High Performance Computing
The chair’s lectures cover various aspects of high-performance computing. These include programming models, algorithms and software for parallel and multi-core computers, as well as performance tuning, automatic error analysis and energy efficiency.
Summer Term 2022
Lecture: Performance and Correctness Analysis of Parallel Programs
Lecture: Concepts and Models of Parallel and Data-centric Programming
Proseminar: Basics of Parallel Programming Models
Software Lab: Parallel Programming of Many-core Architectures with OpenMP
Seminar: Current Topics in High-Performance Computing
Winter Term 2021/22
Lecture: Introduction to High Performance Computing
Seminar: Current Topics in High-Performance Computing
Software Lab: Parallel Programming of Many-core Architectures with OpenMP
Proseminar: Basics of Parallel Programming Models
Summer Term 2021
Lecture: Performance and Correctness Analysis of Parallel Programs
Lecture: Concepts and Models of Parallel and Data-centric Programming
Proseminar: Basics of Parallel Programming Models
Software Lab: Parallel Programming of Many-core Architectures with OpenMP
Seminar: Current Topics in High-Performance Computing
Winter Term 2020/21
Lecture: Introduction to High Performance Computing
Proseminar: Basics of Parallel Programming Models
Software Lab: Parallel Programming of Many-core Architectures with OpenMP
Seminar: Current Topics in High-Performance Computing
Summer Term 2020
Lecture: Performance and Correctness Analysis of Parallel Programs
Lecture: Concepts and Models of Parallel and Data-centric Programming
Proseminar: Basics of Parallel Programming Models
Software Lab: Parallel Programming of Many-core Architectures with OpenMP
Seminar: Current Topics in High-Performance Computing
Winter Term 2019/20
Lecture: High Performance Computing
Proseminar: Basics of Parallel Programming Models