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Postgraduate course

Parallel Programming

  • ECTS credits10
  • Teaching semesterSpring
  • Course codeINF236
  • Number of semesters1
  • LanguageEnglish
  • Resources

ECTS Credits

10

Level of Study

Bachelor/Master

Full-time/Part-time

Full-time

Teaching semester

Spring

Objectives and Content

Objectives:

The course gives an overview of the architectures and communication networks employed in parallel computers. The course covers the foundations for development of efficient parallel algorithms, including examples from relatively simple numerical problems, sorting, and graph problems. Adaption of algorithms to special computer architectures is discussed.

Content:

Relevant theory is covered in lectures together with examples of how one develops parallel computer programs. The students then solve programming problems themselves using parallel computers. A large part of the teaching is practically oriented.

Learning Outcomes

On completion of the course the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The student knows

  • the basic construction and use of parallel computers,
  • the content and use of the terminology for how one measures the performance of parallel algorithms and parallel computers,
  • how to develop computer programs for different types of parallel computers.

Skills

The student is able to

  • optimize sequential code for fastest possible execution.
  • analyze sequential programs and determine if they are worthwhile to parallelize.
  • develop, analyze, and implement algorithms for parallel computers. This applies both to computers with shared memory and with distributed memory.

General competence

The student

  • can analyze and perform development work related to the use of parallel computers.

Required Previous Knowledge

At least 60 ECTS in Computer Science and at least 10 ECTS in mathematics.

Recommended Previous Knowledge

INF234 or INF237

Access to the Course

Access to the course requires admission to a programme of study at The Faculty of Mathematics and Natural Sciences

Teaching and learning methods

The teaching is divided into a theoretical and a practical part. In both parts new material will be covered. Thus the student is expected to participate in all parts of the teaching.

The theoretical teaching is conducted in a lecture room, four hours a week, the practical teaching is conducted using the students own laptops.

Compulsory Assignments and Attendance

Obligatory exercises must be passed in order to take the final exam. There are valid for two subsequent semesters, starting from the semester in which they are approved. Students will be given access to parallel computers, but must also expect to use their own computers during the exercise sessions.

Forms of Assessment

Due to coronavirus situation the exam sprig semester will be digital oral examination. The obligatory activities count for 50% of the final grade. Both the obligatory activities and the exam must be passed to achieve a passing grade in the course. The students will be notified of the obligatory activities and their final weight in the grade at the beginning of the semester.

Examination Support Material

None

Grading Scale

The grading scale used is A to F. Grade A is the highest passing grade in the grading scale, grade F is a fail.

Assessment Semester

Examination both spring semester and autumn semester. In semesters without teaching the examination will be arranged at the beginning of the semester.

Reading List

The reading list will be available within June 1st for the autumn semester and December 1st for the spring semester

Course Evaluation

The course will be evaluated by the students in accordance with the quality assurance system at UiB and the department

Programme Committee

The Programme Committee is responsible for the content, structure and quality of the study programme and courses.

Course Coordinator

Course coordinator and administrative contact person can be found on Mitt UiB, or contact Student adviser

Course Administrator

The Faculty of Mathematics and Natural Sciences represented by the Department of Informatics is the course administrator for the course and study programme.

Contact

Contact Information

Student adviser:

mailto:studieveileder@ii.uib.no Student adviser

T: 55 58 42 00

Exam information

  • Type of assessment: Oral examination

    Date
    14.10.2020, 09:00
    Duration
    1 hours
    Withdrawal deadline
    30.09.2020
    Examination result announcement
    15.10.2020