The aim of the course is to give students a basic understanding of parallel computing and a basic knowledge of parallel architectures. This includes programming models, languages, and interfaces for parallel computing (e.g., MPI or OpenMP), parallel algorithms, performance analysis and modeling, and basic programming skills.

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.

First lecture (including planning and overview): Thursday, 14.3.2019

For current plan, see course Homepage.

Literature:

• Rauber, Rünger: Parallel programming. Second Edition, Springer 2013.
• Schmidt, Gonzalez-Dominguez, Hundt, Schlarb: Parallel Programming. Concepts and Practice. Morgan Kaufmann 2018.

Additional literature will be announced. Course material (slides) should suffice for the programming projects.

ECTS Breakdown:

• Lectures: 1.5 ECTS
• Study: 0.5 ECTS
• Project work (implementations, test, benchmarking): 1.5 ECTS

• Lectures 11x2h = 22h
• Self-study  18h
• Written exam 8+2h = 10h
• Home exercises 2x2h = 4h
• Projects 21h

 Total: 75h = 3 ECTS

Hand-in exercises, programming project, written exam

Knowledge of programming languages, computer architectures, operating systems. Basic Algorithms and Datastructures (asymptotic worst-case analysis). Programming skills in C, C++, Fortran or Java.