Höchstleistungsrechenzentrum Stuttgart: BOOTCAMP: N-Ways to GPU Programming

Prerequisites and content levels

Prerequisites

Basic experience with C/C++ or Fortran. No GPU programming knowledge is required.

Content levels

Beginners level: 9 hours

Learn more about course curricula and content levels.

Instructors

Main lecturers: Paul Graham (NVIDIA)

Event Moderator: Claudia Blaas-Schenner (VSC Research Center, TU Wien and EuroCC-Austria)

Agenda

All times in CEST:

Day 0 (Mon, Apr 7) : Cluster Dry Run

14:00 - 15:00 Cluster Dry Run Session

Day 1 (Tue, Apr 8): Introduction

08:45 - 09:00 Join in
09:00 - 09:15 Welcome (Moderator)
09:15 - 09:45 Introduction to GPU computing (Lecture)
09:45 - 10:15 Introduction to Nsight Systems (Lecture and Read only Lab)
10:15 - 11:15 Accelerating Standard C++ and Fortran with GPUs (Lecture and Lab)
11:15 - 11:30 Break
11:30 - 13:00 Directive Based Programming with OpenACC on GPU (Lecture and Lab)
13:00 - 14:00 Lunch
14:00 - 15:45 CUDA C/Fortran Programming (Lecture and Lab)
15:45 - 16:00 Wrap up and QA

Day 2 (Wed, Apr 9): Hands-on labs

08:45 - 09:00 Join in
09:00 - 12:00 Code Challenge (in the break-out rooms)
12:00 - 12:30 QA about Code Challenge
12:30 - 13:00 Project Discussion (Optional)

Hands-on sessions

Attendees will be given access to an A100 GPU on one of the supercomputers of the organizers.

The code is publicly available on github.

Registration information

Register via the button at the top of this page.

Registration for this training event is handled by EuroCC Austria.

You will get an automatic email confirming that we have received your application (subject starting with "[Indico] Registration"), please check your Spam/Junk folders.

Please be aware that the Zoom session will be recorded. You declare that you are aware of and consent to the recording by registering.

Registration closes on March 10, 2025 at 23:55.

We will inform you until 24 March 2025 about your acceptance for the bootcamp.

Fees

Students without Master's degree or equivalent. Participants from EU or EuroCC countries only: 0 EUR
PhD students or employees at a German university or public research institute: 0 EUR
PhD students or employees at a university or public research institute in an EU or EuroCC country other than Germany: 0 EUR.
Other participants, e.g., from industry, other public service providers, or government. Participants from EU or EuroCC countries only: 0 EUR

Our course fee includes coffee breaks (in classroom courses only).

For lists of EU and EuroCC countries have a look at the Horizon Europe and EuroCC website.

Only participants from institutions belonging to these countries can take part in this course.

Contact

Maksym Deliyergiyev phone 0711 685 87261, training(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.

Acknowledgements

Within the scope of the EuroCC2 project this training is offered free of charge. By participating in a training free of charge, companies receive state-aid corresponding to the regular market-prices listed in the service portfolio. Please note state-aid regulations in Germany.

EuroCC 2 and EuroCC4SEE have received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101101903 and No 101191697. The JU receives support from the European Union’s Digital Europe Programme and Germany, Bulgaria, Austria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Greece, Hungary, Ireland, Italy, Lithuania, Latvia, Poland, Portugal, Romania, Slovenia, Spain, Sweden, France, Netherlands, Belgium, Luxembourg, Slovakia, Norway, Türkiye, Republic of North Macedonia, Iceland, Montenegro, Serbia, Bosnia and Herzegovina.

Official course URL(s)

https://events.vsc.ac.at/e/N-Ways-GPU-2025-04

Further courses

See the training overview and the Supercomputing Academy pages.