Publications

Results 1–25 of 243
Date Inputs. Currently set to enter a start and end date.
Current Filters Clear all
  • Remove author filter×
Publication Type Year

A Two-Level Scheme for Training Partition of Unity Networks

27th International Domain Decomposition Conference

Eric Christopher Cyr, Nathaniel Albert Trask, Amelia Henriksen, Carianne Martinez

Conference Presentation – 2022 Conference Presentation 2022

A DPG Space-Time Vlasov-Poisson Discretization with Adaptive Mesh Refinement

SIAM Annual

Nathan V. Roberts, Stephen D Bond, Eric Christopher Cyr

Conference Presentation – 2022 Conference Presentation 2022

Neural-Network Based Collision Operators for the Boltzmann Equation

SIAM Annual Meeting 2022

Eric Christopher Cyr, Nathan V. Roberts, Stephen D Bond, Sean (AMD) Miller

Conference Presentation – 2022 Conference Presentation 2022

Preconditioners for Plasma Physics and Magnetohydrodynamics: Handling Multiple Timescales

Preconditioning 2022International Conference on Preconditioning Techniques for Scientific and Industrial Applications

Eric Christopher Cyr, John N. Shadid, Raymond S. Tuminaro

Conference Presentation – 2022 Conference Presentation 2022

Parallel-In-Time Training of Recurrent Neural Networks

Copper Mountain Conference on Iterative Methods

Eric Christopher Cyr, Gordon (KAU) Moon

Conference Presentation – 2022 Conference Presentation 2022

Learning an Algebriac Multrigrid Interpolation Operator Using a Modified GraphNet Architecture

Nicholas S. Moore (Texas Tech University), Eric Christopher Cyr, Christopher Siefert

https://www.osti.gov/search/identifier:1859673

SAND Report – 2022 SAND Report 2022

Coupling Kinetic PIC to Multi-Fluid Plasma Models using Compatible Discretizations

SIAM Parallel Processing 2022

Eric Christopher Cyr

Conference Presentation – 2022 Conference Presentation 2022

A DPG Space-Time Vlasov-Poisson Discretization with Adaptive Mesh Refinement

SIAM Annual

Nathan V. Roberts, Stephen D Bond, Eric Christopher Cyr

Abstract – 2022 Abstract 2022

Parallel Training of GRU Networks with a Multi-Grid Solver for Long Sequences

The Tenth International Conference on Learning Representations

Gordon Euhyun Moon (KAU), Eric Christopher Cyr

Conference Paper – 2022 Conference Paper 2022

A Monolithic Algebraic Multigrid Framework for Multiphysics Applications with Examples from Resistive MHD

Electronic Transactions on Numerical Analysis

Peter Brian Ohm, Jonathan J. Hu, John N. Shadid, Eric Christopher Cyr, Raymond S. Tuminaro, Tobias A. Wiesner

Journal Article – 2022 Journal Article 2022

Machine learning and spatial decomposition for large CT scans

IS&T Electronic Imaging 2022

Eric Christopher Cyr, Gary Joseph Saavedra

Conference Presentation – 2021 Conference Presentation 2021

The ASC Advanced Machine Learning Initiative at Sandia National Laboratories: FY21 Accomplishments and FY22 Plans

ASC AMLI Program Review

Ron A. Oldfield, Sharlotte LorraineBolyard Kramer, Ahmad Rushdi, Erin Acquesta, John M Emery, Paul Allen Kuberry, Jaideep Ray, Sarah Ackerman, Eric Christopher Cyr, Gary Joseph Saavedra, Clayton Hughes, Suma George Cardwell, John Darby Smith

Presentation (non-conference) – 2021 Presentation (non-conference) 2021

A Layer-Parallel Approach for Training Deep Neural Networks

Mathematical Foundations and Applications of Deep Learning

Eric Christopher Cyr, Stefanie Guenther (LLNL), Lars Ruthotto (Emory), Jacob B. Schroder (UNM), Nico R. Gauger (TU Kaiserslautern), Gordon Moon (KAU), Ravi Ghanshyam Patel

Conference Presentation – 2021 Conference Presentation 2021

Modal Operator Regression for Extracting Nonlocal Continuum Models

Usnccm16

Ravi Ghanshyam Patel, Nathaniel Albert Trask, Mitchell Wood, Eric Christopher Cyr

Conference Presentation – 2021 Conference Presentation 2021

Perfection is the Enemy of Fast: The Case for Mathematically Induced Parallelism

Computer Science Research Institute throughout our Summer Seminar Series

Eric Christopher Cyr

Presentation (non-conference) – 2021 Presentation (non-conference) 2021

A Layer-Parallel Approach for Training Deep Neural Networks

Fomics-dadsi Seminars On Scientific Learning

Eric Christopher Cyr, Stefanie Guenther (LLNL), Lars Ruthotto (Emory), Jacob B. Schroder (UNM), Nico R. Gauger (TU Kaiserslautern), Gordon Moon (KAU), Ravi Ghanshyam Patel

https://www.osti.gov/search/identifier:1872882

Presentation (non-conference) – 2021 Presentation (non-conference) 2021

An Adaptive Basis Perspective to Improve Initialization and Accelerate Training of DNNs

Fomics-dadsi Seminars On Scientific Learning

Eric Christopher Cyr, Mamikon Gulian, Kookjin Lee (ASU), Ravi Ghanshyam Patel, Mauro Perego, Nathaniel Albert Trask

https://www.osti.gov/search/identifier:1872708

Presentation (non-conference) – 2021 Presentation (non-conference) 2021

An Algebraic Monolithic Method for Volume-coupled Multiphysics Problems

The 9th ediiton of the International Conference on Computational Methods for Coupled Problems in Science and Engineering

Peter Brian Ohm, Raymond S. Tuminaro, Jonathan J. Hu, John N. Shadid, Eric Christopher Cyr, Tobias Wiesner

https://www.osti.gov/search/identifier:1872519

Conference Presentation – 2021 Conference Presentation 2021

Multiscale training for Physics-informed Neural Networks

Copper Mountain Conference On Multigrid Methods

Ravi Ghanshyam Patel, Nathaniel Albert Trask, Eric Christopher Cyr

https://www.osti.gov/search/identifier:1861255

Conference Presentation – 2021 Conference Presentation 2021

A Monolithic Algebraic Multigrid Approach for Coupled Multiphysics Problems using the MueLu Framework

Cm202120th Copper Mountain Conference On Multigrid Methods

Peter Brian Ohm, Raymond S. Tuminaro, John N. Shadid, Jonathan J. Hu, Tobias Wiesner, Eric Christopher Cyr

https://www.osti.gov/search/identifier:1861027

Conference Presentation – 2021 Conference Presentation 2021

Training Deep Neural Networks using Layer-Parallelism

CIS EAB Review

Eric Christopher Cyr

Presentation (non-conference) – 2021 Presentation (non-conference) 2021

A block coordinate descent optimizer for classification problems exploiting convexity

Aaai-mlps 2021

Mamikon Gulian, Ravi Ghanshyam Patel, Nathaniel Albert Trask, Eric Christopher Cyr

https://www.osti.gov/search/identifier:1855748

Conference Paper – 2021 Conference Paper 2021

EMPIRE-PIC: A Performance Portable Unstructured Particle-in-Cell Code

Communications in Computational Physics

Matthew Tyler Bettencourt, Dominic A. S. Brown, Keith L. Cartwright1, Eric Christopher Cyr, Christian Alexander Glusa, Paul T. Lin, Stan Gerald Moore, Duncan A. O. McGregor, Roger P. Pawlowski, Edward Geoffrey Phillips, Nathan V. Roberts, Steven A. Wright, Satheesh Maheswaran, John P. Jones, Stephen A. Jarvis

https://www.osti.gov/search/identifier:1822232

Journal Article – 2021 Journal Article 2021

A Physics-Informed Operator Regression Framework for Extracting Data-Driven Continuum Models

Siam Cse21

Ravi Ghanshyam Patel, Nathaniel Albert Trask, Mitchell Wood, Eric Christopher Cyr

https://www.osti.gov/search/identifier:1853856

Conference Presentation – 2021 Conference Presentation 2021

Thermodynamically consistent physics-informed neural networks for hyperbolic systems

SIAM Conference on Computational Science and Engineering

Indu Manickam, Ravi Ghanshyam Patel, Nathaniel Albert Trask, Mitchell Wood, Myoungkyu NMN Lee, Ignacio Tomas, Eric Christopher Cyr

https://www.osti.gov/search/identifier:1847572

Conference Presentation – 2021 Conference Presentation 2021
Document Title Type Year
Results 1–25 of 243