This 4-day course introduces the Julia programming language as a modern approach to high-performance numerical computing. Starting from the foundations and characteristic language features (e.g. multiple dispatch, type inference) the course will discuss and demonstrate how Julia manages to deliver high performance while also being high-level and dynamic. It will teach participants the necessary language concepts to achieve high performance in Julia and avoid common pitfalls. The course will cover "serial" and parallel computing (multithreading, distributed computing, MPI) and will provide insights into how to readily offload computations to NVIDIA GPUs.
Hands-on sessions on each day will allow the participants to interactively explore the language and immediately test and apply the discussed concepts.
This course is especially appropriate for you if
This course is organized by HLRS in cooperation with the Paderborn Center for Parallel Computing (PC2) and the NHR alliance.
HLRS, University of Stuttgart Nobelstraße 19 70569 Stuttgart, Germany Room 0.439 / Rühle Saal Location and nearby accommodations
20. Sep 2022
23. Sep 2022
Programmiersprachen für wissenschaftliches Rechnen
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(If you want to follow along on your personal laptop, make sure to have Julia 1.8 and Jupyter installed and working.)
Learn more about course curricula and content levels.
Dr. Carsten Bauer (Paderborn Center for Parallel Computing) Dr. Michael Schlottke-Lakemper (HLRS)
After this course, participants will:
Local registration starts on first course day at 8:30.
1st course day (8:30 - 16:30)
2nd course day (9:00 - 16:30)
3rd course day (9:00 - 16:30)
4th course day (9:00 - 13:00)
Slides and Jupyter notebooks will be available for all participants. The material can be found on https://github.com/carstenbauer/JuliaHLRS22
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. We encourage you to register to the waiting list if the course is full. Places might become available.
Students without Diploma/Master: none. 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: 300 EUR. Others: 780 EUR.
Our course fee includes coffee breaks (in classroom courses only).
Lucienne Dettki, phone 0711 685 63894, dettki(at)hlrs.de Michael Schlottke-Lakemper, phone 0711 685 87162, m.schlottke-lakemper(at)hlrs.de training(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 a PATC course, see also the PRACE Training Portal and Events. For participants from public research institutions in PRACE countries, the course fee is sponsored through the PRACE PATC program.
HLRS is also member of the Baden-Württemberg initiative bwHPC.
This course is also provided within the framework of the bwHPC training program.
https://www.hlrs.de/training/2022/JULIA and https://events.prace-ri.eu/e/HLRS-2022-JULIA
See the training overview and the Supercomputing Academy pages.
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Nobelstraße 19, 70569 Stuttgart, Deutschland
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+49 711 685-87209
Als Mitglied des Gauss Centre for Supercomputing ist das HLRS eines der drei Bundeshöchstleistungsrechenzentren.
Das HLRS ist eine zentrale Einrichtung der Universität Stuttgart.