The focus of this on-site course is on modern iterative solvers for large linear systems of equations. Thereby, beside classical schemes and fundamentals of multigrid techniques 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 (MATLAB and GNU Octave respectively) will allow users to immediately test and understand the basic constructs of iterative solvers. This course is co-organised by LRZ and HLRS.
Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities (LRZ) Boltzmannstraße 1 D-85748 Garching near Munich, Germany
17. Sep 2024 09:00
18. Sep 2024 15:30
Garching near Munich, Germany
Englisch
Basis
Domain-spezifische Kurse
Numerische Methoden
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Basics of linear algebra Basic knowledge of MATLAB or GNU Octave
Learn more about course curricula and content levels.
Prof. Dr. Andreas Meister from the University of Kassel
The program is available here.
Topics covered include:
Participants are expected to use their own machines or institute clusters.
A recent version of MATLAB or GNU OCTAVE (available for free) should be installed.
Further information about this course at LRZ, see here.
Registration and further courses via online registration form at LRZ.
Registration is open until 03.09.2024 23:55.
education(at)lrz.de
https://www.hlrs.de/training/2024/ITER-LRZ and at LRZ: https://app1.edoobox.com/LRZ/Onsite%20Courses/Course.ed.dfe2e57f1d96_8531963704
See the training overview and the Supercomputing Academy pages.
