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.

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

Software Lab: HPC Cluster Challenge

Seminar: Current Topics in High-Performance Computing