Note: an additional course "Cray XC40 Optimization and Scaling Workshop" takes place on the following three days.
In August 2015, the Cray XC40 supercomputer Hornet at HLRS was upgraded to a new system named “Hazel Hen" featuring 7724 compute nodes, each equipped with two 12 core Intel Haswell processors running at 2.5 GHz. Each node is equipped with 128 GB DDR4 memory and connected to the other nodes through the Cray Aries network. The peak performance amounts to 7.4 PFlops.
HLRS and Cray offer this workshop in order to help users running their codes on this new large system.
The course gives an overview on the XC40 system. Specialists from Cray will talk about the hardware, best practices, and the new software enhancements.
Target audience: New users of Hazel Hen which are already familiar with computer simulations on clusters. Nevertheless, if you are interested in updates or CRAY XC40 systems in general, you are also welcome to attend this workshop.
Prerequisites: basic Linux knowledge (Shell, Editors, etc.)
9:00 - 9:30: Local registration,
9:30 -17:30: Cray XC40/HAZEL HEN at HLRS
A detailed program can be found here (preliminary).
German (in English, if required)
Stefan Andersson, Michael Neff, and Mandes Schönherr (Cray)
Each participant will get a paper copy of all slides.
for registration is Aug. 20, 2017.
Students without Diploma/Master: None
Members of German universities and public research institutes: none.
Members of universities and public research institutes within Europe or PRACE: 30 EUR.
Members of other universities and public research institutes: 30 EUR.
Others: 100 EUR.
(includes coffee breaks)
see our How to find us page.
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.
HLRS is also member of the Baden-Württemberg initiative bwHPC-C5.
This course is provided within the framework of the bwHPC-C5 user Support. This course is not part of the PATC curriculum and is not sponsored by the PATC program.