Teaching

Parallel Programming (Lecture, Bachelor)

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

Advanced Parallel Programming (Lecture, Master)

• Multithreading in C++
• Managing threads
• Sharing data between threads
• Synchronizing concurrent operations
• Memory model
• Designing concurrent data structures
• Message Passing with MPI
• Point-to-point communication
• Collective communication
• Hybrid programming

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

Theoretical Neuroscience (Seminar, Master)

• Current and foundational topics in theoretical neuroscience
• Development of presentation and writing skills