course-details-portlet

TDT4200 - Parallel Computing

About

Examination arrangement

Examination arrangement: Portfolio assessment
Grade: Passed/Failed

Evaluation form Weighting Duration Examination aids Grade deviation
work 25/100
Home examination 75/100 4 hours

Course content

Optimizing algorithms for both single and multi-processors systems. 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. The course includes parallel programming asignments.

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

Lecture and programming assignments. The course will be given in English.

All problem sets and exams will be given in English.

Finals were provided electronically via Inspera staring autumn 2017. We expect the future finals also to be done electronically.

Compulsory assignments

  • Exercises

Further on evaluation

The programing assignments will count for one 4th of the final grade.
If there is a re-sit examination, the examination form may change from written to oral.
In the case that the student receives an F/Fail as a final grade after both ordinary and re-sit exam, then the student must retake the course in its entirety. Submitted work that counts towards the final grade will also have to be retaken.

Specific conditions

Exam registration requires that class registration is approved in the same semester. Compulsory activities from previous semester may be approved by the department.

Course materials

Syllabus will be available at the start of the semester.

Credit reductions

Course code Reduction From To
SIF8044 7.5
Facts

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

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2020

No.of lecture hours: 3
Lab hours: 2
No.of specialization hours: 7

Language of instruction: English

Location: Trondheim

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

Department with academic responsibility
Department of Computer Science

Phone:

Examination

Examination arrangement: Portfolio assessment

Term Status code Evaluation form Weighting Examination aids Date Time Digital exam Room *
Autumn ORD work 25/100
Room Building Number of candidates
Autumn ORD Home examination 75/100

Release 2020-11-26

Submission 2020-11-26

Release 15:00

Submission 19:00

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.
Examination

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

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