BOOTCAMP: N-Ways to GPU Programming

This Bootcamp will be held online with Zoom. Cluster Dry Run already on Tue, Apr 2.

During this two-day online Bootcamp, four different GPU programming models will be introduced and participants will be able to choose the one that best fits their needs to run their scientific codes on GPUs. This Bootcamp will cover an introduction to GPU programming using OpenACC, OpenMP, stdpar and CUDA, and will provide hands-on opportunities to learn how to analyse GPU-enabled applications using NVIDIA® Nsight™ Systems. 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 Vienna, RISE, LiU, and NVIDIA for EuroCC Austria, EuroCC@GCS and EuroCC Sweden, all National Competence Centres for High-Performance Computing.


Online course
Organizer: HLRS, University of Stuttgart, Germany

Start date

Apr 03, 2024

End date

Apr 05, 2024



Entry level


Course subject areas

Parallel Programming



Code Optimization

GPU Programming



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Prerequisites and content levels


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.


Main lecturers: Paul Graham (NVIDIA)

Teaching Assistants:

  • Claudia Blaas-Schenner, Siegfried Höfinger, Moritz Siegel, Soner Steiner, Ivan Vialov (VSC Vienna)
  • Tobias Haas, Lorenzo Zanon, Lucienne Dettki, Maksym Deliyergiyev (HLRS)
  • Jan-Oliver Mirus, Luis Cifuentes, Kaveh Haghighi-Mood, Jayesh Badwaik (JSC)
  • Volker Weinberg (LRZ)
  • Qiang Li, Yonglei Wang (ENCCS/LiU)


- preliminary -

All times in CEST:

Day 0 (Tue, Apr 2) : Cluster Dry Run

  • 11:00 - 12:00 Cluster Dry Run Session

Day 1 (Wed, Apr 3): Introduction

  • 09:00 - 09:05 Welcome (Moderator)
  • 09:05 - 09:30 Introduction to GPU computing (Lecture)
  • 09:30 - 10:00 Introduction to Nsight Systems (Lecture and Read only Lab)
  • 10:30 - 11:00 Accelerating Standard C++ and Fortran with GPUs (Lecture and Lab)
  • 11:00 - 11:30 Wrap Up and QA

Day 2 (Thu, Apr 4): Hands-on labs

  • 09:00 - 10:30 Directive Based Programming with OpenACC on GPU (Lecture and Lab)
  • 10:30 - 12:30 CUDA C/Fortran Programming (Lecture and Lab)
  • 12:30 - 12:45 Description of code challenge
  • 12:45 - 13:00 Wrap up and QA

Day 3 (Fri, Apr 5): Challenge: Hands-on

  • 09:00 - 12:00 Code Challenge (in the break-out rooms)
  • 09:00 - 09:30 Targeting GPUs from Python
  • 12:00 - 12:30 QA about Code Challenge
  • 12:30 - 13:00 Project Discussion (Optional)

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.

Registration closes on February 20, 2024 at 23:55.


  • 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.


Maksym Deliyergiyev phone 0711 685 87261, maksym.deliyergiyev(at)

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.

Official course URL(s) and course website at Open Hackathons.

Further courses

See the training overview and the Supercomputing Academy pages.

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