Parallel and Distributed Programming
| Kód | Zakončení | Kredity | Rozsah | Jazyk výuky |
|---|---|---|---|---|
| NIE-PDP | Z,ZK | 6 | 2P+2C | anglicky |
- Garant předmětu:
- Pavel Tvrdík
- Přednášející:
- Pavel Tvrdík
- Cvičící:
- Michal Šoch, Pavel Tvrdík
- Předmět zajišťuje:
- katedra počítačových systémů
- Anotace:
-
21st century in computer architectures is primarily influenced by the shift of the Moore's law into parallelization of CPUs at the level of computing cores. Parallel computing systems are becoming a ubiquitous commodity and parallel programming becomes the basic paradigm of development of efficient applications for these platforms. Students get acquainted with architectures of parallel and distributed computing systems, their models, theory of interconnection networks and collective communication operations, and languages and environments for parallel programming of shared and distributed memory computers. They get acquianted with fundamental parallel algorithms and on selected problems, they will learn the techniques of design of efficient and scalable parallel algorithms and methods of performance evaluation of their implementations. The course includes a semester project of practical programming in OpenMP and MPI for solving a particular nontrivial problem.
- Požadavky:
-
Basic sequential algorithmics, programming, the C/C++programming language, complexity theory, computer architecture, graph theory.
- Osnova přednášek:
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1. Introduction into parallel and distributed programming.
2. Introduction into OpenMP.
3. Parallel algorithms for the state space search.
4. Prpgramming and performance tuning in OpenMP.
5. Parallel sorting in OpenMP.
6. Introduction into MPI.
7. Interconnection networks of parallel computers I.
8. Interconnection networks of parallel computers II.
9. Collective communication operations.
10. Parallel reduction and parallel scan. Parallel I/O.
11. Parallel algorithms in OpenMP/MPI I.
12. Parallel algorithms in OpenMP/MPI II.
- Osnova cvičení:
-
1. Design and implementation of a sequential algorithm in C/C++.
2. Design and implementation of a parallel algorithm using OpenMP task parallel constructs.
3. Design and implementation of a parallel algorithm using OpenMP data parallel constructs.
4. Design and implementation of a parallel algorithm using MPI on a cluster.
5. Analysis of parallel performance and scalability of the resulting program and writing a technical report.
- Cíle studia:
-
21st century in computer architectures is primarily influenced by the shift of the Moore's law into parallelization of CPUs at the level of computing cores. Parallel computing systems are becoming a ubiquitous commodity and parallel programming becomes the basic paradigm of development of efficient applications for these platforms. Students get acquainted with architectures of parallel and distributed computing systems, their models, theory of interconnection networks and collective communication operations, and languages and environments for parallel programming of shared and distributed memory computers. They get acquianted with fundamental parallel algorithms and on selected problems, they will learn the techniques of design of efficient and scalable parallel algorithms and methods of performance evaluation of their implementations. The course includes a semester project of practical programming in OpenMP and MPI for solving a particular nontrivial problem.
- Studijní materiály:
-
[1] Mattson, T.G. - Sanders, B.A. - Massingill, B.L.: Patterns for Parallel Programming. Addison-Wesley Professional. 2004. 978-0321940780.
[2] Kumar, V. - Grama, A. - Gupta, A. - Karpis, G.: Introduction to Parallel Computing: Design and Analysis of Parallel Algorithms. Benjamin-Cummings. 1994. 0805331700.
[3] Miller, R. - Boxer, L.: Algorithms Sequential and Parallel: A Unified Approach. Pearson Education. 1999. 0130863734.
[4] Wilkinson, B. - Allen, M.: Parallel Programming: Techniques and Applications Using Networked Workstations and Parallel Computers. Prentice Hall. 1998. 0136717101.
[5] Jaja, J.: An Introduction to Parallel Algorithms. Addison-Wesley. 1992. 0201548569.
- Poznámka:
- Rozvrh na zimní semestr 2023/2024:
- Rozvrh není připraven
- Rozvrh na letní semestr 2023/2024:
-
06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Po Út St Čt Pá - Předmět je součástí následujících studijních plánů:
-
- Master specialization Software Engineering, in English, 2021 (povinný předmět programu)
- Master specialization Computer Security, in English, 2021 (povinný předmět programu)
- Master specialization Computer Systems and Networks, in English, 2021 (povinný předmět programu)
- Master specialization Design and Programming of Embedded Systems, in English, 2021 (povinný předmět programu)
- Master specialization Computer Science, in English, 2021 (povinný předmět programu)
- Master Specialization Digital Business Engineering, 2023 (povinný předmět programu)