DD2358 Introduction to High Performance Computing 7.5 credits

Introduktion till högprestandaberäkningar

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

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Course information

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.

Course Disposition

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Literature and preparations

Specific prerequisites *

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Recommended prerequisites

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Equipment

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Literature

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

Examination *

  • 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

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Opportunity to raise an approved grade via renewed examination

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Examiner

Stefano Markidis

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 DD2358

Offered by

EECS/Computer Science

Main field of study *

Computer Science and Engineering

Education cycle *

Second cycle

Add-on studies

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Contact

Stefano Markidis, markidis@kth.se

Supplementary information

This course is held August 19-30 2019.

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