IB109 Design and Implementation of Parallel Systems

Faculty of Informatics
Spring 2020
Extent and Intensity
2/0/0. 2 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium).
Teacher(s)
prof. RNDr. Jiří Barnat, Ph.D. (lecturer)
prof. RNDr. Ivana Černá, CSc. (assistant)
Guaranteed by
prof. RNDr. Jiří Barnat, Ph.D.
Department of Computer Science - Faculty of Informatics
Contact Person: prof. RNDr. Jiří Barnat, Ph.D.
Supplier department: Department of Computer Science - Faculty of Informatics
Timetable
Mon 17. 2. to Fri 15. 5. Wed 16:00–17:50 D1
Prerequisites
The knowledge of low-level programming in C is expected at the level PB071.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 61 fields of study the course is directly associated with, display
Course objectives
The goal of this course is to introduce to students the principles of design and implementation of parallel systems and get them acquainted with the programmer's means for their development.
Learning outcomes
On successful completion, students should understand the principles of design and implementation of parallel algorithms and should have limited experience with programmer's means for their development. In particular, students should be able to design and implement their own parallel applications, they should know how to use selected libraries supporting the development of parallel applications, and should be able to explain what is behind the API calls to such libraries.
Syllabus
  • Motivation for parallel computing. Parallel algorithm design -- decomposition and communication. Analyzes of parallel algorithms. Parallel algorithms in shared-memory.OpenMP, Intel TBB. POSIX Threads. Lock-free algorithmics. Parallel algorithms in distributed-memory. Message Passing Interface (MPI). Examples of parallel graph algorithms. Parallel algorithms for many-core platforms.
Literature
  • HERLIHY, Maurice and Nir SHAVIT. The art of multiprocessor programming. Amsterdam: Elsevier, 2008. xx, 508. ISBN 9780123705914. info
Teaching methods
lectures, tutorial demonstrations
Assessment methods
The course is completed with a written exam.
Language of instruction
Czech
Further Comments
Study Materials
The course is taught annually.
Listed among pre-requisites of other courses
Teacher's information
http://www.fi.muni.cz/~xbarnat/IB109/index.html
The course is also listed under the following terms Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2021.
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