AI for Science Bootcamp (online, 2nd run)
Contents
During this two-day online Bootcamp, participants will learn how to apply AI tools, techniques and algorithms to real-life problems. You will study the core concepts of Deep Neural Networks, how to build Deep Learning models as well as how to measure and improve the accuracy of your models. You 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 you will be guided through step-by-step instructions with teaching assistants on hand to help throughout.
Homepage of the bootcamp: https://www.gpuhackathons.org/event/nvidialrz-ai-science-bootcamp
The Bootcamp is co-organised by LRZ, HLRS, JSC, OpenACC.org and NVIDIA for EuroCC@GCS, the German National Competence Centre for High-Performance Computing.
Event Format
This 2-day Bootcamp will be hosted online in the Central European Time (CET) zone. All communication will be done through Zoom, Slack and email.
Agenda (Preliminary)
Day 1 (Intro) April 7, 2022: 09:00am - 12:00pm CET
09:00 AM - 09:15 AM: Welcome (Moderator)
09:15 AM - 09:30 AM: Connecting to a cluster
09:30 AM - 10:00 AM: Introduction to GPU computing (Lecture)
10:00 AM - 11:00 AM: Introduction to AI (Lecture)
11:00 AM - 12:00 PM: CNN Primer and Keras 101 (Lecture and Lab)
Day 2 (Advanced) February 2, 2022: 09:00am - 12:30pm CET
09:00 AM - 10:30 AM: Tropical cycle detection (Lab + Challenge)
10:30 AM - 10:45 AM: Break
10:45 AM - 12:15 PM: Steady Flow Estimation (Challenge)
12:15 PM - 12:30 PM: Wrap up and Q&A
Prerequisites
Basic experience with Python. No GPU programming or AI knowledge is required.
Hands-On
Attendees will be given access to a GPU cluster for the duration of the Bootcamp.
Language
English
Lecturers / Training Assistants
N.N. (NVIDIA)
PD Dr. Juan Durillo Barrionuevo, Dr. Elham Shojaei, Maja Piskac (LRZ)
Dr. Tobias Haas, Dr. Khatuna Kakhiani, Dr. Lorenzo Zanon (HLRS)
Dr. Alexandre Strube, Jan Ebert (JSC)
Registration
The course is open and free of charge for participants from academia and industry.
Please apply via the registration page with your official e-mail address to prove your affiliation.
The final participants will be selected and informed after the registration deadline (19 January) has passed.
This course is offered in cooperation by JSC, LRZ, HLRS, OpenACC.org, and NVIDIA. Registration is done via www.gpuhackathons.org hosted by OpenACC-Standard.org. Your registration data will be transferred to the above mentioned partners. For legal notes see Privacy Policy at www.gpuhackathons.org.