17. Apr. 2023
11:30
18. Apr. 2023
17:00
Englisch
Mittel
ThemenbereicheDaten in HPC / Deep Learning / Maschinelles Lernen
ThemenKünstliche Intelligenz
Big Data
Deep Learning
Maschinelles Lernen
Scientific Machine Learning
Basic experience with Python. No GPU programming or AI knowledge is required.
Some Machine and Deep Learning knowledge is an advantage.
Main lecturer: Miguel Martinez (NVIDIA)
Teaching assistants:
Troy Crutcher (NVIDIA), Alexandre Strube, Fritz Niesel (JSC), Layal Ali, Tobias Haas, Khatuna Kakhiani (HLRS), Maja Piskac, Florent Dufour, Naweiluo Zhou, Navdar Karabulut (LRZ), Simeon Harrison, Soner Steiner, Ivan Vialov (VSC Vienna)
CEST time:
Cluster Dry Run: Monday, April 17: 11:30 AM - 12:30 PM
Day 1 (April 17, afternoon): Introduction
Day 2 (April 18, afternoon): Advanced Topics
The course is open and free of charge for participants from academia and industry.
Please register at OpenACC-Standard.org via the button at the top of this page with your institutional e-mail address to prove your affiliation.
The final participants will be selected and informed after the registration deadline has passed.
This course is offered in cooperation by HLRS, JSC, LRZ, VSC, OpenACC.org and NVIDIA. Registration is done via www.gpuhackathons.org hosted by OpenACC-Standard.org. Your registration data will be transferred to these partners. For legal notes see the Privacy Policy.
Registration closes on March 28, 2023 at 23:55.
This event is free of charge.
Lorenzo Zanon, phone 0711 685 63824, zanon@hlrs.de
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), together with JSC in Jülich and LRZ in Garching near Munich. EuroCC@GCS is the German National Competence Centre (NCC) for High-Performance Computing. HLRS is also a member of the Baden-Württemberg initiative bwHPC.
This course is provided within the framework of EuroCC2.
See the training overview and the Supercomputing Academy pages.
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