Ergebnis der Datenbankabfrage
| Nr. | Titel | Autor | Jahr |
|---|---|---|---|
| 1 | A performance- and energy-oriented extended tuning process for time-step-based scientific applications | Kalinnik, Natalia et al. | 2020 |
| 2 | Performance and Energy Evaluation of Parallel Particle Simulation Algorithms for Different Input Particle Data | Kiesel, Robert et al. | 2019 |
| 3 | A hybrid CPU/GPU implementation of computationally intensive particle simulations using OpenCL | Hofmann, Michael et al. | 2018 |
| 4 | Energy and Performance Analysis of Parallel Particle Solvers from the ScaFaCoS Library | Hofmann, Michael et al. | 2018 |
| 5 | Exploring Self-Adaptivity Towards Performance and Energy for Time-Stepping Methods | Kalinnik, Natalia* et al. | 2018 |
| 6 | On the Autotuning Potential of Time-stepping methods from Scientific Computing | Kalinnik, Natalia et al. | 2018 |
| Anzahl der Ergebnisseiten: | 1 |
| Anzahl der Dokumente: | 6 |
