| From piz daint to the stars: Simulation of stellar mergers using high-level abstractions G Daiß, P Amini, J Biddiscombe, P Diehl, J Frank, K Huck, H Kaiser, ... Proceedings of the international conference for high performance computing …, 2019 | 34 | 2019 |
| Beyond fork-join: Integration of performance portable Kokkos kernels with HPX G Daiß, M Simberg, A Reverdell, J Biddiscombe, T Pollinger, H Kaiser, ... 2021 IEEE International Parallel and Distributed Processing Symposium …, 2021 | 15 | 2021 |
| Performance measurements within asynchronous task-based runtime systems: A double white dwarf merger as an application P Diehl, D Marcello, P Amini, H Kaiser, S Shiber, GC Clayton, J Frank, ... Computing in Science & Engineering 23 (3), 73-81, 2021 | 13 | 2021 |
| Accelerating octo-tiger: stellar mergers on intel knights landing with HPX D Pfander, G Daiß, D Marcello, H Kaiser, D Pflüger Proceedings of the International Workshop on OpenCL, 1-8, 2018 | 12 | 2018 |
| Stellar mergers with HPX-Kokkos and SYCL: methods of using an asynchronous many-task runtime system with SYCL G Daiß, P Diehl, H Kaiser, D Pflüger Proceedings of the 2023 International Workshop on OpenCL, 1-12, 2023 | 11 | 2023 |
| Octo-tiger’s new hydro module and performance using hpx+ cuda on ornl’s summit P Diehl, G Daiß, D Marcello, K Huck, S Shiber, H Kaiser, J Frank, ... 2021 IEEE International Conference on Cluster Computing (CLUSTER), 204-214, 2021 | 8 | 2021 |
| Heterogeneous distributed big data clustering on sparse grids D Pfander, G Daiß, D Pflüger Algorithms 12 (3), 60, 2019 | 8 | 2019 |
| From task-based gpu work aggregation to stellar mergers: Turning fine-grained cpu tasks into portable gpu kernels G Daiß, P Diehl, D Marcello, A Kheirkhahan, H Kaiser, D Pflüger 2022 IEEE/ACM International Workshop on Performance, Portability and …, 2022 | 6 | 2022 |
| From Merging Frameworks to Merging Stars: Experiences using HPX, Kokkos and SIMD Types G Daiß, SY Singanaboina, P Diehl, H Kaiser, D Pflüger 2022 IEEE/ACM 7th International Workshop on Extreme Scale Programming Models …, 2022 | 6 | 2022 |
| Simulating stellar merger using HPX/Kokkos on A64FX on Supercomputer Fugaku P Diehl, G Daiß, K Huck, D Marcello, S Shiber, H Kaiser, D Pflüger The Journal of Supercomputing, 1-32, 2024 | 5 | 2024 |
| Performance-portable distributed k-nearest neighbors using locality-sensitive hashing and sycl M Breyer, G Daiß, D Pflüger Proceedings of the 9th International Workshop on OpenCL, 1-12, 2021 | 5 | 2021 |
| Octo-Tiger: Binary star systems with HPX on Nvidia P100 G Daiß | 5 | 2018 |
| Distributed, combined CPU and GPU profiling within HPX using APEX P Diehl, G Daiss, K Huck, D Marcello, S Shiber, H Kaiser, J Frank, ... arXiv preprint arXiv:2210.06437, 2022 | 2 | 2022 |
| Hydrodynamic simulations of WD-WD mergers and the origin of RCB stars S Shiber, O De Marco, PM Motl, B Munson, DC Marcello, J Frank, P Diehl, ... arXiv preprint arXiv:2404.06864, 2024 | 1 | 2024 |
| Evaluating HPX and Kokkos on RISC-V using an astrophysics application Octo-Tiger P Diehl, G Daiss, S Brandt, A Kheirkhahan, H Kaiser, C Taylor, J Leidel Proceedings of the SC'23 Workshops of The International Conference on High …, 2023 | 1 | 2023 |
| Hydrodynamic simulations of white dwarf–white dwarf mergers and the origin of R Coronae Borealis stars S Shiber, O De Marco, PM Motl, B Munson, DC Marcello, J Frank, P Diehl, ... Monthly Notices of the Royal Astronomical Society 535 (2), 1914-1943, 2024 | | 2024 |
| Preparing for HPC on RISC-V: Examining Vectorization and Distributed Performance of an Astrophyiscs Application with HPX and Kokkos P Diehl, P Syskakis, G Daiß, SR Brandt, A Kheirkhahan, SY Singanaboina, ... arXiv preprint arXiv:2407.00026, 2024 | | 2024 |
| Distributed astrophysics simulations using Octo-Tiger with RISC-V CPUs using HPX and Kokkos P Diehl, G Daiß, SR Brandt, A Kheirkhahan, S Yadav Singanaboina, ... arXiv e-prints, arXiv: 2407.00026, 2024 | | 2024 |
| HPX with Spack and Singularity Containers: Evaluating Overheads for HPX/Kokkos using an astrophysics application P Diehl, SR Brandt, G Daiß, H Kaiser Workshop on Asynchronous Many-Task Systems and Applications, 173-184, 2024 | | 2024 |
| Verteiltes Dünngitter Clustering mit großen Datensätzen G Daiß | | 2015 |
Hartmut KaiserCenter of Computation and Technology at Louisiana State UniversityVerified email at lsu.edu