01. Dez. 2022
08:45
02. Dez. 2022
13:30
Englisch
Basis
Themenbereiche ThemenKünstliche Intelligenz
Big Data
Code-Optimierung
Deep Learning
Maschinelles Lernen
Knowledge of one C/C++/Fortran. For the AI part, knowledge of Python might be a plus.
Intermediate: 8 hours.
Holger Berger, Erich Focht, and Patrick Lipka from NEC Deutschland GmbH
After this course, participants will:
All times are local times in the central European time zone (Berlin). The preliminary schedule is as follows.
08:45 - 09:00 Drop in to Zoom
09:00 - 13:30 Lectures and exercises
08:45 - 09:00 Drop in to Zoom
09:00 - 13:30 Lectures and exercises (Advanced topics, AI/ML/DL support, hybrid MPI)
Topics on the two days include
Apply for this course via the button at the top of this page (will be available soon).
Registration closes on November 17, 2022 (extended registration phase).
Late registrations after that date are still possible according to the course capacity, possibly with reduced quality of service.
This course is free of charge.
Tobias Haas phone 0711 685 87223, tobias.haas(at)hlrs.de
Khatuna Kakhiani phone 0711 685 65796, kakhiani(at)hlrs.de
HLRS is part of the Gauss Centre for Supercomputing (GCS), which is one of the six PRACE Advanced Training Centres (PATCs) that started in Feb. 2012.
HLRS is also member of the Baden-Württemberg initiative bwHPC.
This course is not part of the PATC curriculum and is not sponsored by the PATC program.
See the training overview and the Supercomputing Academy pages.
See also information about the HLRS training department and staff.
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