Parallel Programming
About the course
Parallel programming techniques are introduced. Models for parallel programming. Parallel machines and machine structures. Parallel programming languages, environments, libraries and toolboxes. Message passing and shared memory models of parallel computation. Data partitioning and load balancing techniques. Study of algorithm and program development of medium sized applications.
Admission requirements
Objectives of the course
Knowledge:
The student has knowledge of
- parallel programming concepts.
- various approaches to typical issues of parallel performance.
- parallel programming techniques.
- parallel algorithms.
- parallel architectures and their performance implications.
Skills:
The student can
- develop medium sized parallel applications.
- utilize parallel programming languages, environments and toolboxes on different parallel platforms.
General competence:
The student can
- understand typical issues of parallel performance and techniques to deal with the issues.
- understand pros and cons of different parallel programming techniques and parallel architectures.
Prerequisites
Credit reduction
If you pass the examination in this course, you will get an reduction in credits (as stated below), if you previously have passed the following courses:
- INF-3201 Parallel Programming 5 stp
- D-340 Distributed computations theory and practice 2 stp
Teaching methods
Language of instruction and examination
The language of instruction is English and all of the syllabus material is in English. Examination questions will be given in English, but may be answered either in English or a Scandinavian language.Recommended reading/syllabus
Syllabus and reading list are available in Fronter or by contacting the teacher or the student adviser.Application deadline
Assessment
A 4 hour final written exam counting 100%. Approved assignments give access to the final written exam.
Course requirements: The coursework includes up to 4 written assignments graded "Approved" / "Not approved". Oral presentation of the assignments and demonstration of a working system can be claimed.
Grading scale: Letter grades A-F.
Re-sit examination:
It will not be given a re-sit exam in the teaching free semester for this course, unless a postponed exam already is arranged (conditional re-sit exam). To get access to the exam in the teaching free semester the student must have passed the course requirements.
Postponed examination:
Given early in teaching free semester. It will be arranged a 4 hour written exam counting 100%. To get access to the exam in the teaching free semester the student must have passed the course requirements.
For further details see:
- Utfyllende bestemmelser for eksamener ved Fakultet for naturvitenskap og teknologi (only in Norwegian)
- Regulations for examinations at the UiT
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