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
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.
Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities (LRZ) Boltzmannstraße 1 D-85748 Garching near Munich, Germany
29. Aug 2022 08:30
02. Sep 2022 15:30
Garching near Munich, Germany
Englisch
Basis
Community-spezifische Kurse
Paralleles Programmieren
MPI
Numerische Methoden
OpenMP
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Learn more about course curricula and content levels.
Prof. Dr. Andreas Meister (Uni. Kassel, Institute of Mathematitcs) and Dr. Rolf Rabenseifner (HLRS, Uni. Stuttgart).
The preliminary agenda can be downloaded here.
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.
https://www.hlrs.de/training/2022/ITER-LRZ (at HLRS) and course page at LRZ
Please contact education(at)lrz.de
See the training overview and the Supercomputing Academy pages.
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