M. Heene, and D. Pflüger. Parallel Computing: On the Road to Exascale, Proceedings of the International Conference on Parallel Computing, ParCo 2015, 27, page 339-348. IOS Press, (2016)
R. Leiteritz, M. Hurler, and D. Pflüger. 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), page 1668-1673. Piscataway, IEEE, (2021)
P. Domanski, D. Pflüger, R. Latty, and J. Rivoir. 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), page 1357-1364. Piscataway, IEEE, (2021)
M. Takamoto, T. Praditia, R. Leiteritz, D. MacKinlay, F. Alesiani, D. Pflüger, and M. Niepert. Dataset, (2022)Related to: Takamoto, M., Praditia, T., Leiteritz, R., MacKinlay, D., Alesiani, F., Pflüger, D. and Niepert, M.: PDEBench: An Extensive Benchmark for Scientific Machine Learning. submitted to the 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks. arXiv: 2210.07182.
M. Takamoto, T. Praditia, R. Leiteritz, D. MacKinlay, F. Alesiani, D. Pflüger, and M. Niepert. Dataset, (2022)Related to: Takamoto, M., Praditia, T., Leiteritz, R., MacKinlay, D., Alesiani, F., Pflüger, D. and Niepert, M.: PDEBench: An Extensive Benchmark for Scientific Machine Learning. submitted to the 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks. arXiv: 2210.07182.
M. Takamoto, T. Praditia, R. Leiteritz, D. MacKinlay, F. Alesiani, D. Pflüger, and M. Niepert. Dataset, (2022)Related to: Takamoto, M., Praditia, T., Leiteritz, R., MacKinlay, D., Alesiani, F., Pflüger, D. and Niepert, M.: PDEBench: An Extensive Benchmark for Scientific Machine Learning. submitted to the 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks.
M. Takamoto, T. Praditia, R. Leiteritz, D. MacKinlay, F. Alesiani, D. Pflüger, and M. Niepert. Dataset, (2022)Related to: Takamoto, M., Praditia, T., Leiteritz, R., MacKinlay, D., Alesiani, F., Pflüger, D. and Niepert, M.: PDEBench: An Extensive Benchmark for Scientific Machine Learning. submitted to the 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks.
M. Breyer, A. Van Craen, and D. Pflüger. IWOCL '23: Proceedings of the 2023 International Workshop on OpenCL, page 1-12. Association for Computing Machinery, (2023)
A. Craen, M. Breyer, and D. Pflüger. 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), page 818-827. Piscataway, IEEE, (2022)
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.