Reducing the Power Consumption of Matrix Multiplications by Vectorization. - Thomas Jakobs; Michael Hofmann 002; Gudula Rünger (CSE/EUC/DCABES, 2016)

Adaptive cyber-physical systems with interpreted operating system kernels. - Peter Tröger; Christine Jakobs; Thomas Jakobs; Matthias Werner 001 (MECO, 2016)

On the energy consumption of Load/Store AVX instructions. - Thomas Jakobs; Gudula Rünger (FedCSIS, 2018)

Examining Energy Efficiency of Vectorization Techniques Using a Gaussian Elimination. - Thomas Jakobs; Gudula Rünger (HPCS, 2018)

Tuning linear algebra for energy efficiency on multicore machines by adapting the ATLAS library. - Thomas Jakobs; Jens Lang 002; Gudula Rünger; Paul Stocker (Future Gener. Comput. Syst., 2018)

Performance and energy consumption of the SIMD Gram-Schmidt process for vector orthogonalization. - Thomas Jakobs; Billy Naumann; Gudula Rünger (J. Supercomput., 2020)

Performance and energy consumption of a Gram-Schmidt process for vector orthogonalization on a processor integrated GPU. - Thomas Jakobs; Lukas Reinhardt; Gudula Rünger (Sustain. Comput. Informatics Syst., 2021)

Optimierung der Energie-Effizienz für Algorithmen der Linearen Algebra durch SIMD-Programmierung und AVX-Vektorisierung. - Thomas Jakobs (2022)

Analyzing Data Reordering of a combined MPI and AVX execution of a Jacobi Method. - Thomas Jakobs; Sebastian Kratzsch; Gudula Rünger (PDP, 2023)

Parallelization with load balancing of the weather scheme WSM7 for heterogeneous CPU-GPU platforms. - Thomas Jakobs; Oliver Klöckner; Gudula Rünger (J. Supercomput., 2024)