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DD2443 Parallel and Distributed Computing 7.5 credits

Administer About course

Advanced course in computer science on the theory, algorithms, and techniques of parallel and distributed computing systems.

Information per course offering

Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.

Termin

Information for Autumn 2025 pardis25 programme students

Course location

KTH Campus

Duration
25 Aug 2025 - 24 Oct 2025
Periods
P1 (7.5 hp)
Pace of study

50%

Application code

50320

Form of study

Normal Daytime

Language of instruction

English

Course memo
Course memo is not published
Number of places

Places are not limited

Target group

Open for students admitted to a master's programme as long as it can be included in your programme.

Planned modular schedule
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Schedule
Schedule is not published

Contact

Examiner
No information inserted
Course coordinator
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Teachers
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Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus DD2443 (Autumn 2023–)
Headings with content from the Course syllabus DD2443 (Autumn 2023–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

The course is an advanced course in parallel and distributed computations, dealing with the following subjects:

  • models, fundamental concepts and analytical methods for parallel and distributed systems, fundamental limitations and impossibility results
  • algorithms and protocols for commonly occurring computing problems in communication, synchronisation, fault tolerance, coordination, consensus and replication, sharing and security, and distributed storing.

The course assumes interest for programming and theoretical issues.

Intended learning outcomes

After passing the course, the student should be able to

  • account for models, limitations and fundamental concepts within parallel computations with communication based both on message passing and shared memory
  • apply and adapt existing algorithms and develop new algorithms for execution on parallel and distributed machines and analyse these algorithms with regard to correctness, security and performance.

Literature and preparations

Specific prerequisites

Knowledge in discrete mathematics, 6 higher education credits, equivalent to completed course SF1610/SF1630/SF1662/SF1679/SF1688.

Knowledge in algorithms and complexity, 7.5 higher education credits, equivalent to DD2350/DD2352/DD1352.

Recommended prerequisites

Basic knowledge of syncronization mechanisms in operating systems and programming languages (semaphors, locks, monitors).

Literature

You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

A, B, C, D, E, FX, F

Examination

  • TEN2 - Oral exam, 4.5 credits, grading scale: A, B, C, D, E, FX, F
  • UPP1 - Seminars, assignments and labs, 3.0 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Examiner

Profile picture Karl Palmskog

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

EECS/Computer Science

Main field of study

Computer Science and Engineering

Education cycle

Second cycle

Supplementary information

In this course, the EECS code of honor applies, see:
http://www.kth.se/en/eecs/utbildning/hederskodex