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Lecturer(s)
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Demko Jan, doc. Ing. Ph.D.
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Course content
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1. Topology and architecture of a parallel system 2. Temporal logic and failure awareness 3. Manycore systems 4. Instruction-level paralelism 5. Vectorization 7. Transformation of ordered-variable problem to a parallelizable form 8. Parallel AI 9. Case study 10. Advanced techniques of distributed computing 11. Distribued intelligence
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Learning activities and teaching methods
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Lecture supplemented with a discussion, Skills demonstration, Task-based study method, Seminar classes, Individual study
- Preparation for an examination (30-60)
- 104 hours per semester
- Graduate study programme term essay (40-50)
- 52 hours per semester
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| prerequisite |
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| Knowledge |
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| aplikovat základní znalosti počítačových sítí |
| používat funkce operačního systému pro práci s vlákny |
| aplikovat znalosti základů operačních systémů |
| Skills |
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| programovat v pointerovém jazyce, např. C či C++ |
| nainstalovat a použít knihovnu jiného vývojáře |
| Competences |
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| N/A |
| learning outcomes |
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| Knowledge |
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| popsat možnosti paralelizace kódu pro SMP |
| popsat možnosti paralelizace pro CPU+GPGPU |
| orientovat v technologiích pro paralelní výpočty |
| popsat principy a vlastnosti paralelních a distribuovaných systémů, včetně plánování, koordinace, synchronizace a komunikace procesů, a způsoby komunikace běžnými síťovými protokoly |
| Skills |
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| rozhodnout se, jakou technologii použít pro vývoj paralelního programu |
| vytvořit paralelní program pro SMP CPU a GPGPU |
| Competences |
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| N/A |
| teaching methods |
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| Knowledge |
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| Self-study of literature |
| Lecture supplemented with a discussion |
| Task-based study method |
| Skills |
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| Students' portfolio |
| Individual study |
| Competences |
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| Lecture supplemented with a discussion |
| assessment methods |
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| Knowledge |
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| Written exam |
| Seminar work |
| Combined exam |
| Group presentation at a seminar |
| Skills |
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| Seminar work |
| Group presentation at a seminar |
| Individual presentation at a seminar |
| Combined exam |
| Competences |
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| Written exam |
| Combined exam |
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Recommended literature
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Ali Sunyaev. Internet Computing: Principles of Distributed Systems and Emerging Internet-Based Technologies. 2020. ISBN 978-3030349561.
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Björn Andrist, Viktor Sehr. C++ High Performance: Master the art of optimizing the functioning of your C++ code. 2020. ISBN 978-1839216541.
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Dahlia Malkhi. Concurrency: The Works of Leslie Lamport. 2019. ISBN 978-1450372701.
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James Reinders, Ben Ashbaugh, James Brodman, Michael Kinsner, John Pennycook, Xinmin Tian. Data Parallel C++: Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL. 2020. ISBN 978-1484255735.
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Peter Sanders, Kurt Mehlhorn, Martin Dietzfelbinger. Sequential and Parallel Algorithms and Data Structures: The Basic Toolbox. 2019. ISBN 978-3030252083.
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Rob H. Bisseling. Parallel Scientific Computation: A Structured Approach Using BSP. 2020. ISBN 978-0198788355.
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