Jonathan J. Hu
Orcid: 0000-0003-4636-3619
According to our database1,
Jonathan J. Hu
authored at least 25 papers
between 2002 and 2023.
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Bibliography
2023
Latency and Bandwidth Microbenchmarks of US Department of Energy Systems in the June 2023 Top 500 List.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023
Latency and Bandwidth Microbenchmarks of Six US Department of Energy Systems in the Top500.
Proceedings of the IEEE International Conference on Cluster Computing, 2023
2022
Smoothed aggregation for difficult stretched mesh and coefficient variation problems.
Numer. Linear Algebra Appl., 2022
2021
Two-Stage Gauss-Seidel Preconditioners and Smoothers for Krylov Solvers on a GPU cluster.
CoRR, 2021
CoRR, 2021
A Monolithic Algebraic Multigrid Framework for Multiphysics Applications with Examples from Resistive MHD.
CoRR, 2021
2019
A Comparison of Classical and Aggregation-Based Algebraic Multigrid Preconditioners for High-Fidelity Simulation of Wind Turbine Incompressible Flows.
SIAM J. Sci. Comput., 2019
2018
Ensemble Grouping Strategies for Embedded Stochastic Collocation Methods Applied to Anisotropic Diffusion Problems.
SIAM/ASA J. Uncertain. Quantification, 2018
Performance of fully-coupled algebraic multigrid preconditioners for large-scale VMS resistive MHD.
J. Comput. Appl. Math., 2018
2017
Embedded Ensemble Propagation for Improving Performance, Portability, and Scalability of Uncertainty Quantification on Emerging Computational Architectures.
SIAM J. Sci. Comput., 2017
2016
Reducing Communication Costs for Sparse Matrix Multiplication within Algebraic Multigrid.
SIAM J. Sci. Comput., 2016
2014
Towards Extreme-Scale Simulations for Low Mach Fluids with Second-Generation Trilinos.
Parallel Process. Lett., 2014
Spatially adaptive stochastic methods for fluid-structure interactions subject to thermal fluctuations in domains with complex geometries.
J. Comput. Phys., 2014
Exploring emerging manycore architectures for uncertainty quantification through embedded stochastic Galerkin methods.
Int. J. Comput. Math., 2014
Towards Extreme-Scale Simulations with Next-Generation Trilinos: A Low Mach Fluid Application Case Study.
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014
2012
Sci. Program., 2012
2011
2009
Numer. Linear Algebra Appl., 2009
2008
An Algebraic Multigrid Approach Based on a Compatible Gauge Reformulation of Maxwell's Equations.
SIAM J. Sci. Comput., 2008
2006
SIAM J. Sci. Comput., 2006
Proceedings of the Parallel Processing for Scientific Computing, 2006
2005
2004
Cache aware multigrid for variable coefficient elliptic problems on adaptive mesh refinement hierarchies.
Numer. Linear Algebra Appl., 2004
2003
SIAM J. Sci. Comput., 2003
2002
Proceedings of the Computational Science - ICCS 2002, 2002