After successful completion of the course, students are able to

• Understand and express asymptotic running time and work of parallel algorithms
• Understand and appreciate characteristics of thread models for parallel computing
• Read and write programs in OpenMP
• Read and write programs in MPI
• Understand and appreciate task parallel models for parallel computing

Motivation and goals of parallel computing, parallel computer architectures, programming models, performance measurement and analysis, introduction to programming paradigms such as MPI (Message Passing Interface), Pthreads, and OpenMP. Other aspects and languages for programming multi-core processors.

Lectures, assignments

ECTS Breakdown:

• Lectures: 1,5 ECTS
• Assignments: 1,5 ECTS

• Lectures 8x2h = 16h
• Self-study  37h
• Assignments 2x10h = 20h
• Written exam 2h = 2h

 Total: 75h = 3 ECTS

Part 1: Completing assignments
Part 2: Exam: written exam, closed book

Knowledge of programming languages, computer architectures, operating systems. Basic Algorithms and Datastructures (asymptotic worst-case analysis).

Programming skills, e.g., in C/C++, Java, or Python.