Publications¶
Heldman, Max, Johann Rudi, and Julie Bessac. 2025. “Statistical Treatment of Variable MPI Latencies and MPI-Communication Hiding for Matrix-Free FEM.” ICS ’25: Proceedings of the 39th ACM International Conference on Supercomputing (Salt Lake City, UT, USA). https://doi.org/10.1145/3721145.3730413
Lee, Youngjun, Klaus Weide, Wesley Kwiecinski, Jared O’Neal, Johann Rudi, and Anshu Dubey. 2025. “ORCHA – a Performance Portability System for Post-Exascale Systems.” https://doi.org/10.48550/arXiv.2507.09337
Rudi, Johann, Youngjun Lee, Aidan H. Chadha, et al. 2025. “CG-Kit: Code Generation Toolkit for Performant and Maintainable Variants of Source Code Applied to Flash-X Hydrodynamics Simulations.” Future Generation Computer Systems 163: 107511. https://doi.org/10.1016/j.future.2024.107511
Villalobos, German, Johann Rudi, and Andreas Mang. 2025. “Neural Networks for Bayesian Inverse Problems Governed by Nonlinear ODEs.” https://doi.org/10.48550/arXiv.2510.14197
Getter, Daniel, Julie Bessac, Johann Rudi, and Yan Feng. 2024. “Statistical Treatment of Convolutional Neural Network Superresolution of Inland Surface Wind for Subgrid-Scale Variability Quantification.” Artificial Intelligence for the Earth Systems (Boston MA, USA) 3 (1): e230009. https://doi.org/10.1175/AIES-D-23-0009.1
Hu, Jiashun, Johann Rudi, Michael Gurnis, and Georg Stadler. 2024. “Constraining Earth’s Nonlinear Mantle Viscosity Using Plate-Boundary Resolving Global Inversions.” Proceedings of the National Academy of Sciences 121 (28): e2318706121. https://doi.org/10.1073/pnas.2318706121
Rudi, Johann, Max Heldman, Emil M. Constantinescu, Qi Tang, and Xian-Zhu Tang. 2024. “Scalable Implicit Solvers with Dynamic Mesh Adaptation for a Relativistic Drift-Kinetic Fokker–Planck–Boltzmann Model.” Journal of Computational Physics 507: 112954. https://doi.org/10.1016/j.jcp.2024.112954
Lenzi, Amanda, Julie Bessac, Johann Rudi, and Michael L. Stein. 2023. “Neural Networks for Parameter Estimation in Intractable Models.” Computational Statistics & Data Analysis 185 (C). https://doi.org/10.1016/j.csda.2023.107762
Jackson, Clayton, Matthieu Chardon, Y. Curtis Wang, et al. 2023. “Multimodal Parameter Inference for a Canonical Motor Microcircuit Controlling Rat Hindlimb Motion.” In Biomimetic and Biohybrid Systems, edited by Fabian Meder, Alexander Hunt, Laura Margheri, Anna Mura, and Barbara Mazzolai. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-39504-8_3
Dubey, Anshu, Klaus Weide, Jared O’Neal, et al. 2022. “Flash-X: A Multiphysics Simulation Software Instrument.” SoftwareX 19: 101168. https://doi.org/10.1016/j.softx.2022.101168
Hu, Jiashun, Michael Gurnis, Johann Rudi, Georg Stadler, and R. Dietmar Müller. 2022. “Dynamics of the Abrupt Change in Pacific Plate Motion Around 50 Ma.” Nature Geoscience 15: 74–78. https://doi.org/10.1038/s41561-021-00862-6
Rudi, Johann, Julie Bessac, and Amanda Lenzi. 2022. “Parameter Estimation with Dense and Convolutional Neural Networks Applied to the FitzHugh–Nagumo ODE.” In Proceedings of the 2nd Mathematical and Scientific Machine Learning Conference, edited by Joan Bruna, Jan Hesthaven, and Lenka Zdeborova, vol. 145. Proceedings of Machine Learning Research. PMLR. https://proceedings.mlr.press/v145/rudi22a.html
Rudi, Johann, Michael Gurnis, and Georg Stadler. 2022. “Simultaneous Inference of Plate Boundary Stresses and Mantle Rheology Using Adjoints: Large-Scale 2-D Models.” Geophysical Journal International 231 (1): 597–614. https://doi.org/10.1093/gji/ggac207
Wang, Y. Curtis, Johann Rudi, James Velasco, et al. 2022. “Multimodal Parameter Spaces of a Complex Multi-Channel Neuron Model.” Frontiers in Systems Neuroscience 16. https://doi.org/10.3389/fnsys.2022.999531
Rudi, Johann, Yu-Hsuan Shih, and Georg Stadler. 2020. “Advanced Newton Methods for Geodynamical Models of Stokes Flow with Viscoplastic Rheologies.” Geochemistry, Geophysics, Geosystems 21 (9). https://doi.org/10.1029/2020GC009059
Rudi, Johann, Georg Stadler, and Omar Ghattas. 2017. “Weighted BFBT Preconditioner for Stokes Flow Problems with Highly Heterogeneous Viscosity.” SIAM Journal on Scientific Computing 39 (5): S272–97. https://doi.org/10.1137/16M108450X
Rudi, Johann, A. Cristiano I. Malossi, Tobin Isaac, et al. 2015. “An Extreme-Scale Implicit Solver for Complex PDEs: Highly Heterogeneous Flow in Earth’s Mantle.” SC15: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 5:1–12. https://doi.org/10.1145/2807591.2807675
Sundar, Hari, George Biros, Carsten Burstedde, Johann Rudi, Omar Ghattas, and Georg Stadler. 2012. “Parallel Geometric-Algebraic Multigrid on Unstructured Forests of Octrees.” SC12: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis. https://doi.org/10.1109/SC.2012.91
Rudi, Johann, Ronald Pabel, Gabriela Jager, Robin Koch, Angela Kunoth, and Heye Bogena. 2010. “Multiscale Analysis of Hydrologic Time Series Data Using the Hilbert–Huang Transform.” Vadose Zone Journal 9 (4): 925–42. https://doi.org/10.2136/vzj2009.0163