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.
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. arXiv: 2210.07182.
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. 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).