Publications

Theresa Pollinger. Stable and mass-conserving high-dimensional simulations with the sparse grid combination technique for full HPC systems and beyond. Stuttgart, 2024. [PUMA: diss oa phsimtech ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie]

Alexander Strack, Christopher Taylor, Patrick Diehl, and Dirk Pflüger. Experiences Porting Shared and Distributed Applications to Asynchronous Tasks: A Multidimensional FFT Case-study. 2024. [PUMA: darus ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie]

Linus Bantel, and Peter Domanski. Quanser IP-02 Inverted Cartpole Measurement Data for Analysis and Offline RL. 2024. [PUMA: darus ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie]

Peter Domanski, Aritra Ray, Farshad Firouzi, Kyle Lafata, Krishnendu Chakrabarty, and Dirk Pflüger. Blood Glucose Prediction for Type-1 Diabetics using Deep Reinforcement Learning. In C. K. Chang, R.N. Chang, J. Fan, G. C. Fox, Z. Jin, G. Pravadelli, and H. Shahriar (Eds.), 2023 IEEE International Conference on Digital Health (ICDH), 339-347, IEEE, 2023. [PUMA: ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie wos]

Patrick Diehl, Gregor Daiß, Kevin Huck, Dominic Marcello, Sagiv Shiber, Hartmut Kaiser, and Dirk Pflüger. Simulating Stellar Merger using HPX/Kokkos on A64FX on Supercomputer Fugaku. 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 682-691, IEEE, 2023. [PUMA: ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie wos]

Theresa Pollinger, Johannes Rentrop, Dirk Pflüger, and Katharina Kormann. A stable and mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations. Journal of computational physics, (491):112338, Elsevier, 2023. [PUMA: ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie wos]

Peter Domanski, Dirk Pflüger, and Raphael Latty. Learn to Tune : Robust Performance Tuning in Post-Silicon Validation. 2023 IEEE European Test Symposium (ETS), IEEE, 2023. [PUMA: ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie wos]

Michael F. Rehme, David N. John, Michael Schick, and Dirk Pflüger. Uncertainty Quantification for parameter estimation of an industrial electric motor using hierarchical Bayesian inversion. Mechatronics, (92):102989, Elsevier, 2023. [PUMA: ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie wos]

Gregor Daiß, Srinivas Yadav Singanaboina, Patrick Diehl, Hartmut Kaiser, and Dirk Pflüger. From Merging Frameworks to Merging Stars : Experiences using HPX, Kokkos and SIMD Types. 2022 IEEE/ACM 7th International Workshop on Extreme Scale Programming Models and Middleware (ESPM2), 10-19, IEEE, 2022. [PUMA: ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie wos]

Gregor Daiß, Patrick Diehl, Dominic Marcello, Alireza Kheirkhahan, Hartmut Kaiser, and Dirk Pflüger. From Task-Based GPU Work Aggregation to Stellar Mergers : Turning Fine-Grained CPU Tasks into Portable GPU Kernels. 2022 IEEE/ACM International Workshop on Performance, Portability and Productivity in HPC (P3HPC), 89-99, IEEE, 2022. [PUMA: ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie wos]

Gregor Daiß, Parsa Amini, John Biddiscombe, Patrick Diehl, Juhan Frank, Kevin Huck, Hartmut Kaiser, Dominic Marcello, David Pfander, and Dirk Pflüger. From piz daint to the stars : simulation of stellar mergers using high-level abstractions. SC '19: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 1-37, Association for Computing Machinery, 2019. [PUMA: abgleich ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie]

Marcel Breyer, Gregor Daiß, and Dirk Pflüger. Performance-Portable Distributed k-Nearest Neighbors using Locality-Sensitive Hashing and SYCL. IWOCL'21: International Workshop on OpenCL, 1–12, Association for Computing Machinery, 2021. [PUMA: abgleich ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie]

Markus Hegland, Brendan Harding, Christoph Kowitz, Dirk Pflüger, and Peter Strazdins. Recent Developments in the Theory and Application of the Sparse Grid Combination Technique. In Hans-Joachim Bungartz, Philipp Neumann, and Wolfgang E. Nagel (Eds.), Software for Exascale Computing - SPPEXA 2013-2015, 113:143-163, Springer, 2016. [PUMA: abgleich ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie]

Mario Heene, and Dirk Pflüger. Efficient and scalable distributed-memory hierarchization algorithms for the sparse grid combination technique. Parallel Computing: On the Road to Exascale, Proceedings of the International Conference on Parallel Computing, ParCo 2015, 27:339-348, IOS Press, 2016. [PUMA: abgleich ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie]

Markus Köppel, Fabian Franzelin, Ilja Kröker, Sergey Oladyshkin, Gabriele Santin, Dominik Wittwar, Andrea Barth, Bernard Haasdonk, Wolfgang Nowak, Dirk Pflüger, and Christian Rohde. Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario. Computational geosciences, (23):339-354, Springer, 2019. [PUMA: abgleich mult ubs_10002 ubs_10005 ubs_10008 ubs_20002 ubs_20008 ubs_20013 ubs_30028 ubs_30082 ubs_30123 ubs_40041 ubs_40190 ubs_40305 ubs_40349 unibibliografie]

Mario Heene, Alfredo Parra Hinojosa, Hans-Joachim Bungartz, and Dirk Pflüger. A Massively-Parallel, Fault-Tolerant Solver for High-Dimensional PDEs. In Frédéric Desprez, and et. al (Eds.), Euro-Par 2016: Parallel Processing Workshops, 10104:635-647, Springer, 2017. [PUMA: abgleich ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie]

Marcel Breyer, Alexander Van Craen, and Dirk Pflüger. Performance Evolution of Different SYCL Implementations based on the Parallel Least Squares Support Vector Machine Library. IWOCL '23: Proceedings of the 2023 International Workshop on OpenCL, 1-12, Association for Computing Machinery, 2023. [PUMA: abgleich ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie]

Michael F. Rehme, Fabian Franzelin, and Dirk Pflüger. B-splines on sparse grids for surrogates in uncertainty quantification. Reliability engineering & system safety, (209):107430, Elsevier, 2021. [PUMA: abgleich ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie]

Steffen Hirschmann, Michael Lahnert, Carolin Schober, Malte Brunn, Miriam Mehl, and Dirk Pflüger. Load-Balancing and Spatial Adaptivity for Coarse-Grained Molecular Dynamics Applications. In Wolfgang E. Nagel, H. Kröner, Dietmar, and Michael M. Resch (Eds.), High Performance Computing in Science and Engineering’18, 409-423, Springer, 2019. [PUMA: abgleich mult ubs_10005 ubs_10021 ubs_20008 ubs_20019 ubs_30082 ubs_30165 ubs_40349 unibibliografie]

Steffen Hirschmann, Dirk Pflüger, and Colin W. Glass. Towards Understanding Optimal Load-Balancing of Heterogeneous Short-Range Molecular Dynamics. 2016 IEEE 23rd International Conference on High Performance Computing Workshops (HiPCW), 130-141, IEEE, 2016. [PUMA: abgleich ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie]