High Performance Computer Systems | Faculty of Technical Sciences

Subject: High Performance Computer Systems (17.RVP03)

Type of studies	Title
Master Academic Studies	Information and Analytics Engineering (Year: 1, Semester: Winter)
Master Academic Studies	Computing and Control Engineering (Year: 1, Semester: Winter)
Master Academic Studies	Information Engineering (Year: 1, Semester: Winter)

General information:

Category	Scientific-professional
Scientific or art field	Applied Computer Science and Informatics
ECTS	6

Understanding the architecture of modern high performance computers and corresponding calculation models. Mastering programming techniques for high performance architectures and their practical application in science and engineering.

Students gain advanced knowledge of computing models and architectures of high performance computers and master the appropriate programming techniques. Acquired knowledge is used in practice and in courses High Performance Computing in Scientific Research and High Performance Computing in Data Science.

High Performance Computing (HPC) concepts, models and algorithms. Modern high-performance computer architectures - from super-computer to single-board computer (SBC). Trends in performance and architecture of modern high performance computers. Accelerators. Heterogeneous computer processors and their programming. GPU calculations. Numerical algorithms, libraries and packages. Application of HPC in scientific calculations. Application of HPC in simulation and visualization. Application of HPC in the analysis of large data sets.

Lectures, practical exercises. Final exam and practical exercises form the final grade.

Authors	Title	Year	Publisher	Language
Eijkhout, V.	Introduction to High Performance Scientific Computing	2015	Lulu	English
Press, W.H., Teukolsky, S.A.	Numerical Recipes: The Art of Scientific Computing	2007	Cambridge University Press	English