Team Member: Sergej Breiter
| breiter _at_ nm.ifi.lmu.de | |
| Phone | +49 89 2180-9169 |
| Fax | +49 89 2180-999146 |
| Address |
Sergej Breiter Ludwig-Maximilians-Universität München Institut für Informatik Oettingenstr. 67 D-80538 München Germany |
| Room | E 009 |
Research Interests
- High-Performance Computing
- Parallel and Distributed Computing
- Heterogeneous Computing
- Performance Analysis and Models
- Numerical Linear Algebra Algorithms
Research Projects
Student Work
Bachelor and Master Theses
Students with an idea for a Bachelor or Master thesis related to the above fields are welcome to contact me. You may also take a look at the open proposals of the MNM-Team or at these open HPC-related thesis topics in collaboration with the LRZ. Knowledge of the C or C++ programming language as well as the course “Parallel and High Performance Computing” (or similar) is mandatory for bachelor’s or master’s students.
Teaching Assistance
Winter Term 2024/2025
Summer Term 2024
- Evaluierung moderner HPC-Architekturen und -Beschleuniger
- Seminar Compute and Connect: Selected Topics in Computation and Communication
Winter Term 2023/2024
- Parallel and High Performance Computing
- Evaluierung moderner HPC-Architekturen und -Beschleuniger
- Seminar Emerging Topics in Machine Learning and AI
Summer Term 2023
- Evaluierung moderner HPC-Architekturen und -Beschleuniger
- Hauptseminar Ausgewählte Themen der Technischen Informatik
Winter Term 2022/2023
- Parallel and High Performance Computing
- Evaluation of modern Computing Systems and Accelerators
- Seminar Emerging Topics in Machine Learning and AI
Summer Term 2022
Student Work
| Work Completed: | |
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Publications
- Raoofy, A., Elis, B., Bode, V., Chung, M. T., Breiter, S., Schlemon, M., Herr, D.-F., Fuerlinger, K., Schulz, M., Weidendorfer, J., BEAST Lab: A Practical Course on Experimental Evaluation of Diverse Modern HPC Architectures and Accelerators , Journal of Computational Science Education, 2024(15), 23-31, März, 2024.
- Breiter, S., Trotter, J. D., Fuerlinger, K., Modelling Data Locality of Sparse Matrix-Vector Multiplication on the A64FX, In Proceedings of the SC23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, 2023, 1334-1342, ACM, November, 2023.
- Breiter, S., Weidendorfer, J., Chung, M. T., Fuerlinger, K., A Profiling-Based Approach to Cache Partitioning of Program Data, In Parallel and Distributed Computing, Applications and Technologies (PDCAT22), 453--463, Springer Nature Switzerland, April, 2023.