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High-Performance Computing

Description

Are you interested in using Europe’s faster supercomputers (and getting ECTS credit points for doing so)? Would you like to learn how to write programs for parallel supercomputers, such as a Cray or a cluster of Graphics Processing Units? The course is designed to teach students how to program parallel computers to efficiently solve challenging problems in science and engineering, where very fast computers are required either to perform complex simulations or to analyze enormous datasets. It covers basic principles, architectures, and algorithms of parallel systems. The course is structured in four parts: (i) foundations of parallel systems, (ii) basic parallel algorithm, (iii) parallel programming, and (iv) parallel applications.

 

 

REFERENCES

  • Georg Hager  (Author), Gerhard Wellein (Author), Introduction to High Performance Computing for Scientists and Engineers (Chapman & Hall/CRC Computational Science), 2010.
  • Victor Eijkhout (Author), Introduction to High Performance Scientific Computing, Hardcover, 17. Juni 2013.
  • Thomas Rauber (Author), Gudula Rünger (Author), Parallel Programming: for Multicore and Cluster Systems, Hardcover, June 25, 2013.

People

 

Schenk O.

Course director

Janalík R.

Assistant

Kardoš J.

Assistant

Additional information

Semester
Fall
Academic year
2017-2018
ECTS
6
Education
Master of Science in Artificial Intelligence, Elective course, Lecture, 1st and 2nd year

Master of Science in Computational Science, Core course, Lecture, 1st year

Master of Science in Financial Technology and Computing, Core course, Lecture, 1st year

Master of Science in Informatics, Core course, Lecture, 1st and 2nd year

PhD programme of the Faculty of Informatics, Elective course, Lecture, 1st, 2nd and 3rd year