UINA511 Methods of Parallel Programming

Filozoficko-přírodovědecká fakulta v Opavě
zima 2025
Rozsah
2/0/0. 4 kr. Ukončení: zk.
Vyučující
doc. Ing. Petr Sosík, Dr. (přednášející)
Mgr. Daniel Valenta, Ph.D. (přednášející)
Garance
Mgr. Daniel Valenta, Ph.D.
Ústav informatiky – Filozoficko-přírodovědecká fakulta v Opavě
Rozvrh
St 16:30–18:10 LEI
Omezení zápisu do předmětu
Předmět je nabízen i studentům mimo mateřské obory.
Mateřské obory/plány
Cíle předmětu
Students will get familiar with principles of parallel programing, division of parallel systems according to the Flynn's taxonomy. Students will also get familiar with work in the PVM and MPI environment and technologies using graphics cards for the parallel computation such as CUDA, ATI FireStream, DirectCompute and OpenCL.
Výstupy z učení

After completing the course, the student will be able to:

  • explain principles and concepts of parallel programming,
  • describe the classification of parallel systems according to Flynn’s taxonomy,
  • characterize parallel computing architectures and their applications,
  • use PVM and MPI environments for parallel program development,
  • implement basic parallel programs using PVM and MPI technologies,
  • explain principles of GPU-based parallel computing,
  • apply GPU technologies such as CUDA, ATI FireStream, DirectCompute and OpenCL for parallel computation,
  • analyze and evaluate the performance of parallel applications on different platforms,
  • solve computational problems using parallel programming techniques and tools.

Osnova
1. Introduction to the principles - motivation of parallelization, terms definition 2. Flynn's taxonomy 3. Clusters 4. Parallel Virtual Machine a Message Passing Interface 5. CUDA technology 6. ATI FireStream technology 7. DirectCompute technology 8. OpenCL technology
Literatura
    povinná literatura
  • SCHMIDT, B., J. GONZÁLEZ-DOMÍNGUEZ, C. HUNDT a M. SCHLARB. Parallel Programming: Concepts and Practice. Cambridge, MA, Morgan Kaufmann Publishers, Elsevier, [2018]. ISBN 978-0-12-849890-3. https://books.google.cz/books?id=-y9HDgAAQBAJ
    doporučená literatura
  • Shane Cook. CUDA Programming: A Developer's Guide to Parallel Computing with GPUs (Applications of Gpu Computing). ISBN 978-0124159334. info
  • Ananth Grama, George Karypis , Vipin Kumar , Anshul Gupta. Introduction to Parallel Computing (2nd Edition). Pearson Education, 2003. info
Výukové metody
Interactive lecture. Lecture with a practical programming examples. Homework.
Metody hodnocení
Exam
Vyučovací jazyk
Angličtina
Předmět je zařazen také v obdobích zima 2021, zima 2022, zima 2023, zima 2024.
  • Statistika zápisu (nejnovější)
  • Permalink: https://is.slu.cz/predmet/fpf/zima2025/UINA511