I. Desai, E. Scheurer, C. Bringedal, und B. Uekermann. Software, (2023)Related to: Desai, Ishaan, & Bringedal, Carina & Uekermann, Benjamin. A flexible software approach to simulate two-scale coupled problems. ECCOMAS Congress 2022. doi: 10.23967/eccomas.2022.037.
M. Heene, und D. Pflüger. Parallel Computing: On the Road to Exascale, Proceedings of the International Conference on Parallel Computing, ParCo 2015, 27, Seite 339-348. IOS Press, (2016)
M. Breyer, A. Van Craen, und D. Pflüger. IWOCL '23: Proceedings of the 2023 International Workshop on OpenCL, Seite 1-12. Association for Computing Machinery, (2023)
S. Hirschmann, D. Pflüger, und C. Glass. 2016 IEEE 23rd International Conference on High Performance Computing Workshops (HiPCW), Seite 130-141. IEEE, (2016)
J. Pelzer. Dataset, (2023)Related to: Pelzer, Julia, and Miriam Schulte. "Efficient two-stage modeling of heat plume interactions of geothermal heat pumps in shallow aquifers using convolutional neural networks." Geoenergy Science and Engineering (2024): 212788. doi: 10.1016/j.geoen.2024.212788.
J. Pelzer. Dataset, (2023)Related to: Pelzer, Julia, and Miriam Schulte. "Efficient two-stage modeling of heat plume interactions of geothermal heat pumps in shallow aquifers using convolutional neural networks." Geoenergy Science and Engineering (2024): 212788. doi: 10.1016/j.geoen.2024.212788.
J. Pelzer. Dataset, (2023)Related to: Pelzer, Julia, and Miriam Schulte. "Efficient two-stage modeling of heat plume interactions of geothermal heat pumps in shallow aquifers using convolutional neural networks." Geoenergy Science and Engineering (2024): 212788. doi: 10.1016/j.geoen.2024.212788.
J. Pelzer. Dataset, (2023)Related to: Pelzer, Julia, and Miriam Schulte. "Efficient two-stage modeling of heat plume interactions of geothermal heat pumps in shallow aquifers using convolutional neural networks." Geoenergy Science and Engineering (2024): 212788. doi: 10.1016/j.geoen.2024.212788.
J. Kühnert, D. Göddeke, und M. Herschel. 13th International Workshop on Theory and Practice of Provenance, Seite 1-4. Red Hook, Curran Associates, Inc., (2021)
S. Oppold, und M. Herschel. TaPP '22 : Proceedings of the 14th International Workshop on the Theory and Practice of Provenance, New York, Association for Computing Machinery, (2022)
B. Xiong, S. Zhu, N. Potyka, S. Pan, C. Zhou, und S. Staab. Advances in Neural Information Processing Systems 35 (NeurIPS 2022), Seite 3488-3501. Red Hook, Curran Associates, Inc., (2022)
B. Xiong, S. Zhu, M. Nayyeri, C. Xu, S. Pan, C. Zhou, und S. Staab. KDD '22 : Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Seite 2130-2139. New York, Association for Computing Machinery, (2022)
T. Schrader, D. Schneider, und B. Uekermann. Software, (2023)Related to: David Schneider, Timo Pierre Schrader, Benjamin Uekermann: "Data-Parallel Radial-Basis Function Interpolation in preCICE", International Conference on Computational Methods for Coupled Problems in Science and Engineering 2023 (in preparation).
F. Huber, P. Bürkner, D. Göddeke, und M. Schulte. Dataset, (2023)Related to: Huber, Felix; Bürkner, Paul-Christian; Göddeke, Dominik; Schulte, MiriamKnowledge-Based Modeling of Simulation Behavior for Bayesian OptimizationComputational Mechanics (submitted).
T. Pollinger. Dataset, (2023)Related to: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique (submitted).
A. Iurshina, J. Pan, R. Boutalbi, und S. Staab. Dataset, (2023)Related to: Anastasiia Iurshina, Jiaxin Pan, Rafika Boutalbi, and Steffen Staab. 2022. NILK: Entity Linking Dataset Targeting NIL-linking Cases. In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM '22). Association for Computing Machinery, New York, NY, USA, 4069-4073. doi: 10.1145/3511808.3557659.