In

ScaDS.AI-Tutorial: Efficient Parallel Hyperparameter Optimization with OmniOpt on HPC

Datum
09.05.2023
Zeit
10:00 - 15:30
Sprecher
Dr. Peter Winkler, Norman Koch
Zugehörigkeit
ScaDS.AI Dresden/Leipzig
Serie
ScaDS.AI Training
Sprache
en
Hauptthema
Informatik
Beschreibung
In this training the hyper-parameter (HP) optimisation tool OmniOpt is introduced. OmniOpt is a tailor-made solution for the high performance computing (HPC) cluster Taurus of TU Dresden which allows to optimise the HPs of a wide range of problems, ranging from neural networks to classical simulations. Thereby, the emphasis is on versatility, flexibility (as regards the type of application to be optimised and the choice of its HPs) and user-friendliness. The use of the HPC system Taurus with its vast resources of GPUs, CPUs and storage assures that even large problems may be handled within a moderate computation time. Moreover, there is a variety of tools for the automatic analysis and graphical representation of the optimisation results. This training is suitable for researchers as well as for students with basic knowledge in Linux and a command-line based programming language, e.g. Python or C. Researchers who bring their own code to be optimised, are highly welcome. After a general introduction into HPC and OmniOpt, the main part of the training will be a hands-on session, where the participants can try out the tool in practice. Registration is required. Participation is free.
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Letztmalig verändert: 31.01.2023, 09:07:05

Veranstaltungsort

TUD Andreas-Pfitzmann-Bau (Informatik) (TU Dresden Fakultät Informatik Andreas-Pfitzmann-Bau ScaDS.AI Living Lab (APB-1020) Nöthnitzer Str. 46 01187 Dresden Deutschland)Nöthnitzer Straße4601069Dresden
Homepage
https://navigator.tu-dresden.de/etplan/apb/00

Veranstalter

Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI)Chemnitzer Straße46b, 2. OG01187Dresden
Telefon
+49 351 463-40900
E-Mail
ScaDS.AI
Homepage
https://scads.ai
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