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 as well as 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.
Moreover, this workshop allows you to get practical experience and support w.r.t. performance analysis tools available on Hawk. Please have in mind those tools are essential to gather the performance data which has to be included in the compulsory annual report on usage of compute time budgets!
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.
We decided to provide this workshop in a hybrid fashion. For those attending online, we will setup breakout rooms in a Zoom session which enable 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
22. Mai 2023 09:00
26. Mai 2023 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.
HLRS, HPE and AMD user support staff
Local times: Central European Time Zone (Berlin). Communication format: Face-to-face, via Slack, Zoom and Email.
We start ON_SITE/ONLINE workshop on Monday, Mai 22, 2023 with - 8:30 Local registration (verification, seating)/drop in to Zoom - 9:00 Start of the workshop Workshop ends on Friday, May 26, latest at 17:00.
Daily Mo-Fr agenda:
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
By registering you agree to adhere to the COVID-19 regulations of the University of Stuttgart that are in effect at the time of the course. For more information, see the COVID-19 informations and the Hygiene Concept of the University of Stuttgart.
We 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 that shall appear soon.
You can book individual days acording to your project needs, attending 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., Musterman (TA)) during the registration.
for registration is Mai 18, 23:59, 2023.
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
Björn Dick phone 0711 - 685 87189, dick(at)hlrs.de Khatuna Kakhiani phone 0711 685 65796, kakhiani(at)hlrs.de
HLRS is part of the Gauss Centre for Supercomputing (GCS), which is one of the six PRACE Advanced Training Centres (PATCs) that started in Feb. 2012.
This course is not part of the PATC curriculum and is not sponsored by the PATC program.
HLRS is also member of the Baden-Württemberg initiative bwHPC.
http://www.hlrs.de/training/2023/HPE1
See the training overview and the Supercomputing Academy pages.
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