Mathis Bode - RankMe

35 papers A 2Journal 22Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Modeling subgrid scale production rates on complex meshes using graph neural networks. CoRR Priyabrat Dash, Mathis Bode, Konduri Aditya
2026	J	`jnl`	Super-resolution of turbulent reacting flows on complex meshes using graph neural networks. CoRR Priyabrat Dash, Konduri Aditya, Christos E. Frouzakis, Mathis Bode
2026	—	`conf`	What Will the Grace Hopper-Powered Jupiter Supercomputer Bring for Sparse Linear Algebra? SCA/HPC Asia Yu-Hsiang Tsai, Mathis Bode, Hartwig Anzt
2026	J	`jnl`	exaCB: Reproducible Continuous Benchmark Collections at Scale Leveraging an Incremental Approach. CoRR Jayesh Badwaik, Mathis Bode, Michal Rajski, Andreas Herten
2025	A	`conf`	Computing the Full Earth System at 1km Resolution. SC Daniel Klocke, Claudia Frauen, Jan Frederik Engels, Dmitry Alexeev, René Redler, Reiner Schnur, Helmuth Haak, Luis Kornblueh, Nils Brüggemann, Fatemeh Chegini, Manoel Römmer, Lars Hoffmann, Sabine Griessbach, Mathis Bode, Jonathan Coles, Miguel Gila, William Sawyer, Alexandru Calotoiu, Yakup Budanaz, Pratyai Mazumder, Marcin Copik, Benjamin Weber, Andreas Herten, Hendryk Bockelmann, Torsten Hoefler, Cathy Hohenegger, Bjorn Stevens
2025	J	`jnl`	Deciphering boundary layer dynamics in high-Rayleigh-number convection using 3360 GPUs and a high-scaling in-situ workflow. CoRR Mathis Bode, Damian Alvarez, Paul F. Fischer, Christos E. Frouzakis, Jens Henrik Göbbert, Joseph A. Insley, Yu-Hsiang Lan, Victor A. Mateevitsi, Misun Min, Michael E. Papka, Silvio Rizzi, Roshan J. Samuel, Jörg Schumacher
2025	—	`conf`	Free Lunch in In Situ Visualization: Leveraging Idle CPU Resources to Mitigate GPU Contention. LDAV Victor A. Mateevitsi, Andres Sewell, Jens Henrik Göbbert, Mathis Bode, Paul F. Fischer, Joseph A. Insley, Ioannis Kavroulakis, Damaskinos Konioris, Yu-Hsiang Lan, Misun Min, Dimitrios Papageorgiou, Steve Petruzza, Silvio Rizzi, Ananias Tomboulides, Michael E. Papka
2025	J	`jnl`	JuMonC: A RESTful tool for enabling monitoring and control of simulations at scale. Future Gener. Comput. Syst. Christian Witzler, Filipe Souza Mendes Guimarães, Daniel Mira, Hartwig Anzt, Jens Henrik Göbbert, Wolfgang Frings, Mathis Bode
2025	J	`jnl`	Scaled Block Vecchia Approximation for High-Dimensional Gaussian Process Emulation on GPUs. CoRR Qilong Pan, Sameh Abdulah, Mustafa Abduljabbar, Hatem Ltaief, Andreas Herten, Mathis Bode, Matthew T. Pratola, Arindam Fadikar, Marc G. Genton, David E. Keyes, Ying Sun
2025	J	`jnl`	Universal Quantum Simulation of 50 Qubits on Europe's First Exascale Supercomputer Harnessing Its Heterogeneous CPU-GPU Architecture. CoRR Hans De Raedt, Jiri Kraus, Andreas Herten, Vrinda Mehta, Mathis Bode, Markus Hrywniak, Kristel Michielsen, Thomas Lippert
2024	A	`conf`	Application-Driven Exascale: The JUPITER Benchmark Suite. SC Andreas Herten, Sebastian Achilles, Damian Alvarez, Jayesh Badwaik, Eric Behle, Mathis Bode, Thomas Breuer, Daniel Caviedes-Voullième, Mehdi Cherti, Adel Dabah, Salem El Sayed, Wolfgang Frings, Ana Gonzalez-Nicolas, Eric B. Gregory, Kaveh Haghighi Mood, Thorsten Hater, Jenia Jitsev, Chelsea Maria John, Jan H. Meinke, Catrin I. Meyer, Pavel Mezentsev, Jan-Oliver Mirus, Stepan Nassyr, Carolin Penke, Manoel Römmer, Ujjwal Sinha, Benedikt von St. Vieth, Olaf Stein, Estela Suarez, Dennis Willsch, Ilya Zhukov
2024	J	`jnl`	Application-Driven Exascale: The JUPITER Benchmark Suite. CoRR Andreas Herten, Sebastian Achilles, Damian Alvarez, Jayesh Badwaik, Eric Behle, Mathis Bode, Thomas Breuer, Daniel Caviedes-Voullième, Mehdi Cherti, Adel Dabah, Salem El Sayed, Wolfgang Frings, Ana Gonzalez-Nicolas, Eric B. Gregory, Kaveh Haghighi Mood, Thorsten Hater, Jenia Jitsev, Chelsea Maria John, Jan H. Meinke, Catrin I. Meyer, Pavel Mezentsev, Jan-Oliver Mirus, Stepan Nassyr, Carolin Penke, Manoel Römmer, Ujjwal Sinha, Benedikt von St. Vieth, Olaf Stein, Estela Suarez, Dennis Willsch, Ilya Zhukov
2024	—	`conf`	Visuals on the House: Optimizing HPC Workflows with No-Cost CPU Visualization. LDAV Victor A. Mateevitsi, Andres Sewell, Mathis Bode, Paul F. Fischer, Jens Henrik Göbbert, Joseph A. Insley, Ioannis Kavroulakis, Damaskinos Konioris, Yu-Hsiang Lan, Misun Min, Dimitrios Papageorgiou, Michael E. Papka, Steve Petruzza, Silvio Rizzi, Ananias Tomboulides
2024	J	`jnl`	nekCRF: A next generation high-order reactive low Mach flow solver for direct numerical simulations. CoRR Stefan Kerkemeier, Christos E. Frouzakis, Ananias Tomboulides, Paul F. Fischer, Mathis Bode
2023	—	`conf`	AI Super-Resolution Subfilter Modeling for Multi-Physics Flows. PASC Mathis Bode
2023	J	`jnl`	Hybrid scheme for complex flows on staggered grids and application to multiphase flows. J. Comput. Phys. Mathis Bode, Abhishek Deshmukh, Tobias Falkenstein, Seongwon Kang, Heinz Pitsch
2023	—	`conf`	Scaling Computational Fluid Dynamics: In Situ Visualization of NekRS using SENSEI. SC Workshops Victor A. Mateevitsi, Mathis Bode, Nicola J. Ferrier, Paul F. Fischer, Jens Henrik Göbbert, Joseph A. Insley, Yu-Hsiang Lan, Misun Min, Michael E. Papka, Saumil Patel, Silvio Rizzi, Jonathan Windgassen
2023	J	`jnl`	Scaling Computational Fluid Dynamics: In Situ Visualization of NekRS using SENSEI. CoRR Victor A. Mateevitsi, Mathis Bode, Nicola J. Ferrier, Paul F. Fischer, Jens Henrik Göbbert, Joseph A. Insley, Yu-Hsiang Lan, Misun Min, Michael E. Papka, Saumil Patel, Silvio Rizzi, Jonathan Windgassen
2022	J	`jnl`	A three-dimensional cell-based volume-of-fluid method for conservative simulations of primary atomization. J. Comput. Phys. Fabian Fröde, Temistocle Grenga, Vincent Le Chenadec, Mathis Bode, Heinz Pitsch
2022	J	`jnl`	Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Finite-Rate-Chemistry Flows and Predicting Lean Premixed Gas Turbine Combustors. CoRR Mathis Bode
2022	J	`jnl`	Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Turbulent Non-Premixed Combustion on Non-Uniform Meshes and Demonstration of an Accelerated Simulation Workflow. CoRR Mathis Bode
2022	J	`jnl`	Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Turbulent Premixed Combustion and Engine-like Flame Kernel Direct Numerical Simulation Data. CoRR Mathis Bode, Michael Gauding, Dominik Goeb, Tobias Falkenstein, Heinz Pitsch
2022	J	`jnl`	Towards prediction of turbulent flows at high Reynolds numbers using high performance computing data and deep learning. CoRR Mathis Bode, Michael Gauding, Jens Henrik Göbbert, Baohao Liao, Jenia Jitsev, Heinz Pitsch
2021	J	`jnl`	Pandemic Drugs at Pandemic Speed: Accelerating COVID-19 Drug Discovery with Hybrid Machine Learning- and Physics-based Simulations on High Performance Computers. CoRR Agastya P. Bhati, Shunzhou Wan, Dario Alfè, Austin R. Clyde, Mathis Bode, Li Tan, Mikhail Titov, André Merzky, Matteo Turilli, Shantenu Jha, Roger R. Highfield, Walter Rocchia, Nicola Scafuri, Sauro Succi, Dieter Kranzlmüller, Gerald Mathias, David Wifling, Yann Donon, Alberto Di Meglio, Sofia Vallecorsa, Heng Ma, Anda Trifan, Arvind Ramanathan, Tom Brettin, Alexander Partin, Fangfang Xia, Xiaotan Duan, Rick Stevens, Peter V. Coveney
2021	—	`conf`	Using Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Reconstruct Mixture Fraction Statistics of Turbulent Jet Flows. ISC Workshops Michael Gauding, Mathis Bode
2019	—	`conf`	A discrete mathematics approach for large scale improvement in classification training time. IEEE BigData Sumedh Yadav, Mathis Bode
2019	J	`jnl`	A graphical heuristic for reduction and partitioning of large datasets for scalable supervised training. CoRR Sumedh Yadav, Mathis Bode
2019	J	`jnl`	A graphical heuristic for reduction and partitioning of large datasets for scalable supervised training. J. Big Data Sumedh Yadav, Mathis Bode
2019	—	`conf`	Deep Learning at Scale for Subgrid Modeling in Turbulent Flows: Regression and Reconstruction. ISC Workshops Mathis Bode, Michael Gauding, Konstantin Kleinheinz, Heinz Pitsch
2019	J	`jnl`	Deep learning at scale for subgrid modeling in turbulent flows. CoRR Mathis Bode, Michael Gauding, Konstantin Kleinheinz, Heinz Pitsch
2019	J	`jnl`	Using Physics-Informed Super-Resolution Generative Adversarial Networks for Subgrid Modeling in Turbulent Reactive Flows. CoRR Mathis Bode, Michael Gauding, Zeyu Lian, Dominik Denker, Marco Davidovic, Konstantin Kleinheinz, Jenia Jitsev, Heinz Pitsch
2018	J	`jnl`	On the self-similarity of line segments in decaying homogeneous isotropic turbulence. CoRR Michael Gauding, Lipo Wang, Jens Henrik Göbbert, Mathis Bode, Luminita Danaila, Emilien Varea
2018	—	`conf`	Towards Prediction of Turbulent Flows at High Reynolds Numbers Using High Performance Computing Data and Deep Learning. ISC Workshops Mathis Bode, Michael Gauding, Jens Henrik Göbbert, Baohao Liao, Jenia Jitsev, Heinz Pitsch
2016	—	`conf`	Extreme-Scale In Situ Visualization of Turbulent Flows on IBM Blue Gene/Q JUQUEEN. ISC Workshops Jens Henrik Göbbert, Mathis Bode, Brian J. N. Wylie
2016	—	`conf`	Multi-scale Coupling for Predictive Injector Simulations. JHPCS Mathis Bode, Marco Davidovic, Heinz Pitsch