DD2358 Introduction to High Performance Computing 7.5 credits

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.

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.

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

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

• 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.

Stefano Markidis

• 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.

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