OpenMP is one major option how to use GPUs to accelerate/offload computations on today's heterogenous computer systems. This course will give an introduction to the AMD Instinct™ GPU and Accelerated Processing Unit (APU) architectures to lay foundations of how GPUs work and can be used for offloading in OpenMP. New features of recent OpenMP versions and GPUs such as the unified memory programming model will be introduced, which make writing HPC applications much easier for a wide range of GPU programming models. In addition, tools for performance analysis and optimization will be presented.
This course targets beginners in GPU programming with basic knowledge of parallelization with OpenMP and/or MPI on CPUs. After this course you will have learned the basics to confidently start porting your application from a CPU only system to systems with discrete GPU accelerators or APUs.
In this course, participants will
Online course Organizer: HLRS, University of Stuttgart, Germany
22. Okt 2024 09:00
22. Okt 2024 15:30
Online
Englisch
Basis
Bootcamp/Hackathon
Code-Optimierung
GPU-Programmierung
MPI+OpenMP
OpenMP
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Basic experience in OpenMP programming, e.g. by attending the Parallel Programming Workshop. Participants should have an application developer's general knowledge of computer hardware, operating systems, and be familiar with C/C++ or Fortran.
See also the suggested prereading below (resources and public videos).
Basic: 2 hours Intermediate: 2.5 hours Advanced: 1 hours
Learn more about course curricula and content levels
Michael Klemm, Paul Bauer, Luka Stanisic, Johanna Potyka, Igor Pasichnyk, and Bob Robey (AMD).
08:45 - 09:00 Drop in to Zoom
9:00 - 11:45 Introduction to OpenMP offload with and without unified shared memory (with exercises)
11:45 – 12:45 lunch break
12:45 – 15:30 Real world OpenMP porting: App porting examples and tools (with exercises)
Lectures and exercises will cover following topics:
Register via the button at the top of this page. We encourage you to register to the waiting list if the course is full. Places might become available.
Please be aware that the talks and Q'n'A sessions will be recorded. You declare that you are aware of and consent to the recording by registering.
Registration closes on October 17, 2024. Late registration might still be possible if the course allows.
This course is free of charge.
AMD Lab Notes series on GPUOpen.com
Khatuna Kakhiani phone 0711 685 65796, training(at)hlrs.de Tobias Haas phone 0711 685 87223, training(at)hlrs.de
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.
See the training overview and the Supercomputing Academy pages.
Dezember 02 - 05, 2024
Online by JSC
Dezember 09 - 13, 2024
Januar 13 - 31, 2025
Hybrid Event - Stuttgart, Germany
Januar 21 - 23, 2025
Februar 17 - 21, 2025
Stuttgart, Germany
März 17 - 21, 2025
Dresden, Germany
