
10:25
Block preconditioners for the the coupled Darcy-Stokes problem (abstract)
10:50
Block Preconditioning for Implicit Runge-Kutta Methods for Time-Dependent (abstract)
11:15
Unconstrained Energy Functional Methods for Massively Parallel Iterative Eigensolvers (abstract)
11:40
A System of Semilinear Singularly Perturbed Convection-Diffusion type (abstract)
12:05
Generation of compressed stationary fields with circulant embedding (abstract)
10:25-12:30 Session 15B: Discretizations. Bighorn C/1
10:25
Condensed Nonconforming Reformulations for Preconditioning Finite Element Discretization Problems (abstract)
10:50
New mixed methods for incompressible hyperelasticiy in terms of Kirchhoff stress (abstract)
11:15
An Adaptive Newton Div-Curl Least-Squares Finite Element Method for the Cahn-Hilliard Equation (abstract)
11:40
Adaptive Space-Time CFOSLS for Evolution Equations (abstract)