FI:IV112 Parallel programming project - Course Information
IV112 Project on programming parallel applications
Faculty of InformaticsAutumn 2018
- Extent and Intensity
- 0/5/0. 5 credit(s) (plus extra credits for completion). Type of Completion: z (credit).
- Teacher(s)
- prof. RNDr. Jiří Barnat, Ph.D. (lecturer)
RNDr. Henrich Lauko, Ph.D. (assistant) - Guaranteed by
- prof. RNDr. Mojmír Křetínský, CSc.
Department of Computer Science – Faculty of Informatics
Supplier department: Department of Computer Science – Faculty of Informatics - Timetable
- Tue 18:00–19:50 A417
- Prerequisites
- A participant is expected to be familiar with concepts of threads and processes, parallelism and is also expected to have some programming skills in C, or C++.
- 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 40 student(s).
Current registration and enrolment status: enrolled: 0/40, only registered: 0/40, only registered with preference (fields directly associated with the programme): 0/40 - fields of study / plans the course is directly associated with
- Applied Informatics (programme FI, B-AP)
- Applied Informatics (programme FI, N-AP)
- Information Technology Security (eng.) (programme FI, N-IN)
- Information Technology Security (programme FI, N-IN)
- Bioinformatics (programme FI, B-AP)
- Bioinformatics (programme FI, N-AP)
- Information Systems (programme FI, N-IN)
- Informatics with another discipline (programme FI, B-BI)
- Informatics with another discipline (programme FI, B-EB)
- Informatics with another discipline (programme FI, B-FY)
- Informatics with another discipline (programme FI, B-GE)
- Informatics with another discipline (programme FI, B-GK)
- Informatics with another discipline (programme FI, B-CH)
- Informatics with another discipline (programme FI, B-IO)
- Informatics with another discipline (programme FI, B-MA)
- Informatics with another discipline (programme FI, B-SO)
- Informatics with another discipline (programme FI, B-TV)
- Informatics (eng.) (programme FI, D-IN4)
- Informatics (programme FI, B-IN)
- Informatics (programme FI, D-IN4)
- Informatics (programme FI, M-IN)
- Informatics (programme FI, N-IN)
- Mathematical Informatics (programme FI, B-IN)
- Material Chemistry (Eng.) (programme PřF, N-CH3)
- Parallel and Distributed Systems (programme FI, B-IN)
- Parallel and Distributed Systems (programme FI, N-IN)
- Computer Graphics and Image Processing (programme FI, B-IN)
- Computer Graphics (programme FI, N-IN)
- Computer Networks and Communication (programme FI, B-IN)
- Computer Networks and Communication (programme FI, N-IN)
- Computer Systems and Technologies (eng.) (programme FI, D-IN4)
- Computer Systems and Technologies (programme FI, D-IN4)
- Computer Systems and Data Processing (programme FI, B-IN)
- Computer Systems (programme FI, N-IN)
- Embedded Systems (eng.) (programme FI, N-IN)
- Programmable Technical Structures (programme FI, B-IN)
- Embedded Systems (programme FI, N-IN)
- Service Science, Management and Engineering (eng.) (programme FI, N-AP)
- Service Science, Management and Engineering (programme FI, N-AP)
- Social Informatics (programme FI, B-AP)
- Theoretical Informatics (programme FI, N-IN)
- Upper Secondary School Teacher Training in Physical Education (programme FSpS, M-TV)
- Upper Secondary School Teacher Training in Informatics (programme FI, M-SS)
- Upper Secondary School Teacher Training in Informatics (programme FI, M-TV)
- Upper Secondary School Teacher Training in Informatics (programme FI, N-SS) (2)
- Artificial Intelligence and Natural Language Processing (programme FI, B-IN)
- Artificial Intelligence and Natural Language Processing (programme FI, N-IN)
- Image Processing (programme FI, N-AP)
- Course objectives
- The goal of the course is to expose students to a couple of problems related to parallel programing and let them solve these problems individualy.
- Learning outcomes
- Students will gain practical experience with programming of parallel aplications and solutions of related algorithmic problems.
- Syllabus
- Initial kick-off meeting; definition of projects and deadlines; work on the projects; final discussion.
- Literature
- HERLIHY, Maurice and Nir SHAVIT. The art of multiprocessor programming. Amsterdam: Elsevier, 2008, xx, 508. ISBN 9780123705914. info
- WONG, Henry. Java threads. Edited by Scott Oaks. 3rd ed. Sebastopol, CA: O'Reilly & Associates, 2004, 340 s. ISBN 0596007825. info
- QUINN, Michael J. Parallel programming in C with MPI and OpenMP. Boston: Higher Education, 2004, xiv, 529. ISBN 0072822562. info
- Teaching methods
- Students work on the projects on their own at home and consult relevant problems they encounter with the teacher.
- Assessment methods
- To be given the credit, the student has to submit a solution to every project defined during the term. The solution to a project must be of an appropriate quality which is judged by the teacher. Each project has a firm submission deadline. The project is announced at least two weeks prior the deadline, and the form of submission is specified as part of the project definition. Each student may at most once ask the teacher to check the quality of a project solution, however, this must be done no later than a week prior the deadline of the project. Should the teacher be unsatisfied with the quality of the solution at the date of deadline, or should the solution be submitted after the deadline, the student may submit the solution once again within the special deadline specified by the teacher during the first two weeks of the semester (typically 12th week of the semester). However, this option may be utilized at most twice by each student.
- Language of instruction
- Czech
- Further Comments
- Study Materials
The course is taught annually.
- Enrolment Statistics (Autumn 2018, recent)
- Permalink: https://is.muni.cz/course/fi/autumn2018/IV112