Course - Parallel Computing - TDT4200
TDT4200 - Parallel Computing
About
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.
Recommended previous knowledge
Operation systems and algorithms & data structures are recommended, but if you have a strong math background, that should offset any potential extra workload.
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
- Technological subjects
Department with academic responsibility
Department of Computer Science
Examination
Examination arrangement: Aggregate score
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD School exam 80/100 E 2024-12-03 15:00 INSPERA
-
Room Building Number of candidates SL310 hvit sone Sluppenvegen 14 12 SL310 lilla sone Sluppenvegen 14 80 SL310 blå sone Sluppenvegen 14 14 -
Autumn
ORD
Portfolio
20/100
Submission
2024-11-20
14:00 -
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"