Iterative Linear Solvers and Parallelisation

LRZ Building, courtesy LRZ
This on-site course has been canceled.

Due to low demand, we unfortunately have to cancel this on-site course. Please consider attending the on-site Parallel Programming Workshop (MPI, OpenMP and Advanced Topics) at HLRS on 10 – 14 October 2022  in Stuttgart covering part of the topics. LRZ is planning to offer the "Iterative Solvers for Linear Systems" part of the course by Prof. Dr. Andreas Meister as an on-line course later this year.

The focus of this on-site compact course at LRZ in Garching near Munich is on iterative and parallel solvers, the parallel programming models MPI and OpenMP, and the parallel middleware PETSc.

Thereby, different modern Krylov Subspace Methods (CG, GMRES, BiCGSTAB ...) as well as highly efficient preconditioning techniques are presented in the context of real life applications.

Hands-on sessions (in C, Fortran and Python) will allow users to immediately test and understand

  • the basic constructs of iterative solvers,
  • the Message Passing Interface (MPI) and
  • the shared memory directives of OpenMP (in C and Fortran).

This course provides scientific training in Computational Science, and in addition, the scientific exchange of the participants among themselves. It is organised by LRZ in cooperation with the University of Kassel, the high performance computing centre of Stuttgart (HLRS) and IAG.

Each participant will get a pdf version of the slides.

Location

Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities (LRZ)
Boltzmannstraße 1
D-85748 Garching near Munich, Germany

Start date

Aug 29, 2022
08:30

End date

Sep 02, 2022
15:30

Language

English

Entry level

Basic

Course subject areas

Community-Specific Courses

Parallel Programming

Topics

MPI

Numerical Methods

OpenMP

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Prerequisites and content levels

Prerequisites
  • Monday+Tuesday: Unix / C or Fortran (MPI: or Python)
  • Wednesday+Thursday: Basics of linear algebra / MATLAB or GNU Octave
  • Friday: Unix / C or Fortran
  • your own laptop for the hands-on sessions (details see lrz course website)
Content levels
  • Beginners: 12 hours
  • Intermediate: 5 hours 30 minutes
  • Advanced: 1 hour 45 minutes
  • Community-targeted: 18 hours 15 minutes

Learn more about course curricula and content levels.

Instructors

Prof. Dr. Andreas Meister (Uni. Kassel, Institute of Mathematitcs) and Dr. Rolf Rabenseifner (HLRS, Uni. Stuttgart).

Agenda

The preliminary agenda can be downloaded here.

Registration information

Register via the button at the top of this page.
Registration closes on August 15, 2022.

For further information, see also the LRZ course page.

Official course URL(s)

https://www.hlrs.de/training/2022/ITER-LRZ (at HLRS) and course page at LRZ

Contact

Please contact education(at)lrz.de

Further courses

See the training overview and the Supercomputing Academy pages.

 

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