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Seminar Software Methods & Technologies for Virtual Aircraft
Seminar Software Methods & Technologies for Virtual Aircraft
Description
In this seminar, students will analyze and discuss scientific publications on a topic in the field of aerospace engineering. Students will learn to independently elaborate the content of the publications and comprehensively present the result of their literature study.
Vortex flow
Credit:
Teacher
Prof. Dr. Sabine Roller
Format
2 SWS seminar, self-study
2.5 credits
Examination
Oral presentation (30min, 20mins talk + 10mins Q&A)
Grade Scale
We'll use the guideline from here.
Creditability
Schedule/Registration
Kick off meeting: May 5th, 1.30pm, Melli-Beese room at DLR-SP
Presentations: June 26th, 11.30am - 17.00pm, Melli-Beese room at DLR-SP
Suggested Seminar Papers
- Rohit Zambre, Aparna Chandramowlishwaran: "Lessons Learned on MPI+Threads Communication", https://doi.org/10.48550/arXiv.2206.14285
- Paul Mullowney, Ruipeng Li, Stephen Thomas, Shreyas Ananthan, Ashesh Sharma, Jon Rood, Alan B. Williams, Michael Sprague: "Preparing an Incompressible-Flow Fluid Dynamics Code for Exascale-Class Wind Energy Simulations", https://dl.acm.org/doi/10.1145/3458817.3476185
- Kumar Saurabh, Masado Ishii, Milinda Fernando, Boshun Gao, Kendrick Tan, Ming-Chen Hsu, Adarsh Krishnamurthy, Hari Sundar, Baskar Ganapathysubramanian: "Scalable Adaptive PDE Solvers in Arbitrary Domains", https://dl.acm.org/doi/10.1145/3458817.3476220
- Martin Kronbichler, Niklas Fehn, Peter Munch, Maximilian Bergbauer, Karl-Robert Wichmann, Carolin Geitner, Momme Allalen, Martin Schulz, Wolfgang A. Wall: "A Next-Generation Discontinuous Galerkin Fluid Dynamics Solver with Application to High-Resolution Lung Airflow Simulations", https://dl.acm.org/doi/10.1145/3458817.3476171
- Sayan Ghosh, Nathan Tallent, Marco Minutoli, Mahantesh Halappanavar, Ramesh Peri, Ananth Kalyanaraman: "Single-Node Partitioned-Memory for Huge Graph Analytics: Cost and Performance Trade-Offs", https://dl.acm.org/doi/10.1145/3458817.3476156
- Ricardo Vinuesa, Steven L. Brunton: "The Potential of Machine Learning to Enhance Computational Fluid Dynamics", http://arxiv.org/pdf/2110.02085v1
- Charles R. Qi and All: 'PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation', https://arxiv.org/abs/1612.00593
- Satoshi Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd, Torsten Hoefler: "Myths and Legends in High-Performance Computing", https://arxiv.org/pdf/2301.02432
- Robert Schenck, Ola Rønning, Troels Henriksen and Cosmin E. Oancea: "AD for an Array Language with Nested Parallelism", https://arxiv.org/pdf/2202.10297.pdf
- Hong Zhang , Emil Constantinescu: "Revolve-Based Adjoint Checkpointing for Multistage Time Integration", https://link.springer.com/chapter/10.1007/978-3-030-77961-0_37
- William Moses, Sri Hari Krishna Narayanan, Ludger Paehler, Valentin Churavy, Michel Schanen, Jan Hueckelheim, Johannes Doerfert, Paul Hovland: "Scalable Automatic Differentiation of Multiple Parallel Paradigms through Compiler Augmentation", https://c.wsmoses.com/papers/enzymePar.pdf
- Michael Lubasch, Jaewoo Joo, Pierre Moinier, Martin Kiffner, Dieter Jaksch, "Variational quantum algorithms for nonlinear problems", 2020, https://arxiv.org/abs/1907.09032
Contact
Prof. Sabine Roller
Director
German Aerospace Center (DLR)
Institute of Software Methods for Product Virtualization
Zwickauer Straße 46, 01069 Dresden