R. Leiteritz, M. Hurler, and D. Pflüger. 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), page 1668-1673. Piscataway, IEEE, (2021)
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).
T. Pollinger. Software, (2021)Related to: Distributing Higher-Dimensional Simulations Across Compute Systems: A Widely Distributed Combination Technique; Theresa Pollinger, Marcel Hurler, Michael Obersteiner, and Dirk Pflüger, 2021. In: 2021 IEEE/ACM International Workshop on Hierarchical Parallelism for Exascale Computing (HiPar), pp. 1-9. doi: 10.1109/HiPar54615.2021.00006.
T. Pollinger. Software, (2022)Related to: Pollinger, T., Rentrop, J., Pflüger, D. & Kormann, K. (2022). A mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations arXiv. doi: 10.48550/arXiv.2209.14064.
T. Pollinger, A. Craen, C. Niethammer, M. Breyer, and D. Pflüger. SC '23 : Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, page 84. New York, Association for Computing Machinery, (2023)
M. Rehme, and D. Pflüger. UNCECOMP 2019 : Uncertainty Quantification in Computational Sciences and Engineering, page 202-214. Athens, Institute of Structural Analysis and Antiseismic Research, School of Civil Engineering, National Technical University of Athens, (2019)