Fast, Adaptively Refined Computational Elements in 3D. - Craig C. Douglas; Jonathan J. Hu; Jaideep Ray; Danny Thorne; Ray S. Tuminaro (International Conference on Computational Science (3), 2002)

An Improved Algebraic Multigrid Method for Solving Maxwell's Equations. - Pavel B. Bochev; Christopher J. Garasi; Jonathan J. Hu; Allen C. Robinson; Raymond S. Tuminaro (SIAM J. Sci. Comput., 2003)

Cache aware multigrid for variable coefficient elliptic problems on adaptive mesh refinement hierarchies. - Craig C. Douglas; Jonathan J. Hu; Jaideep Ray; Danny Thorne; Ray S. Tuminaro (Numer. Linear Algebra Appl., 2004)

An overview of the Trilinos project. - 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; et al. (ACM Trans. Math. Softw., 2005)

A Survey of Parallelization Techniques for Multigrid Solvers. - Edmond Chow; Robert D. Falgout; Jonathan J. Hu; Raymond S. Tuminaro; Ulrike Meier Yang (Parallel Processing for Scientific Computing, 2006)

Toward an h-Independent Algebraic Multigrid Method for Maxwell's Equations. - Jonathan J. Hu; Ray S. Tuminaro; Pavel B. Bochev; Christopher J. Garasi; Allen C. Robinson (SIAM J. Sci. Comput., 2006)

An Algebraic Multigrid Approach Based on a Compatible Gauge Reformulation of Maxwell's Equations. - Pavel B. Bochev; Jonathan J. Hu; Christopher M. Siefert; Raymond S. Tuminaro (SIAM J. Sci. Comput., 2008)

A new smoothed aggregation multigrid method for anisotropic problems. - Michael W. Gee; Jonathan J. Hu; Raymond S. Tuminaro (Numer. Linear Algebra Appl., 2009)

Algebraic Multigrid. - Marian Brezina; Jonathan J. Hu; Ray S. Tuminaro (Encyclopedia of Parallel Computing, 2011)

Design considerations for a flexible multigrid preconditioning library. - Jérémie Gaidamour; Jonathan J. Hu; Christopher M. Siefert; Ray S. Tuminaro (Sci. Program., 2012)

Towards Extreme-Scale Simulations with Next-Generation Trilinos: A Low Mach Fluid Application Case Study. - 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 (IPDPS Workshops, 2014)

Exploring emerging manycore architectures for uncertainty quantification through embedded stochastic Galerkin methods. - Eric T. Phipps; Jonathan J. Hu; Jakob T. Ostien (Int. J. Comput. Math., 2014)

Spatially adaptive stochastic methods for fluid-structure interactions subject to thermal fluctuations in domains with complex geometries. - Pat Plunkett; Jonathan J. Hu; Christopher M. Siefert; Paul J. Atzberger (J. Comput. Phys., 2014)

Towards Extreme-Scale Simulations for Low Mach Fluids with Second-Generation Trilinos. - 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 (Parallel Process. Lett., 2014)

Reducing Communication Costs for Sparse Matrix Multiplication within Algebraic Multigrid. - Grey Ballard; Christopher M. Siefert; Jonathan J. Hu (SIAM J. Sci. Comput., 2016)

Embedded Ensemble Propagation for Improving Performance, Portability, and Scalability of Uncertainty Quantification on Emerging Computational Architectures. - Eric T. Phipps; Marta D'Elia; H. Carter Edwards; Mark Hoemmen; Jonathan J. Hu; Sivasankaran Rajamanickam (SIAM J. Sci. Comput., 2017)

Performance of fully-coupled algebraic multigrid preconditioners for large-scale VMS resistive MHD. - Paul T. Lin; John N. Shadid; Jonathan J. Hu; Roger P. Pawlowski; Eric C. Cyr (J. Comput. Appl. Math., 2018)

Ensemble Grouping Strategies for Embedded Stochastic Collocation Methods Applied to Anisotropic Diffusion Problems. - Marta D'Elia; H. Carter Edwards; Jonathan J. Hu; Eric T. Phipps; Sivasankaran Rajamanickam (SIAM/ASA J. Uncertain. Quantification, 2018)

A Comparison of Classical and Aggregation-Based Algebraic Multigrid Preconditioners for High-Fidelity Simulation of Wind Turbine Incompressible Flows. - Stephen J. Thomas; Shreyas Ananthan; Shashank Yellapantula; Jonathan J. Hu; Michael Lawson; Mary Ann Sprague (SIAM J. Sci. Comput., 2019)

A Monolithic Algebraic Multigrid Framework for Multiphysics Applications with Examples from Resistive MHD. - Peter Ohm; Tobias A. Wiesner; Eric C. Cyr; Jonathan J. Hu; John N. Shadid; Raymond S. Tuminaro (CoRR, 2021)

Smooth Aggregation for Difficult Stretched Mesh and Coefficient Variation Problems. - Jonathan J. Hu; Christopher M. Siefert; Raymond S. Tuminaro (CoRR, 2021)

Two-Stage Gauss-Seidel Preconditioners and Smoothers for Krylov Solvers on a GPU cluster. - Luc Berger-Vergiat; Brian Kelley; Sivasankaran Rajamanickam; Jonathan J. Hu; Katarzyna Swirydowicz; Paul Mullowney; Stephen J. Thomas; Ichitaro Yamazaki (CoRR, 2021)

Smoothed aggregation for difficult stretched mesh and coefficient variation problems. - Jonathan J. Hu; Christopher M. Siefert; Raymond S. Tuminaro (Numer. Linear Algebra Appl., 2022)

Latency and Bandwidth Microbenchmarks of Six US Department of Energy Systems in the Top500. - Carl Pearson; Christopher M. Siefert; Stephen L. Olivier; Andrey Prokopenko; Timothy J. Fuller; Jonathan J. Hu (CLUSTER Workshops, 2023)

Latency and Bandwidth Microbenchmarks of US Department of Energy Systems in the June 2023 Top 500 List. - Christopher M. Siefert; Carl Pearson; Stephen L. Olivier; Andrey Prokopenko; Jonathan J. Hu; Timothy J. Fuller (SC Workshops, 2023)

Scalable Multiphysics Block Preconditioning for Low Mach Number Compressible Resistive MHD with Application to Magnetic Confinement Fusion. - Peter Ohm; Jesús Bonilla; Edward G. Phillips; John N. Shadid; Michael M. Crockatt; Ray S. Tuminaro; Jonathan J. Hu; Xian-Zhu Tang (SIAM J. Sci. Comput., 2024)

Trilinos: Enabling Scientific Computing Across Diverse Hardware Architectures at Scale. - Matthias Mayr; Alexander Heinlein; Christian A. Glusa; Siva Rajamanickam; Maarten Arnst; Roscoe A. Bartlett; Luc Berger-Vergiat; Erik G. Boman; Karen D. Devine; Graham Harper; Michael A. Heroux; Mark Hoemmen; et al. (CoRR, 2025)