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2020 – today
- 2024
[j4]Thomas Jakobs, Oliver Klöckner, Gudula Rünger:
Parallelization with load balancing of the weather scheme WSM7 for heterogeneous CPU-GPU platforms. J. Supercomput. 80(10): 14645-14665 (2024)- 2023
- [c5]Thomas Jakobs
, Sebastian Kratzsch, Gudula Rünger:
Analyzing Data Reordering of a combined MPI and AVX execution of a Jacobi Method. PDP 2023: 159-163 - 2022
- [b1]Thomas Jakobs:
Optimierung der Energie-Effizienz für Algorithmen der Linearen Algebra durch SIMD-Programmierung und AVX-Vektorisierung. Chemnitz University of Technology, Germany, 2022 - 2021
- [j3]Thomas Jakobs, Lukas Reinhardt, Gudula Rünger:
Performance and energy consumption of a Gram-Schmidt process for vector orthogonalization on a processor integrated GPU. Sustain. Comput. Informatics Syst. 29(Part): 100456 (2021) - 2020
- [j2]Thomas Jakobs, Billy Naumann, Gudula Rünger:
Performance and energy consumption of the SIMD Gram-Schmidt process for vector orthogonalization. J. Supercomput. 76(3): 1999-2021 (2020)
2010 – 2019
- 2018
- [j1]Thomas Jakobs, Jens Lang, Gudula Rünger, Paul Stocker:
Tuning linear algebra for energy efficiency on multicore machines by adapting the ATLAS library. Future Gener. Comput. Syst. 82: 555-564 (2018) - [c4]Thomas Jakobs, Gudula Rünger:
On the energy consumption of Load/Store AVX instructions. FedCSIS 2018: 319-327 - [c3]Thomas Jakobs, Gudula Rünger:
Examining Energy Efficiency of Vectorization Techniques Using a Gaussian Elimination. HPCS 2018: 268-275 - 2016
- [c2]Thomas Jakobs, Michael Hofmann, Gudula Rünger:
Reducing the Power Consumption of Matrix Multiplications by Vectorization. CSE/EUC/DCABES 2016: 213-220 - [c1]Peter Tröger, Christine Jakobs, Thomas Jakobs, Matthias Werner:
Adaptive cyber-physical systems with interpreted operating system kernels. MECO 2016: 26-29
Coauthor Index
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