Courses – Fakultet tehničkih nauka u Novom Sadu

Subject: High Performance Computer Systems (17.RVP03)

Native organizations units: No data

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

General information:

Category	Scientific-professional
Scientific or art field	Applied Computer Science and Informatics
Interdisciplinary	No
ECTS	6

Educational goal:

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.

Educational outcome:

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.

Course content:

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.

Teaching methods:

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

Literature:

Authors	Title	Year	Publisher	Language
Sterling, T., Anderson, M., Brodowicz, M.	High Performance Computing : Modern Systems and Practices	2017	Morgan Kaufmann	Serbian language
Press, W.H., Teukolsky, S.A.	Numerical Recipes: The Art of Scientific Computing	2007	Cambridge University Press	English
Eijkhout, V.	Introduction to High Performance Scientific Computing	2015	Lulu	English