Thomas Jakobs

According to our database, Thomas Jakobs authored at least 10 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Parallelization with load balancing of the weather scheme WSM7 for heterogeneous CPU-GPU platforms.

Thomas Jakobs, Oliver Klöckner, Gudula Rünger

J. Supercomput., July, 2024

2023

Analyzing Data Reordering of a combined MPI and AVX execution of a Jacobi Method.

Thomas Jakobs, Sebastian Kratzsch, Gudula Rünger

Proceedings of the 31st Euromicro International Conference on Parallel, 2023

2022

Optimierung der Energie-Effizienz für Algorithmen der Linearen Algebra durch SIMD-Programmierung und AVX-Vektorisierung.

Thomas Jakobs

PhD thesis, 2022

2021

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

2020

Performance and energy consumption of the SIMD Gram-Schmidt process for vector orthogonalization.

Thomas Jakobs, Billy Naumann, Gudula Rünger

J. Supercomput., 2020

2018

Tuning linear algebra for energy efficiency on multicore machines by adapting the ATLAS library.

Thomas Jakobs, Jens Lang, Gudula Rünger, Paul Stocker

Future Gener. Comput. Syst., 2018

Examining Energy Efficiency of Vectorization Techniques Using a Gaussian Elimination.

Thomas Jakobs, Gudula Rünger

Proceedings of the 2018 International Conference on High Performance Computing & Simulation, 2018

On the energy consumption of Load/Store AVX instructions.

Thomas Jakobs, Gudula Rünger

Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, 2018

2016

Adaptive cyber-physical systems with interpreted operating system kernels.

Peter Tröger, Christine Jakobs, Thomas Jakobs, Matthias Werner

Proceedings of the 5th Mediterranean Conference on Embedded Computing, 2016

Reducing the Power Consumption of Matrix Multiplications by Vectorization.

Thomas Jakobs, Michael Hofmann, Gudula Rünger

Proceedings of the 2016 IEEE Intl Conference on Computational Science and Engineering, 2016