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DD2358 Introduction to High Performance Computing 7.5 credits

A second course covering algorithms and techniques for high performance computing.

Choose semester and 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.


For course offering

Spring 2025 hpc24 programme students

Application code


Headings with content from the Course syllabus DD2358 (Spring 2019–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

Computer architecture, efficient programming for scientific computations, parallel algorithms, message passing, OpenMP, visualization, magnification of Large Amounts of Data, Grid computing, tools for high performance computing.

Introduction to the hardware and the software at CSC and PDC on different platforms.

Intended learning outcomes

The aim of the course is to give an introduction to Skills That are Necessary for anyone who Should use high performance computers in own projects.

On completion of the course, you shouldhave Learned to

  • analyze a given problem to find possibilities for parallelisation
  • Choose algorithms and hardware to solve computationally intensive problems
  • Program computers with shared and distributed memory
  • Efficiently use Appropriate programming languages for scientific computations
  • run parallel programs on different hardware architectures and software environments
  • estimate the performance in different implementations
  • Optimize the performance of programs.

Literature and preparations

Specific prerequisites

No information inserted

Recommended prerequisites

No information inserted


No information inserted


Come That be announced on the course web at least 4 weeks before the start of the course.

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


  • LAB1 - Laboratory Assignments, 3.0 credits, grading scale: P, F
  • LAB2 - Project, 4.5 credits, grading scale: A, B, C, D, E, FX, 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.

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

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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

Main field of study

Computer Science and Engineering

Education cycle

Second cycle

Add-on studies

No information inserted


Stefano Markidis,

Supplementary information

In this course, the EECS code of honor applies, see: