News Release

GCS centres to help COVID-19 researchers access HPC resources

German supercomputing centres will expedite HPC access to fight the coronavirus.

Business Announcement

Gauss Centre for Supercomputing

GCS Supercomputers

image: Researchers fighting the coronavirus can reach out to access GCS flagship supercomputers at HLRS, JSC, and LRZ. view more 

Credit: Gauss Centre for Supercomputing

Effective immediately, the Gauss Centre for Supercomputing (GCS), the alliance of Germany's three national supercomputing centres, will be helping researchers working on COVID-19 research gain expedited access to computing resources. This includes access to the petascale high-performance computing infrastructures at the High-Performance Computing Center Stuttgart (HLRS), Jülich Supercomputing Centre (JSC), and Leibniz Supercomputing Centre (LRZ).

Recognizing the urgency of the need for new strategies to contain the global pandemic, the three GCS centres have committed to fast-tracking applications for COVID-19 related computing time, minimizing all hurdles during the application process. This applies to research at the molecular level to understand the virus and develop vaccines and therapeutics, epidemiological research to understand and forecast disease spread, and other related approaches aimed at understanding and halting the pandemic.

"Computational approaches can provide unique and critical insights into the biology and transmission of disease, " said Dr. Dieter Kranzlmüller, leader of the Leibniz Supercomputing Centre and GCS Chair. "GCS is committed to doing everything it can to support the fight against the coronavirus, providing computing time as well as technical support to investigators working to contain its effects."

If you are a scientist interested in using supercomputing resources at one of the GCS centres, please contact:

At HLRS: Michael Resch: ( and Bastian Koller: (

At JSC: Thomas Lippert:

At LRZ: Dieter Kranzlmüller:


Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.