The Hackathon consists of two parts
HLRS's next supercomputer system called “Hunter” is available in 2025. As for every new system, users have to spend some effort into porting their code and workflow to the new environment. Furthermore, the vast majority of Hunter’s compute power will be delivered by the GPU part of the APU, which requires users to adapt their hot loops in order to offload them to the GPUs. In this hackathon we will hence support our users in doing both.
In order to offload to GPUs, multiple programming models (HIP, OpenMP device offloading, PSTL/do concurrent) are available depending on the programming language used. In preparation phase, we will also discuss pros and cons of those models based on your situation and provide you with information on how to use them. Further you should present and define goals for the coding phase.
In the coding phase, you will work towards your defined goals supported by HLRS user support staff, HPE and AMD specialists to help with issues related to tools provided by those companies. We expect that you will be optimizing your code for the new system, so building with the respective compilers, linking against highly optimized numerical libraries provided by CPE, and using CPE’s performance analysis tools will be an issue.
Due to the large number of groups using HLRS’ systems but limited support staff, the number of participants needs unfortunately to be limited. In order to use the system as efficiently as possible, we have to focus on groups holding medium and large compute time budgets. We hence reserve the right to select attendees!
To allow for easy attendance, we decided to provide this workshop in a hybrid fashion. Besides meeting in person at HLRS, we will also setup breakout rooms in a Zoom session, which enable remote participants to communicate as well as share screens and remote control applications with support staff, hence providing the same options of interaction as meeting in person.
Target audience: Groups holding a compute time budget to be used on Hunter.
This hybrid event will take place online and at HLRS, University of Stuttgart Nobelstraße 19 70569 Stuttgart, Germany Location and nearby accommodations
13. Jan 2025 13:00
31. Jan 2025 15:00
Hybrid Event - Stuttgart, Germany
Englisch
Fortgeschritten
Performance-Optimierung & Debugging
Hardware-Beschleuniger
Code-Optimierung
MPI
MPI+OpenMP
OpenMP
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To participate in the Hackathon, you should already have an account on Hawk/Hunter.
use case selection:
When processing the test case, your code should have a behavior and profile which is as close as possible to that of current and future production runs.
If possible, the test case should be representative for those production runs of your group which consume the largest part of your compute time budget.
number of cores:
In order to be representative, the test case should be in size comparable to the respective current and future production runs.
In order to save valuable resources and to allow for a productive workflow, it should, however, be as small as possible.
So, please, be prepared to reduce the size of your test case during the workshop! This can often be achieved by reducing the simulated domain or resolution and keep the computational load per core constant ("weak down scaling").
wall time:
In order to allow for a productive workflow, the wall time should be a few minutes only.
At the same time, it should cover all important parts of the code, i.e. computation, communication and I/O.
So take into account to reduce the number of simulated time steps and increase I/O frequency to render investigation of I/O possible within such a low number of timesteps.
If you are unsure about how to set up your test case, please contact Björn Dick (see contact data below).
In general the language of instruction is German, but can be changed to English if required.
Learn more about course curricula and content levels.
HLRS, HPE and AMD user support staff
Handouts will be available to participants as PDFs.
This course will be hybrid, i.e. it will take place at HLRS on-site but it will also be possible to attend online. Participants, online as well as on-site, have to be aware and agree that they might appear in the live video stream taken by a camera in the back of the lecture room or by a webcam on laptops. The live stream will not be saved. We strongly recommend to attend this course on-site since on-site attendance is much more effective and efficient in our experience. Therefore we might give priority to on-site over online participants during registration.
The first phase will be a virtual event. The second phase will be offered as a hybrid event. Please select for the hybrid event on which days you plan to be on-site at HLRS.
We expect you to participate in both phases, in the first at least to discuss your project and goals.
Register via the button at the top of this page (will be available soon).
Registration closes on Friday, January 10, 2025.
Further fee categories can be found in the registration page.
Our course fees include coffee breaks (in classroom courses only).
Andreas Ruopp phone 0711 685 87259, andreas.ruopp(at)hlrs.de Khatuna Kakhiani phone 0711 685 65796, khatuna.kakhiani(at)hlrs.de Tobias Haas phone 0711 685 87223, training(at)hlrs.de Björn Dick phone 0711 - 685 87189, bjoern.dick(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.
November 04 - Dezember 06, 2024
Online (flexible)
Dezember 02 - 05, 2024
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Dezember 09 - 13, 2024
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Februar 17 - 21, 2025
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März 17 - 21, 2025
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