Courses – Fakultet tehničkih nauka u Novom Sadu

Subject: High Performance Computing in Scientific Research (17.RVP06)

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

General information:

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

Introducing students to the possibillities and techniques of practical application of achitectures, algorithms, and methods of high performance computing in the implementation of complex scientific computations.

Students acquire advanced knowledge about applications of high performance computing in complex scientific computations. Acquired knowledge is used in practice.

Application of the HPC and selected mathematical methods and algorithms such as: matrix decomposition, fast Fourier transform, and Monte Carlo methods in solving scientific problems. Example problem domains: spectral analysis, astrophysics - N-body problem, molecular dynamics, and fluid dynamics. Application of specialized programming frameworks and tools for scientific computing. Selected use cases.

Teaching is performed through lessons, oral, and computer exercises (in the computer classroom), as well as consultations. Through the teaching process, students are constantly motivated to an intensive discussion, problem oriented reasoning, independent study work, and active participation in the whole lecturing process. The prerequisite to enter final exam is to complete all the pre-exam assignments by earning at least 30 points.

Authors	Title	Year	Publisher	Language
Sterling, T., Anderson, M., Brodowicz, M.	High Performance Computing : Modern Systems and Practices	2017	Morgan Kaufmann	English
Suh, J. W., Kim, Y.	Accelerating MATLAB with GPU Computing: A Primer with Examples	2013	Morgan Kaufmann	English
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