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GCS Supports Multi Institution Bavarian Student Team at SC17 Student Cluster Competition


Berlin, Germany, October 26, 2017— The Gauss Centre for Supercomputing (GCS) is pleased to announce that it is continuing to serve as a co-sponsor of undergraduate students participating in the Student Cluster Competition (SCC) at the Supercomputing Conference 2017 (SC17) in Denver, Colorado/USA (Nov. 12-17, 2017). Team TUMany segFAUlts (pronounced too many segfaults), is a joint six-person team representing the Technische Universität München (TUM) and the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). The team--evenly divided between males and females--is the only German participant among the 16 teams taking part in the competition.

As Germany's national supercomputing institution, GCS is committed to encourage a wide variety of activities that help promote up and coming experts in the field of high-performance computing (HPC). "We are convinced that these kind of contests can be an enormous motivational spur for young HPC talent," explains Dr. Claus Axel Müller, Managing Director of GCS. "We don't want financial constraints related to international travel to be an insurmountable obstacle for the students, so we are happy to step in and help out. Independent of the eventual outcome of this contest, participating in an international competition - a friendly yet tough one - will be an invaluable experience for the undergraduate students. We wish them lots of success, and tons of fun."

According to the SCC rules, the six-student-teams have to compete in a non-stop, 48-hour challenge held on the SC17 showground that will, by definition, contain some unexpected elements of surprise, such as a mystery application (to be revealed during the competition) and an unannounced power outage. Apart from application performance and accuracy, the teams will be judged on the energy efficiency of their pre-assembled compute cluster and its power consumption. Equally important for the overall evaluation of the teams will be whether the students manage to impress conference attendees and especially interview judges with their HPC knowledge of their systems and the applications.

Team TUMany segFAUlts at SC17Team TUMany segFAUlts represents Germany in the SC17 Student Cluster Competition. Posing in front of HPC system SuperMUC of the Leibniz Supercomputing Centre, back from left: TUM coach Sharru Møller with Ivonne Rausch, Ingrid Muench and Lisa Marie Dreier (all FAU). Front, from left.: FAU coach Alexander Ditter with Benedikt Schroeder (FAU) und David Schneller (TUM). Not in the picture: Svilen Stefanov (TUM).
Copyright: GCS

About GCS: The Gauss Centre for Supercomputing (GCS) combines the three German national supercomputing centres HLRS (High Performance Computing Center Stuttgart), JSC (Jülich Supercomputing Centre), and LRZ (Leibniz Supercomputing Centre, Garching near Munich) into Germany’s integrated Tier-0 supercomputing institution. Together, the three centres provide the largest, most powerful supercomputing infrastructure in all of Europe to serve a wide range of academic and industrial research activities in various disciplines. They also provide top-tier training and education for the national as well as the European High Performance Computing (HPC) community. GCS is the German member of PRACE (Partnership for Advanced Computing in Europe), an international non-profit association consisting of 24 member countries, whose representative organizations create a pan-European supercomputing infrastructure, providing access to computing and data management resources and services for large-scale scientific and engineering applications at the highest performance level.
GCS is jointly funded by the German Federal Ministry of Education and Research and the federal states of Baden-Württemberg, Bavaria, and North Rhine-Westphalia. It is headquartered in Berlin, Germany.


Regina Weigand, GCS Public Relations
+49 711 685-87261

This press release as a  GCS Supports Multi-Institution Bavarian Student Team at SC17 Student Cluster Competition (PDF, 698 kB)