BOOTCAMP: AI for Science Bootcamp

This Bootcamp will be held online with Zoom.

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.

The Bootcamp is co-organised by HLRS, JSC, LRZ, VSC, OpenACC.org and NVIDIA for EuroCC Austria and EuroCC@GCS, the Austrian and German National Competence Centres for High-Performance Computing.

Veranstaltungsort

Online course
Organizer: HLRS, University of Stuttgart, Germany

Veranstaltungsbeginn

17. Apr 2023
11:30

Verstaltungsende

18. Apr 2023
17:00

Sprache

Englisch

Einstiegslevel

Mittel

Themenbereiche

Daten in HPC / Deep Learning / Maschinelles Lernen

Themen

Künstliche Intelligenz

Big Data

Deep Learning

Maschinelles Lernen

Scientific Machine Learning

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Prerequisites and content levels

Prerequisites

Basic experience with Python. No GPU programming or AI knowledge is required.
Some Machine and Deep Learning knowledge is an advantage.

Content levels
  • Intermediate level: 3,5 hours
  • Advanced level: 3,5 hours

Learn more about course curricula and content levels.

Instructors

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)

Agenda

CEST time:

Cluster Dry Run: Monday, April 17: 11:30 AM - 12:30 PM

Day 1 (April 17, afternoon): Introduction

  • 1:30 PM - 1:45 PM: Welcome (Moderator)
  • 1:45 PM - 2:30 PM: Introduction to GPU computing (Lecture)
  • 2:30 PM - 3:30 PM: Introduction to AI (Lecture)
  • 3:30 PM - 5:00 PM: CNN Primer and Keras (hands-on lab)

Day 2 (April 18, afternoon): Advanced Topics

  • 1:30 PM - 3:00 PM: Tropical cycle detection (Lab + Challenge)
  • 3:00 PM - 3:15 PM: Break
  • 3:15 PM - 4:45 PM : Steady Flow Estimation (Challenge)
  • 4:45 PM - 5:00 PM: Wrap up and QA

Hands-on sessions

Attendees will be given access to a GPU cluster for the duration of the Bootcamp.

The code is publicly available on github (climate and CFD test-cases).

Registration information

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.

Fees

This event is free of charge.

Contact

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 Training Collaborations in HPC

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.

Further courses

See the training overview and the Supercomputing Academy pages.

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