Publications

Advanced Search

Results 26–50 of 183

Scope

Center for Computing Research

All Sandia Publications

Publication Type

Author

Funding Source

Current Filters Clear all

Remove author filter×

Publication	Type	Year
FROSch Preconditioners for Land Ice Simulations of Greenland and Antarctica Alexander Heinlein, Mauro Perego, Sivasankaran Rajamanickam https://www.osti.gov/search/identifier:1763446	Report – 2021 Report	2021
FROSch Preconditioners for Land Ice Simulations of Greenland and Antarctica 26th International Domain Decomposition Conference Alexander Heinlein, Mauro Perego, Sivasankaran Rajamanickam https://www.osti.gov/search/identifier:1835979	Conference Presentation – 2020 Conference Presentation	2020
Diagnosing the sensitivity of grounding-line flux to changes in sub-ice-shelf melting The Cryosphere Tong Zhang, Stephen Price, Matthew Hoffman, Mauro Perego, Xylar Asay-Davis https://www.osti.gov/search/identifier:1725840	Journal Article – 2020 Journal Article	2020
Robust Training and Initialization of Deep Neural Networks An Adaptive Basis Viewpoint Princeton MSML meeting Eric Christopher Cyr, Mamikon Gulian, Ravi Ghanshyam Patel, Mauro Perego, Nathaniel Albert Trask https://www.osti.gov/search/identifier:1810691	Conference Paper – 2020 Conference Paper	2020
Robust training and initialization of deep neural networks: an adaptive basis viewpoint 2020 Siam-caims An20 Mamikon Gulian, Eric Christopher Cyr, Ravi Ghanshyam Patel, Mauro Perego, Nathaniel Albert Trask https://www.osti.gov/search/identifier:1808257	Conference Paper – 2020 Conference Paper	2020
Albany Land Ice (ALI) model, focus on optimization capability Albany Users Meeting Mauro Perego https://www.osti.gov/search/identifier:1764106	Presentation (non-conference) – 2020 Presentation (non-conference)	2020
Ice Sheet Initialization Mathematical Modelling in Glaciology BIRS Workshop Mauro Perego https://www.osti.gov/search/identifier:1763617	Conference Paper – 2020 Conference Paper	2020
Field reconstruction from Raviart-Thomas, Nedelec, and finite volume degrees-of-freedom using Generalized Moving Least Squares Joint Mathematics Meeting Paul Allen Kuberry, Mauro Perego, Nathaniel Albert Trask, Pavel B. Bochev https://www.osti.gov/search/identifier:1761038	Conference Paper – 2020 Conference Paper	2020
Trilinos Discretizations Product Update Trilinos User Group Meeting Mauro Perego https://www.osti.gov/search/identifier:1760975	Presentation (non-conference) – 2020 Presentation (non-conference)	2020
Improved Neural Network Training: Layer-Parallelism, Least-squares and Initialization International Workshop On Scientific Machine Learning Eric Christopher Cyr, Mamikon Gulian, Ravi Ghanshyam Patel, Mauro Perego, Nathaniel Albert Trask, Denis Ridzal, Stefanie Guenther (LLNL), Lars Ruthotto (Emory), Jacob B. Schroder (UNM), Nico R. Gauger (TU Kaiserslautern) https://www.osti.gov/search/identifier:1643364	Conference Paper – 2019 Conference Paper	2019
Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint Mathematical and Scientific Machine Learning Conference Eric Christopher Cyr, Mamikon Gulian, Ravi Ghanshyam Patel, Mauro Perego, Nathaniel Albert Trask https://www.osti.gov/search/identifier:1643463	Conference Paper – 2019 Conference Paper	2019
Improved Neural Network Training: Layer-Parallelism, Least-squares and Initialization International Workshop on Scientific Machine Learning Eric Christopher Cyr, Mamikon Gulian, Ravi Ghanshyam Patel, Mauro Perego, Nathaniel Albert Trask, Stefanie (LLNL) Guenther, Lars (Emory University) Ruthotto, Jacob B Schroder, (UNM), Nico R. (TU Kaiserslautern) Gauger	Abstract – 2019 Abstract	2019
Initialization of the thermo-mechanical state of an ice sheet model Seminar at University of Montana Mauro Perego https://www.osti.gov/search/identifier:1681090	Presentation (non-conference) – 2019 Presentation (non-conference)	2019
Compatible Particle Discretizations. Final LDRD Report Pavel B. Bochev, Peter Andrew Bosler, Paul Allen Kuberry, Mauro Perego, Kara J. Peterson, Nathaniel Albert Trask https://www.osti.gov/search/identifier:1569143	SAND Report – 2019 SAND Report	2019
Mimetic meshfree methods or how to be compatible without a mesh 9th International Conference on Numerical Methods for Multi-Material Fluid Flow Pavel B. Bochev, Nathaniel Albert Trask, Mauro Perego https://www.osti.gov/search/identifier:1641675	Conference Paper – 2019 Conference Paper	2019
The amazing powers of Generalized Moving Least-Squares Minimum Residual & Least-Squares Finite Element Methods Pavel B. Bochev, Paul Allen Kuberry, Nathaniel Albert Trask, Mauro Perego https://www.osti.gov/search/identifier:1641676	Conference Paper – 2019 Conference Paper	2019
A meshfree mimetic divergence operator Pavel B. Bochev, Nathaniel Albert Trask, Mauro Perego https://www.osti.gov/search/identifier:1763214	Report – 2019 Report	2019
A Parallel Graph Algorithm for Detecting Mesh Singularities in Distributed Memory Ice Sheet Simulations International Conference on Parallel Processing Ian Bogle, Karen D. Devine, Mauro Perego, Sivasankaran Rajamanickam, George M. Slota https://www.osti.gov/search/identifier:1641477	Conference Paper – 2019 Conference Paper	2019
The amazing powers of Generalized Moving Least-Squares Minimum Residual & Least-Squares Finite Element Methods Pavel B. Bochev, Nathaniel Albert Trask, Paul Allen Kuberry, Mauro Perego	Abstract – 2019 Abstract	2019
FASTMath: Kokkos Kernels and Linear Solvers SciDAC PI meeting Sivasankaran Rajamanickam, Ian Bogle, Jonathan J. Hu, Karen D. Devine, George M. Slota, Mauro Perego, Kyungjoo Kim https://www.osti.gov/search/identifier:1641222	Conference Paper – 2019 Conference Paper	2019
Generalized Moving Least Squares: Approximation Theory and Applications Seminar at Humboldt University, Berlin Mauro Perego, Pavel B. Bochev, Paul Allen Kuberry, Nathaniel Albert Trask https://www.osti.gov/search/identifier:1645573	Presentation (non-conference) – 2019 Presentation (non-conference)	2019
The Compadre Toolkit for Native Degrees-of-Freedom 2019 Scientific Discovery through Advanced Computing Principal Investigator (PI) Meeting Paul Allen Kuberry, Mauro Perego, Nathaniel Albert Trask, Pavel B. Bochev https://www.osti.gov/search/identifier:1641034	Conference Paper – 2019 Conference Paper	2019
A Parallel Graph Algorithm for Detecting Mesh Singularities in Distributed Memory Ice Sheet Simulations International Conference on Parallel Processing Ian Bogle, Karen D. Devine, Mauro Perego, Sivasankaran Rajamanickam, George M. Slota https://www.osti.gov/search/identifier:1640814	Conference Paper – 2019 Conference Paper	2019
Discretization and Assembly using Intrepid2 and Tpetra European Trilinos User Group Meeting Mauro Perego https://www.osti.gov/search/identifier:1640745	Conference Paper – 2019 Conference Paper	2019
Optimization-based, property-preserving finite element methods for scalar advection equations and their connection to Algebraic Flux Correction Comp. Meth. Application. Mech. Engrg. (CMAME) Pavel B. Bochev, Pavel B. Bochev, Denis Ridzal, Denis Ridzal, Marta D'Elia, Marta D'Elia, Mauro Perego, Mauro Perego, Kara J. Peterson, Kara J. Peterson https://www.osti.gov/search/identifier:1644056	Journal Article – 2019 Journal Article	2019
Document Title	Type	Year

Results 26–50 of 183

Publications

FROSch Preconditioners for Land Ice Simulations of Greenland and Antarctica

FROSch Preconditioners for Land Ice Simulations of Greenland and Antarctica

Diagnosing the sensitivity of grounding-line flux to changes in sub-ice-shelf melting

Robust Training and Initialization of Deep Neural Networks An Adaptive Basis Viewpoint

Robust training and initialization of deep neural networks: an adaptive basis viewpoint

Albany Land Ice (ALI) model, focus on optimization capability

Ice Sheet Initialization

Field reconstruction from Raviart-Thomas, Nedelec, and finite volume degrees-of-freedom using Generalized Moving Least Squares

Trilinos Discretizations Product Update

Improved Neural Network Training: Layer-Parallelism, Least-squares and Initialization

Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint

Improved Neural Network Training: Layer-Parallelism, Least-squares and Initialization

Initialization of the thermo-mechanical state of an ice sheet model

Compatible Particle Discretizations. Final LDRD Report

Mimetic meshfree methods or how to be compatible without a mesh

The amazing powers of Generalized Moving Least-Squares

A meshfree mimetic divergence operator

A Parallel Graph Algorithm for Detecting Mesh Singularities in Distributed Memory Ice Sheet Simulations

The amazing powers of Generalized Moving Least-Squares

FASTMath: Kokkos Kernels and Linear Solvers

Generalized Moving Least Squares: Approximation Theory and Applications

The Compadre Toolkit for Native Degrees-of-Freedom

A Parallel Graph Algorithm for Detecting Mesh Singularities in Distributed Memory Ice Sheet Simulations

Discretization and Assembly using Intrepid2 and Tpetra

Optimization-based, property-preserving finite element methods for scalar advection equations and their connection to Algebraic Flux Correction