Training event for academia and industry
Co-organised by the High-Performance Computing Center Stuttgart (HLRS), Jülich Supercomputing Centre (JSC), Leibniz Supercomputing Centre (LRZ), Vienna Scientific Cluster (VSC), OpenACC organization, and NVIDIA for EuroCC Austria and EuroCC@GCS, the Austrian and German National Competence Centres for High-Performance Computing.
During this online bootcamp, participants will learn how to apply AI tools, techniques, and algorithms to real-life problems. Participants will be introduced to the critical concepts of deep neural networks, how to build deep learning models, and how to measure and improve the accuracy of your models. Participants will also learn essential data pre-processing techniques to ensure a robust machine-learning pipeline. This online bootcamp is a hands-on learning experience where instructors/teaching assistants guide you.
Agenda (subject to change)
17 April 2023 (Day 1) Intro:
11:30 – 12:30 Cluster Dry Run
13:30 – 13:45 Welcome (Moderator)
13:45 – 14:30 Introduction to GPU computing (Lecture)
14:30 – 15:30 Introduction to AI (Lecture)
15:30 – 17:00 CNN Primer and Keras (hands-on lab)
18 April 2023 (Day 2) Advanced:
13:30 – 15:00 Tropical cycle detection (Lab + Challenge)
15:00 – 15:15 Break
15:15 – 16:45 Steady Flow Estimation (Challenge)
16:45 – 17:00 Wrap up and QA
This 2-day Bootcamp will be hosted online in the Central European Summer Time (CEST) zone. All communication will be done through Zoom, Slack, and email.
– Basic experience with Python.
– No GPU Programming or AI knowledge is required.
Attendees will be given access to a GPU cluster for the duration of the Bootcamp.
– Lecturers will be from NVIDIA.
– Teaching assistants will be from the HPC centres: HLRS, JSC, LRZ, VSC.
Prices and eligibility:
This course is open and free of charge for participants from academia and industry from the Member States (MS) of the European Union (EU) and Associated/Other Countries to the Horizon 2020 programme. Participants from Austria are eligible for free participation.
Please apply via the openhackathons.org registration page with your official email address to prove your affiliation: https://www.openhackathons.org/s/siteevent/a0C5e000007ZVY2EAO/se000174
The final participants will be selected and informed after the registration deadline has passed.
The application deadline is March 28, 2023.
The course material will be available at course start.
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