The focus is on the programming models MPI and OpenMP. Hands-on sessions (in C, Fortran and Python) will allow users to immediately test and understand the basic constructs of 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. This course is organized by the University of Mainz in cooperation with HLRS. (Content Level: 45% for beginners, 30% intermediate, 20% advanced)
Zentrum für Datenverarbeitung (ZDV) Johannes Gutenberg-Universität Mainz Anselm-Franz-von-Bentzel-Weg 12 Room N33 55128 Mainz, Germany
Mar 22, 2022 08:30
Mar 25, 2022 18:00
Mainz, Germany
English
Basic
Parallel Programming
MPI
OpenMP
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Unix, C or Fortran
Learn more about course curricula and content levels.
Dr. Rolf Rabenseifner (Stuttgart, member of the MPI-2/3/4 forum).
The preliminary course outline can be found here (PDF download).
Each participant will get a copy of all slides. The MPI-1 part of the course is based on the MPI course developed by the EPCC Training and Education Centre, Edinburgh Parallel Computing Centre. If you want, you may also buy copies of the standards MPI-3.1 (Hardcover, 17 Euro). An older version of this course with most of the material (including the audio information) can also be viewed in the ONLINE Parallel Programming Workshop.
Registrations are accepted based on the following priority rule (highest to lowest): Uni. Mainz, Uni. Kaiserslautern, Rheinland-Pfalz, Uni. Frankfurt, other states of Germany. A final accept/reject e-mail will be sent after the end of the registration deadline.
Registration is available via the local course web-page in Mainz.
Registration closes on Feb. 20, 2022.
Members of German universities and public research institutes: none. Others: 780 EUR. (includes coffee breaks, will be collected on the first day of the course, cash only)
Dr. Christian Meesters hpc(at)uni-mainz.de (Zentrum fuer Datenverarbeitung)
https://www.hlrs.de/training/2022/MAINZ
See the training overview and the Supercomputing Academy pages.
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