J. David Moulton

According to our database, J. David Moulton authored at least 28 papers between 1998 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A cast of thousands: How the IDEAS Productivity project has advanced software productivity and sustainability.

Lois Curfman McInnes, Michael A. Heroux, David E. Bernholdt, Anshu Dubey, Elsa Gonsiorowski, Rinku Gupta, Osni Marques, J. David Moulton, Hai Ah Nam, Boyana Norris, Elaine M. Raybourn, James M. Willenbring, Ann S. Almgren, Ross Bartlett, Kita Cranfill, Stephen Fickas, Don Frederick, William F. Godoy, Patricia Grubel, Rebecca Hartman-Baker, Axel Huebl, Rose Lynch, Addi Malviya-Thakur, Reed Milewicz, Mark C. Miller, Miranda Mundt, Erik Palmer, Suzanne Parete-Koon, Megan Phinney, Katherine Riley, David M. Rogers, Benjamin H. Sims, Deborah Stevens, Gregory R. Watson

CoRR, 2023

2022

Tausch: A halo exchange library for large heterogeneous computing systems using MPI, OpenCL, and CUDA.

Lukas Spies, Amanda Bienz, J. David Moulton, Luke N. Olson, Andrew Reisner

Parallel Comput., 2022

Flow and transport in three-dimensional discrete fracture matrix models using mimetic finite difference on a conforming multi-dimensional mesh.

Jeffrey D. Hyman, Matthew R. Sweeney, Carl W. Gable, Daniil Svyatsky, Konstantin Lipnikov, J. David Moulton

J. Comput. Phys., 2022

2021

Flow and Transport in Three-Dimensional Discrete Fracture Matrix Models using Mimetic Finite Difference on a Conforming Multi-Dimensional Mesh.

Jeffrey D. Hyman, Matthew R. Sweeney, Carl W. Gable, Daniil Svyatskiy, Konstantin Lipnikov, J. David Moulton

CoRR, 2021

2020

Scalable line and plane relaxation in a parallel structured multigrid solver.

Andrew Reisner, Markus Berndt, J. David Moulton, Luke N. Olson

Parallel Comput., 2020

Testing Research Software: A Case Study.

Nasir U. Eisty, Danny Perez, Jeffrey C. Carver, J. David Moulton, Hai Ah Nam

Proceedings of the Computational Science - ICCS 2020, 2020

2019

Lightweight Software Process Improvement Using Productivity and Sustainability Improvement Planning (PSIP).

Michael A. Heroux, Elsa Gonsiorowski, Rinku Gupta, Reed Milewicz, J. David Moulton, Gregory R. Watson, James M. Willenbring, Richard J. Zamora, Elaine M. Raybourn

Proceedings of the Tools and Techniques for High Performance Computing, 2019

Scaling Productivity and Innovation on the Path to Exascale with a "Team of Teams" Approach.

Elaine M. Raybourn, J. David Moulton, Aimee Hungerford

Proceedings of the HCI in Business, Government and Organizations. Information Systems and Analytics, 2019

Correction to: Scaling Productivity and Innovation on the Path to Exascale with a "Team of Teams" Approach.

Elaine M. Raybourn, J. David Moulton, Aimee Hungerford

Proceedings of the HCI in Business, Government and Organizations. Information Systems and Analytics, 2019

2018

Scaling Structured Multigrid to 500K+ Cores Through Coarse-Grid Redistribution.

Andrew Reisner, Luke N. Olson, J. David Moulton

SIAM J. Sci. Comput., 2018

2017

xSDK Foundations: Toward an Extreme-scale Scientific Software Development Kit.

Roscoe A. Bartlett, Irina Demeshko, Todd Gamblin, Glenn Hammond, Michael A. Heroux, Jeffrey Johnson, Alicia M. Klinvex, Xiaoye S. Li, Lois Curfman McInnes, J. David Moulton, Daniel Osei-Kuffuor, Jason Sarich, Barry Smith, James M. Willenbring, Ulrike Meier Yang

Supercomput. Front. Innov., 2017

Algebraic Multigrid Preconditioners for Multiphase Flow in Porous Media.

Quan M. Bui, Howard C. Elman, J. David Moulton

SIAM J. Sci. Comput., 2017

Convergence Analysis of the mimetic Finite Difference Method for Elliptic Problems with Staggered Discretizations of Diffusion Coefficients.

Gianmarco Manzini, Konstantin Lipnikov, J. David Moulton, Mikhail J. Shashkov

SIAM J. Numer. Anal., 2017

An electrostatic Particle-In-Cell code on multi-block structured meshes.

Collin S. Meierbachtol, Daniil Svyatskiy, Gian Luca Delzanno, Louis J. Vernon, J. David Moulton

J. Comput. Phys., 2017

2016

The mimetic finite difference method for elliptic and parabolic problems with a staggered discretization of diffusion coefficient.

Konstantin Lipnikov, Gianmarco Manzini, J. David Moulton, Mikhail J. Shashkov

J. Comput. Phys., 2016

Managing complexity in simulations of land surface and near-surface processes.

Ethan T. Coon, J. David Moulton, Scott L. Painter

Environ. Model. Softw., 2016

On the velocity space discretization for the Vlasov-Poisson system: Comparison between implicit Hermite spectral and Particle-in-Cell methods.

Enrico Camporeale, Gian Luca Delzanno, Benjamin K. Bergen, J. David Moulton

Comput. Phys. Commun., 2016

2014

A Hybrid HDMR for Mixed Multiscale Finite Element Methods with Application to Flows in Random Porous Media.

Lijian Jiang, J. David Moulton, Jia Wei

Multiscale Model. Simul., 2014

2012

Robust and adaptive multigrid methods: comparing structured and algebraic approaches.

Scott P. MacLachlan, J. David Moulton, Timothy P. Chartier

Numer. Linear Algebra Appl., 2012

Expanded Mixed Multiscale Finite Element Methods and Their Applications for Flows in Porous Media.

Lijian Jiang, Dylan Copeland, J. David Moulton

Multiscale Model. Simul., 2012

2011

Adaptive Strategies in the Multilevel Multiscale Mimetic (M³) Method for Two-Phase Flows in Porous Media.

Konstantin Lipnikov, J. David Moulton, Daniil Svyatskiy

Multiscale Model. Simul., 2011

2010

A multiscale multilevel mimetic (M³) method for well-driven flows in porous media.

Konstantin Lipnikov, J. David Moulton, Daniil Svyatskiy

Proceedings of the International Conference on Computational Science, 2010

Black Box Multigrid with coarsening by a factor of three.

Joel E. Dendy Jr., J. David Moulton

Numer. Linear Algebra Appl., 2010

2009

A Multilevel Multiscale Mimetic (M3) Method for an Anisotropic Infiltration Problem.

Konstantin Lipnikov, J. David Moulton, Daniil Svyatskiy

Proceedings of the Computational Science, 2009

2008

A multilevel multiscale mimetic (M³) method for two-phase flows in porous media.

Konstantin Lipnikov, J. David Moulton, Daniil Svyatskiy

J. Comput. Phys., 2008

Efficient nonlinear solvers for Laplace-Beltrami smoothing of three-dimensional unstructured grids.

Markus Berndt, J. David Moulton, Glen Hansen

Comput. Math. Appl., 2008

2001

Convergence of mimetic finite difference discretizations of the diffusion equation.

Markus Berndt, Konstantin Lipnikov, J. David Moulton, Mikhail J. Shashkov

J. Num. Math., 2001

1998

Approximate Schur Complement Preconditioning of the Lowest-Order Nodal Discretizations.

J. David Moulton, Jim E. Morel, Uri M. Ascher

SIAM J. Sci. Comput., 1998