IV100 Parallel and distributed computations

Faculty of Informatics
Autumn 2018
Extent and Intensity
2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
Teacher(s)
prof. RNDr. Rastislav Královič, Ph.D. (lecturer), prof. RNDr. Antonín Kučera, Ph.D. (deputy)
prof. RNDr. Ivana Černá, CSc. (assistant)
Guaranteed by
prof. RNDr. Mojmír Křetínský, CSc.
Department of Computer Science – Faculty of Informatics
Contact Person: prof. RNDr. Ivana Černá, CSc.
Supplier department: Department of Computer Science – Faculty of Informatics
Timetable
Mon 17. 9. to Mon 10. 12. each odd Monday 16:00–19:50 A217
Prerequisites
IB002 Algorithms I
IB002 (Design of algorithms), required. PB152 (Operating systems) recommended.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 70 student(s).
Current registration and enrolment status: enrolled: 0/70, only registered: 0/70, only registered with preference (fields directly associated with the programme): 0/70
fields of study / plans the course is directly associated with
Course objectives
The aim of the course is to introduce students into the field of distributed computation. It presents the basic concepts, problems and solutions. Algorithms for selected group of problems give the insight into the techniques used in the field and show how the various environments influence the quality and (un)solvability of the problem.
Syllabus
  • Distributed systems and distributed algorithms.
  • Communication protocols. Alternating-bit protocol, sliding-window protocol.
  • Routing algorithms. Routing tables and algorithms for their constructions. Floyd-Warshallův algorithm, shortest-path algorithm.
  • Distributed mutual exclusion. Distributed election algorithms. Ring networks and a general topology. Impact of synchrony. Impact of sense of direction.
  • Termination detection. Dijkstra-Scholten algorithm.
  • The problem of Byzantine generals and its (un)solvability in various environments.
Literature
  • BARBOSA, Valmir C. An introduction to distributed algorithms. Cambridge: MIT Press, 1996, xiii, 365. ISBN 0262024128. info
  • LYNCH, Nancy A. Distributed algorithms. San Francisco: Morgan Kaufmann Publishers, 1996, xxiii, 872. ISBN 1-55860-348-4. info
  • TEL, Gerard. Introduction to distributed algorithms. Cambridge: Cambridge University Press, 1994, xii, 534. ISBN 0521470692. info
  • LEIGHTON, Frank Thomson. Introduction to parallel algorithms and architectures :arrays, trees, hypercubes. San Mateo: Morgan Kaufmann Publishers, 1992, xviii, 831. ISBN 1-55860-117-1. info
Teaching methods
lectures, individual homeworks and projects aiming at practical skills with designe techniques
Assessment methods
The course has a form of the lecture. It is concluded by the written exam possibly combined with the oral exam.
Language of instruction
Slovak
Further Comments
Study Materials
The course is taught annually.
The course is also listed under the following terms Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, Autumn 2017, Autumn 2019, Autumn 2020, Autumn 2022, Autumn 2024.
  • Enrolment Statistics (Autumn 2018, recent)
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