After successful completion of the course, students are able to

• Assess characteristcs of High-Performance Computers
• Assess expected performance of parallel programs
• Use advanced features of the MPI standard
• Use advanced featuers of the OpenMP standard
• Understand, analyze, and design algorithms for communication operations

Overview of current HPC architectures and communication networks, problems, algorithms and solutions (with project/exercises); advanced MPI programming (with project/exercise), tools, performance models, libraries (with project/exercise)

For lecture plan, see course homepage

• Lecture and discussion
• Project work
• Evaluation and benchmarking on the availble parallel systems

Planning, overview and first lecture: Monday 7.10, 15:15

ECTS Breakdown

• Overview, planning: 2h
• Lectures: 15x2h = 30h
• Lecture preparation and digestion: 15x1.5h = 22.5h
• Project/exercises: 50h
• Oral exam/project presentation, including preparation: 8h

Total: 112.5h = 4.5 ECTS

Project submission, project presentation, oral examination

Introduction to Parallel Computing, computer architecture, algorithms and data structures, programming in C