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DN2258 Introduction to High Performance Computing 7.5 credits

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

Course offering missing for current semester as well as for previous and coming semesters
Headings with content from the Course syllabus DN2258 (Autumn 2009–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

Computer architecture, efficient programming for scientific computing, parallel algorithms, message passing, OpenMP, visualization, mass storage, GRID-computing, HPC tools.

An introduction to the hardware and software at CSC and PDC on various platforms.

Intended learning outcomes

The goal of this course is to give the student a basic introduction to the skills needed to utilize high performance computing resources for own projects.

After the course you are able to

  • analyze a given problem for possibilities of parallel computations
  • select algorithms and hardware for the solution of high performance projects
  • program computers with shared and distributed memory architectures
  • use appropriate programming languages efficiently for scientific computations
  • run parallel programs on different hardware architectures and software environments 
  • assess the performance of implementations
  • optimize the performance of codes.

Course disposition

No information inserted

Literature and preparations

Specific prerequisites

Single course students: 90 university credits including 45 university credits in Mathematics or Information Technology. English B, or equivalent.

Recommended prerequisites

DN1212 or DN1240 (or corresponding) and experience from C, C++, Fortran.


No information inserted


Kommer att annonseras på kursens hemsida minst 4 veckor innan kursen startas.

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.

In this course all the regulations of the code of honor at the School of Computer science and Communication apply, see:

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted


Profile picture Erwin Laure

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 web

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Course web DN2258

Offered by

CSC/Numerical Analysis

Main field of study


Education cycle

Second cycle

Add-on studies

Please discuss with the instructor.


Stefano Markidis,

Supplementary information

The course is given during 2 weeks in the summer followed by a project work during autumn. The number of participants is limited.

Please note that the course starts in the middle of August!