Eric C. Cyr

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 35

Top Topics

Partial Differential Equations

Finite Element Methods

Top Venues

J. Comput. Phys.

SIAM J. Sci. Comput.

Publications

Bradley H. Theilman, Qian Zhang, Adar Kahana, Eric C. Cyr, Nathaniel Trask, James B. Aimone, George Em Karniadakis
Spiking Physics-Informed Neural Networks on Loihi 2. NICE (2024)
Corné Verburg, Alexander Heinlein, Eric C. Cyr
DDU-Net: A Domain Decomposition-based CNN for High-Resolution Image Segmentation on Multiple GPUs. CoRR (2024)
Nathan V. Roberts, Sean T. Miller, Stephen D. Bond, Eric C. Cyr
An implicit-in-time DPG formulation of the 1D1V Vlasov-Poisson equations. Comput. Math. Appl. 154 (2024)
Nicholas S. Moore, Eric C. Cyr, Peter Ohm, Christopher M. Siefert, Raymond S. Tuminaro
Graph Neural Networks and Applied Linear Algebra. CoRR (2023)
Eric C. Cyr
A 2-Level Domain Decomposition Preconditioner for KKT Systems with Heat-Equation Constraints. CoRR (2023)
Ravi G. Patel, Indu Manickam, Nathaniel A. Trask, Mitchell A. Wood, Myoungkyu Lee, Ignacio Tomas, Eric C. Cyr
Thermodynamically consistent physics-informed neural networks for hyperbolic systems. J. Comput. Phys. 449 (2022)
Gordon Euhyun Moon, Eric C. Cyr
Parallel Training of GRU Networks with a Multi-Grid Solver for Long Sequences. CoRR (2022)
Nathaniel Trask, Amelia Henriksen, Carianne Martinez, Eric C. Cyr
Hierarchical partition of unity networks: fast multilevel training. MSML (2022)
Sean T. Miller, Nathan V. Roberts, Stephen D. Bond, Eric C. Cyr
Neural-network based collision operators for the Boltzmann equation. J. Comput. Phys. 470 (2022)
Euhyun Moon, Eric C. Cyr
Parallel Training of GRU Networks with a Multi-Grid Solver for Long Sequences. ICLR (2022)
Kookjin Lee, Nathaniel A. Trask, Ravi G. Patel, Mamikon A. Gulian, Eric C. Cyr
Partition of unity networks: deep hp-approximation. CoRR (2021)
Peter Sentz, Kristian Beckwith, Eric C. Cyr, Luke N. Olson, Ravi G. Patel
Reduced Basis Approximations of Parameterized Dynamical Partial Differential Equations via Neural Networks. CoRR (2021)
Peter Ohm, Tobias A. Wiesner, Eric C. Cyr, Jonathan J. Hu, John N. Shadid, Raymond S. Tuminaro
A Monolithic Algebraic Multigrid Framework for Multiphysics Applications with Examples from Resistive MHD. CoRR (2021)
Ravi G. Patel, Nathaniel Trask, Mamikon A. Gulian, Eric C. Cyr
A Block Coordinate Descent Optimizer for Classification Problems Exploiting Convexity. AAAI Spring Symposium: MLPS (2021)
James H. Adler, Thomas R. Benson, Eric C. Cyr, Patrick E. Farrell, Scott P. MacLachlan, Ray S. Tuminaro
Monolithic Multigrid Methods for Magnetohydrodynamics. SIAM J. Sci. Comput. 43 (5) (2021)
Kookjin Lee, Nathaniel Trask, Ravi G. Patel, Mamikon A. Gulian, Eric C. Cyr
Partition of Unity Networks: Deep HP-Approximation. AAAI Spring Symposium: MLPS (2021)
Eric C. Cyr, Mamikon A. Gulian, Ravi G. Patel, Mauro Perego, Nathaniel A. Trask
Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint. MSML (2020)
Stefanie Günther, Lars Ruthotto, Jacob B. Schroder, Eric C. Cyr, Nicolas R. Gauger
Layer-Parallel Training of Deep Residual Neural Networks. SIAM J. Math. Data Sci. 2 (1) (2020)
Ravi G. Patel, Nathaniel A. Trask, Mamikon A. Gulian, Eric C. Cyr
A block coordinate descent optimizer for classification problems exploiting convexity. CoRR (2020)
Ravi G. Patel, Indu Manickam, Nathaniel A. Trask, Mitchell A. Wood, Myoungkyu Lee, Ignacio Tomas, Eric C. Cyr
Thermodynamically consistent physics-informed neural networks for hyperbolic systems. CoRR (2020)
Sibusiso Mabuza, John N. Shadid, Eric C. Cyr, Roger P. Pawlowski, Dmitri Kuzmin
A linearity preserving nodal variation limiting algorithm for continuous Galerkin discretization of ideal MHD equations. J. Comput. Phys. 410 (2020)
Seung Whan Chung, Stephen D. Bond, Eric C. Cyr, Jonathan B. Freund
Regular sensitivity computation avoiding chaotic effects in particle-in-cell plasma methods. J. Comput. Phys. 400 (2020)
J. H. Adler, Thomas R. Benson, Eric C. Cyr, Patrick E. Farrell, Scott P. MacLachlan, Ray S. Tuminaro
Monolithic Multigrid for Magnetohydrodynamics. CoRR (2020)
Ravi G. Patel, Nathaniel A. Trask, Mitchell A. Wood, Eric C. Cyr
A physics-informed operator regression framework for extracting data-driven continuum models. CoRR (2020)
Eric C. Cyr, Stefanie Günther, Jacob B. Schroder
Multilevel Initialization for Layer-Parallel Deep Neural Network Training. CoRR (2019)
S. T. Miller, Eric C. Cyr, John N. Shadid, Richard M. J. Kramer, Edward G. Phillips, Sidafa Conde, Roger P. Pawlowski
IMEX and exact sequence discretization of the multi-fluid plasma model. J. Comput. Phys. 397 (2019)
Eric C. Cyr, Mamikon A. Gulian, Ravi G. Patel, Mauro Perego, Nathaniel A. Trask
Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint. CoRR (2019)
Paul T. Lin, John N. Shadid, Jonathan J. Hu, Roger P. Pawlowski, Eric C. Cyr
Performance of fully-coupled algebraic multigrid preconditioners for large-scale VMS resistive MHD. J. Comput. Appl. Math. 344 (2018)
Edward G. Phillips, John N. Shadid, Eric C. Cyr
Scalable Preconditioners for Structure Preserving Discretizations of Maxwell Equations in First Order Form. SIAM J. Sci. Comput. 40 (3) (2018)
Stefanie Günther, Lars Ruthotto, Jacob B. Schroder, Eric C. Cyr, Nicolas R. Gauger
Layer-Parallel Training of Deep Residual Neural Networks. CoRR (2018)
James H. Adler, Thomas R. Benson, Eric C. Cyr, Scott P. MacLachlan, Raymond S. Tuminaro
Monolithic Multigrid Methods for Two-Dimensional Resistive Magnetohydrodynamics. SIAM J. Sci. Comput. 38 (1) (2016)
Eric C. Cyr, John N. Shadid, Raymond S. Tuminaro
Teko: A Block Preconditioning Capability with Concrete Example Applications in Navier-Stokes and MHD. SIAM J. Sci. Comput. 38 (5) (2016)
John N. Shadid, T. M. Smith, Eric C. Cyr, Tim Wildey, Roger P. Pawlowski
Stabilized FE simulation of prototype thermal-hydraulics problems with integrated adjoint-based capabilities. J. Comput. Phys. 321 (2016)
Edward G. Phillips, John N. Shadid, Eric C. Cyr, Howard C. Elman, Roger P. Pawlowski
Block Preconditioners for Stable Mixed Nodal and Edge finite element Representations of Incompressible Resistive MHD. SIAM J. Sci. Comput. 38 (6) (2016)
David Sondak, John N. Shadid, Assad A. Oberai, Roger P. Pawlowski, Eric C. Cyr, T. M. Smith
A new class of finite element variational multiscale turbulence models for incompressible magnetohydrodynamics. J. Comput. Phys. 295 (2015)
Edward G. Phillips, Howard C. Elman, Eric C. Cyr, John N. Shadid, Roger P. Pawlowski
A Block Preconditioner for an Exact Penalty Formulation for Stationary MHD. SIAM J. Sci. Comput. 36 (6) (2014)
Eric C. Cyr, John N. Shadid, Tim Wildey
Approaches for Adjoint-Based A Posteriori Analysis of Stabilized Finite Element Methods. SIAM J. Sci. Comput. 36 (2) (2014)
Jehanzeb Hameed Chaudhry, Eric C. Cyr, Kuo Liu, Thomas A. Manteuffel, Luke N. Olson, Lei Tang
Enhancing Least-Squares Finite Element Methods Through a Quantity-of-Interest. SIAM J. Numer. Anal. 52 (6) (2014)
Paul T. Lin, Matthew T. Bettencourt, Stefan Domino, Travis Fisher, Mark Hoemmen, Jonathan J. Hu, Eric T. Phipps, Andrey Prokopenko, Sivasankaran Rajamanickam, Christopher M. Siefert, Eric C. Cyr, Stephen Kennon
Towards Extreme-Scale Simulations with Next-Generation Trilinos: A Low Mach Fluid Application Case Study. IPDPS Workshops (2014)
Eric C. Cyr, John N. Shadid, Raymond S. Tuminaro, Roger P. Pawlowski, Luis Chacón
A New Approximate Block Factorization Preconditioner for Two-Dimensional Incompressible (Reduced) Resistive MHD. SIAM J. Sci. Comput. 35 (3) (2013)
Burak Aksoylu, Stephen D. Bond, Eric C. Cyr, Michael Holst
Goal-Oriented Adaptivity and Multilevel Preconditioning for the Poisson-Boltzmann Equation. J. Sci. Comput. 52 (1) (2012)
Eric C. Cyr, John N. Shadid, Raymond S. Tuminaro
Stabilization and scalable block preconditioning for the Navier-Stokes equations. J. Comput. Phys. 231 (2) (2012)
Stephen D. Bond, Jehanzeb Hameed Chaudhry, Eric C. Cyr, Luke N. Olson
A first-order system least-squares finite element method for the Poisson-Boltzmann equation. J. Comput. Chem. 31 (8) (2010)
Eric C. Cyr, Stephen D. Bond
Using the method of weighted residuals to compute potentials of mean force. J. Comput. Phys. 225 (1) (2007)
J. Barr von Oehsen, Christopher L. Cox, Eric C. Cyr, Brian A. Malloy
Using Design Patterns and XML to Construct an Extensible Finite Element System. International Conference on Computational Science (3) (2002)