Faculty of Technical Sciences

Subject: High Performance Computer Systems (17.RVP03)

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
Course activity Pre-examination Obligations Number of points
Test Yes Yes 10.00
Test Yes Yes 10.00
Test Yes Yes 10.00
Test Yes Yes 10.00
Complex exercises Yes Yes 30.00
Theoretical part of the exam No Yes 30.00
API Image

Assoc. Prof. Gajić Dušan

Associate Professor

Lectures
API Image

Asst. Prof. Petrović Veljko

Assistant Professor

Lectures

Assistant - Master Horvat Nebojša

Assistant - Master

Computational classes

Assistant - Master Gligorov Nenad

Assistant - Master

Computational classes

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

Contact:

Address: Trg Dositeja Obradovića 6, 21102 Novi Sad

Phone:  (+381) 21 450 810
(+381) 21 6350 413

Fax : (+381) 21 458 133
Emejl: ftndean@uns.ac.rs

© 2024. Faculty of Technical Sciences.