Team Member: Sergej Breiter

General

• High-Performance Computing
• Parallel and Distributed Computing
• Heterogeneous Computing
• Performance Analysis and Models
• Computer Architecture
• Numerical Linear Algebra Algorithms

Current Focus

• Sparse Linear Algebra Performance
• Cache Models, Cache Locality Optimizations, and Cache Efficiency
• Communication and Computation Overlap in Hybrid Shared-Memory and Distributed-Memory Computing

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

Summer Term 2025

• Evaluierung moderner HPC-Architekturen und -Beschleuniger
• Seminar Compute and Connect: Selected Topics in Computation and Communication

Winter Term 2024/2025

• Parallel and High Performance Computing
• Seminar Emerging Topics in Machine Learning and AI

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

• Evaluation of modern Computing Systems and Accelerators

Research Projects

Student Work

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.