Teaching

System and Parallel Programming (Lecture, Bachelor)

• Introduction to C/C++
• Parallel architectures
• Foundations & analysis of parallel performance
• Parallel algorithms & design patterns
• Shared-memory programming with OpenMP
• Distributed-memory programming with MPI
• GPU programming with CUDA

Multithreading in C++ (Lecture, Master)

• Shared-memory architectures
• Thread management
• Data sharing between threads
• Synchronization
• Lock-based concurrent data structures
• Testing and debugging

Advanced Multithreading in C++ (Lecture, Master)

• Memory model
• Atomic operations
• Lock-free concurrent data structures
• Advanced thread management

Parallel Programming Technology (Lab, Master)

• Smaller scientific projects
• Drawn from one of our major research topics
• Development of practical skills and research competence
• Working in small teams

Parallel Computing (Seminar, Master)

• Current and foundational topics in parallel computing
• Development of presentation and writing skills