Johann Rudi

21 papers A 3Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
CG-Kit: Code Generation Toolkit for performant and maintainable variants of source code applied to Flash-X hydrodynamics simulations.
Future Gener. Comput. Syst.
Johann Rudi, Youngjun Lee, Aidan H. Chadha, Mohamed Wahib, Klaus Weide, Jared P. O'Neal, Anshu Dubey
2025 J jnl
Multidimensional Distributional Neural Network Output Demonstrated in Super-Resolution of Surface Wind Speed.
CoRR
Harrison J. Goldwyn, Mitchell Krock, Johann Rudi, Daniel Getter, Julie Bessac
2025 J jnl
Neural Networks for Bayesian Inverse Problems Governed by a Nonlinear ODE.
CoRR
German Villalobos, Johann Rudi, Andreas Mang
2025 J jnl
ORCHA - A Performance Portability System for Post-Exascale Systems.
CoRR
Youngjun Lee, Klaus Weide, Wesley Kwiecinski, Jared O'Neal, Johann Rudi, Anshu Dubey
2025 A conf
Statistical Treatment of Variable MPI Latencies and MPI-Communication Hiding for Matrix-Free Finite Element Operators.
ICS
Max Heldman, Johann Rudi, Julie Bessac
2024 J jnl
CG-Kit: Code Generation Toolkit for Performant and Maintainable Variants of Source Code Applied to Flash-X Hydrodynamics Simulations.
CoRR
Johann Rudi, Youngjun Lee, Aidan H. Chadha, Mohamed Wahib, Klaus Weide, Jared P. O'Neal, Anshu Dubey
2024 J jnl
Scalable implicit solvers with dynamic mesh adaptation for a relativistic drift-kinetic Fokker-Planck-Boltzmann model.
J. Comput. Phys.
Johann Rudi, Max Heldman, Emil M. Constantinescu, Qi Tang, Xian-Zhu Tang
2023 — conf
Multimodal Parameter Inference for a Canonical Motor Microcircuit Controlling Rat Hindlimb Motion.
Living Machines (2)
Clayton Jackson, Matthieu Chardon, Y. Curtis Wang, Johann Rudi, Matthew C. Tresch, Charles J. Heckman, Roger D. Quinn
2023 J jnl
Neural networks for parameter estimation in intractable models.
Comput. Stat. Data Anal.
Amanda Lenzi, Julie Bessac, Johann Rudi, Michael L. Stein
2023 J jnl
Scalable Implicit Solvers with Dynamic Mesh Adaptation for a Relativistic Drift-Kinetic Fokker-Planck-Boltzmann Model.
CoRR
Johann Rudi, Max Heldman, Emil M. Constantinescu, Qi Tang, Xian-Zhu Tang
2022 J jnl
Flash-X, a multiphysics simulation software instrument.
CoRR
Anshu Dubey, Klaus Weide, Jared O'Neal, Akash Dhruv, Sean M. Couch, James Austin Harris, Tom Klosterman, Rajeev Jain, Johann Rudi, Bronson Messer, Michael Pajkos, Jared Carlson, Ran Chu, Mohamed Wahib, Saurabh Chawdhary, Paul M. Ricker, Dongwook Lee, Katie Antypas, Katherine M. Riley, Christopher S. Daley, Murali K. Ganapathy, Francis X. Timmes, Dean M. Townsley, Marcos Vanella, John Bachan, Paul Rich, Shravan Kumar, Eirik Endeve, W. Raphael Hix, Anthony Mezzacappa, Thomas Papatheodore
2022 J jnl
Flash-X: A multiphysics simulation software instrument.
SoftwareX
Anshu Dubey, Klaus Weide, Jared O'Neal, Akash Dhruv, Sean M. Couch, James Austin Harris, Tom Klosterman, Rajeev Jain, Johann Rudi, Bronson Messer, Michael Pajkos, Jared Carlson, Ran Chu, Mohamed Wahib, Saurabh Chawdhary, Paul M. Ricker, Dongwook Lee, Katie Antypas, Katherine M. Riley, Christopher S. Daley, Murali K. Ganapathy, Francis X. Timmes, Dean M. Townsley, Marcos Vanella, John Bachan, Paul M. Rich, Shravan Kumar, Eirik Endeve, W. Raphael Hix, Anthony Mezzacappa, Thomas Papatheodore
2022 J jnl
Statistical treatment of convolutional neural network super-resolution of inland surface wind for subgrid-scale variability quantification.
CoRR
Daniel Getter, Julie Bessac, Johann Rudi, Yan Feng
2021 — conf
Domain-Specific Runtime to Orchestrate Computation on Heterogeneous Platforms.
Euro-Par Workshops
Jared O'Neal, Mohamed Wahib, Anshu Dubey, Klaus Weide, Tom Klosterman, Johann Rudi
2021 — conf
Parameter Estimation with Dense and Convolutional Neural Networks Applied to the FitzHugh-Nagumo ODE.
MSML
Johann Rudi, Julie Bessac, Amanda Lenzi
2020 J jnl
Advanced Newton Methods for Geodynamical Models of Stokes Flow with Viscoplastic Rheologies.
CoRR
Johann Rudi, Yu-Hsuan Shih, Georg Stadler
2020 J jnl
Parameter Estimation with Dense and Convolutional Neural Networks Applied to the FitzHugh-Nagumo ODE.
CoRR
Johann Rudi, Julie Bessac, Amanda Lenzi
2017 J jnl
Weighted BFBT Preconditioner for Stokes Flow Problems with Highly Heterogeneous Viscosity.
SIAM J. Sci. Comput.
Johann Rudi, Georg Stadler, Omar Ghattas
2016 J jnl
Weighted BFBT Preconditioner for Stokes Flow Problems with Highly Heterogeneous Viscosity.
CoRR
Johann Rudi, Georg Stadler, Omar Ghattas
2015 A conf
An extreme-scale implicit solver for complex PDEs: highly heterogeneous flow in earth's mantle.
SC
Johann Rudi, A. Cristiano I. Malossi, Tobin Isaac, Georg Stadler, Michael Gurnis, Peter W. J. Staar, Yves Ineichen, Costas Bekas, Alessandro Curioni, Omar Ghattas
2012 A conf
Parallel geometric-algebraic multigrid on unstructured forests of octrees.
SC
Hari Sundar, George Biros, Carsten Burstedde, Johann Rudi, Omar Ghattas, Georg Stadler