TDT4200 - Parallel Computing


Examination arrangement

Examination arrangement: Aggregate score
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
School exam 80/100 4 hours E
Portfolio 20/100

Course content

Optimizing algorithms for both single and multi-processors systems as well as accellerators such as GPUs. Choosing numerical algoriths, use of optimized libraries, compiler optimizations and program profiling. How to take advantage of PC-clusters and graphics cards for computationally large tasks which cannot be run on a single processor system will also be covered. Parallel programming assignments in, among others, MPI and CUDA are included in this course.

Learning outcome

Understanding parallel programing is becoming increasingly more important as PCs and desktops incorporate multicore and multichip multiprocessor technology. Knowledge: The goal of this course is hence: To give the students a good understanding of optimzing serial programs and algorithms within computational science. Skills: Develop the students programming skills for and future multi- and many-core processor systems.

Learning methods and activities

Lectures and programming/theory assignments.

The course will be given in English. All problem sets, including obligatory activity, work/reports counting towards your final grade, and exams will be given in English.

Compulsory assignments

  • Excercises

Further on evaluation

All assignments must be done individually without help from anyone except course staff.

The two programming assignments are on MPI and CUDA and count towards your final grade. Feedback will be given on the assignments, as soon as practically possible during the semester.

You must pass all assignments as well as the final exam to pass the course.

If the grade is «Fail» after the re-sit exam, or the student wish to improve the grade, it is possible to re-take a part of the course.

Re-take finals may be converted to oral exams.

Course materials

Syllabus will be available at the start of the semester.

Credit reductions

Course code Reduction From To
SIF8044 7.5

Version: 1
Credits:  7.5 SP
Study level: Second degree level


Term no.: 1
Teaching semester:  AUTUMN 2024

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Technological subjects
Contact information
Course coordinator:

Department with academic responsibility
Department of Computer Science


Examination arrangement: Aggregate score

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD School exam 80/100 E INSPERA
Room Building Number of candidates
Autumn ORD Portfolio 20/100
Room Building Number of candidates
Summer UTS School exam 80/100 E INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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