Lecture HPC Introduction

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Revision as of 12:59, 16 March 2018 by Harfst (talk | contribs) (added lecture SoSe 2018)
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Overview

The lecture Introduction to High-Performance Computing (HPC) is aimed at MSc or PhD students who are working on a numerical research topic and plan to use/are already using the local (or other) HPC cluster. The course gives a general introduction to HPC and includes many practical exercises on the local HPC systems.

Topics

The topics of the lecture include:

  • Using HPC Clusters
  • Parallel Programming Models
  • Introduction to MPI
  • Introduction to OpenMP
  • Using Matlab Distributed Compute Server (MDCS)
  • GPU Computing
  • Data Storage and Management

Organisation

The lecture is held currently every summer semester. Please go to Stud.IP for more details and course registration:

Since summer semester 2018, the course is part of the module pyh350 (Vertiefungsmodul II) and you can earn 3 credit points (KP) for the course (without a grade, requirements for certification of participation will be explained in the beginning of the course).

Course language is English (unless everyone is happy with German).

No script is available (yet) but the lecture slides will be made available.

Literature

will follow