Jonathan J. Hu

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 11

Top Topics

Reduce Communication Cost

Stochastic Methods

Spatially Adaptive

Top Venues

SIAM J. Sci. Comput.

SIAM/ASA J. Uncertain. Quantification

J. Comput. Phys.

Publications

Carl Pearson, Christopher M. Siefert, Stephen L. Olivier, Andrey Prokopenko, Timothy J. Fuller, Jonathan J. Hu
Latency and Bandwidth Microbenchmarks of Six US Department of Energy Systems in the Top500. CLUSTER Workshops (2023)
Christopher M. Siefert, Carl Pearson, Stephen L. Olivier, Andrey Prokopenko, Jonathan J. Hu, Timothy J. Fuller
Latency and Bandwidth Microbenchmarks of US Department of Energy Systems in the June 2023 Top 500 List. SC Workshops (2023)
Jonathan J. Hu, Christopher M. Siefert, Raymond S. Tuminaro
Smoothed aggregation for difficult stretched mesh and coefficient variation problems. Numer. Linear Algebra Appl. 29 (6) (2022)
Jonathan J. Hu, Christopher M. Siefert, Raymond S. Tuminaro
Smooth Aggregation for Difficult Stretched Mesh and Coefficient Variation Problems. 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)
Luc Berger-Vergiat, Brian Kelley, Sivasankaran Rajamanickam, Jonathan J. Hu, Katarzyna Swirydowicz, Paul Mullowney, Stephen J. Thomas, Ichitaro Yamazaki
Two-Stage Gauss-Seidel Preconditioners and Smoothers for Krylov Solvers on a GPU cluster. CoRR (2021)
Stephen J. Thomas, Shreyas Ananthan, Shashank Yellapantula, Jonathan J. Hu, Michael Lawson, Mary Ann Sprague
A Comparison of Classical and Aggregation-Based Algebraic Multigrid Preconditioners for High-Fidelity Simulation of Wind Turbine Incompressible Flows. SIAM J. Sci. Comput. 41 (5) (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)
Marta D'Elia, H. Carter Edwards, Jonathan J. Hu, Eric T. Phipps, Sivasankaran Rajamanickam
Ensemble Grouping Strategies for Embedded Stochastic Collocation Methods Applied to Anisotropic Diffusion Problems. SIAM/ASA J. Uncertain. Quantification 6 (1) (2018)
Eric T. Phipps, Marta D'Elia, H. Carter Edwards, Mark Hoemmen, Jonathan J. Hu, Sivasankaran Rajamanickam
Embedded Ensemble Propagation for Improving Performance, Portability, and Scalability of Uncertainty Quantification on Emerging Computational Architectures. SIAM J. Sci. Comput. 39 (2) (2017)
Grey Ballard, Christopher M. Siefert, Jonathan J. Hu
Reducing Communication Costs for Sparse Matrix Multiplication within Algebraic Multigrid. SIAM J. Sci. Comput. 38 (3) (2016)
Eric T. Phipps, Marta D'Elia, H. Carter Edwards, Mark Hoemmen, Jonathan J. Hu, Sivasankaran Rajamanickam
Embedded Ensemble Propagation for Improving Performance, Portability and Scalability of Uncertainty Quantification on Emerging Computational Architectures. CoRR (2015)
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)
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, Stephen Kennon
Towards Extreme-Scale Simulations for Low Mach Fluids with Second-Generation Trilinos. Parallel Process. Lett. 24 (4) (2014)
Pat Plunkett, Jonathan J. Hu, Christopher M. Siefert, Paul J. Atzberger
Spatially adaptive stochastic methods for fluid-structure interactions subject to thermal fluctuations in domains with complex geometries. J. Comput. Phys. 277 (2014)
Eric T. Phipps, Jonathan J. Hu, Jakob T. Ostien
Exploring emerging manycore architectures for uncertainty quantification through embedded stochastic Galerkin methods. Int. J. Comput. Math. 91 (4) (2014)
Jérémie Gaidamour, Jonathan J. Hu, Christopher M. Siefert, Ray S. Tuminaro
Design considerations for a flexible multigrid preconditioning library. Sci. Program. 20 (3) (2012)
Michael W. Gee, Jonathan J. Hu, Raymond S. Tuminaro
A new smoothed aggregation multigrid method for anisotropic problems. Numer. Linear Algebra Appl. 16 (1) (2009)
Pavel B. Bochev, Jonathan J. Hu, Christopher M. Siefert, Raymond S. Tuminaro
An Algebraic Multigrid Approach Based on a Compatible Gauge Reformulation of Maxwell's Equations. SIAM J. Sci. Comput. 31 (1) (2008)
Jonathan J. Hu, Ray S. Tuminaro, Pavel B. Bochev, Christopher J. Garasi, Allen C. Robinson
Toward an h-Independent Algebraic Multigrid Method for Maxwell's Equations. SIAM J. Sci. Comput. 27 (5) (2006)
Michael A. Heroux, Roscoe A. Bartlett, Vicki E. Howle, Robert J. Hoekstra, Jonathan J. Hu, Tamara G. Kolda, Richard B. Lehoucq, Kevin R. Long, Roger P. Pawlowski, Eric T. Phipps, Andrew G. Salinger, Heidi Thornquist, Ray S. Tuminaro, James M. Willenbring, Alan B. Williams, Kendall S. Stanley
An overview of the Trilinos project. ACM Trans. Math. Softw. 31 (3) (2005)
Craig C. Douglas, Jonathan J. Hu, Jaideep Ray, Danny Thorne, Ray S. Tuminaro
Cache aware multigrid for variable coefficient elliptic problems on adaptive mesh refinement hierarchies. Numer. Linear Algebra Appl. 11 (2-3) (2004)
Pavel B. Bochev, Christopher J. Garasi, Jonathan J. Hu, Allen C. Robinson, Raymond S. Tuminaro
An Improved Algebraic Multigrid Method for Solving Maxwell's Equations. SIAM J. Sci. Comput. 25 (2) (2003)
Craig C. Douglas, Jonathan J. Hu, Jaideep Ray, Danny Thorne, Ray S. Tuminaro
Fast, Adaptively Refined Computational Elements in 3D. International Conference on Computational Science (3) (2002)