In order to increase the efficiency of our users' applications on Hawk, HLRS, HPE and AMD offer this workshop to enhance the node-level performance, I/O and scaling of the codes utilized by participants. By doing so, users can raise the volume as well as quality of their scientific findings while the costs (in terms of core hours) remain constant.
By means of this workshop, you can tweak compiler flags, environment settings, etc. in order to make your code run faster. According to our experience gathered in prior workshops, these “low-hanging fruits” can give you a significant speedup but require only little effort.
Furthermore, you will analyze the runtime behavior of your code, locate bottlenecks, design and discuss potential solutions as well as implement them. All categories of bottlenecks (CPU, memory subsystem, communication and I/O) will be addressed, according to the respective requirements. Ideally, the above steps will be repeated multiple times in order to address several bottlenecks.
Every attending group will be supported during the entire workshop by a dedicated member of the HLRS user support group. In addition, HPE and AMD specialists will be available to help with issues specific to e.g. MPI and the processor.
To make it easy for you to attend, we decided to provide this workshop in a hybrid fashion. Besides meeting in person at HLRS, we will hence 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.
Learning outcomes
Target audience: Groups holding a compute time budget to be used on Hawk.
This hybrid event will take place online and at HLRS, University of Stuttgart Nobelstraße 19 70569 Stuttgart, Germany Room 0.439 / Rühle Saal Location and nearby accommodations
07. Nov 2022 09:00
11. Nov 2022 17:00
Hybrid Event - Stuttgart, Germany
Deutsch
Fortgeschritten
Performance-Optimierung & Debugging
Code-Optimierung
MPI
OpenMP
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In order to attend the workshop, you should already have an account on Hawk and your application should already be running on the system. Furthermore, we require that you bring your own code including a test case which is set up according to the following rules:
Learn more about course curricula and content levels.
In general the language of instruction is German, but can be changed to English, if required.
HLRS, HPE and AMD user support staff
All times are local times in the central European time zone (Berlin).
Daily:
Handouts will be available to participants in terms of PDFs.
Besides the content of the training itself, another important aspect of this event is the scientific exchange among the participants. We try to facilitate such communication by
For your safety, we will only allow fully vaccinated or fully recovered or COVID-19 negative tested participants on all days. You must wear a medical face mask or FFP2 mask everywhere on site. If a distance of 1.5 m cannot be guaranteed inside, e.g., if you are working in pairs in exercises, it must be an FFP2 mask. Details can be found on the registration page.
We strongly recommend to choose travel options and hotels with the possibility to cancel (even close to the event) because we might be forced to deliver the course as an online course.
Register via the button at the top of this page.
You can book individual days acording to your project needs, a full workshop in this case is not necessary.
If you are registering as a tutor/teaching assistent for this workshop please use TA extension after your name (i.e., Meterman (TA)) during the registration.
for registration is November 4, 13:00, 2022.
Members of German universities and public research institutes: none Members of universities and public research institutes within EU or PRACE member countries: none Members of other universities and public research institutes: 120 EUR Others: 400 EUR Our course fee includes coffee breaks (on-site courses only)
Björn Dick phone 0711 - 685 87189, dick(at)hlrs.de Khatuna Kakhiani phone 0711 685 65796, kakhiani(at)hlrs.de Tobias Haas phone 0711 685 87223, tobias.haas(at)hlrs.de
HLRS is part of the Gauss Centre for Supercomputing (GCS), which is one of the six PRACE Training Centres (PATCs) that started in Feb. 2012. HLRS is also member of the Baden-Württemberg initiative bwHPC. This course is provided within the framework of the bwHPC training program. This course is not part of the PATC curriculum and is not sponsored by the PATC program.
http://www.hlrs.de/training/2022/HPE2
http://www.hlrs.de/training/ and http://www.hlrs.de/training/overview/
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