| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01009 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/epjconf/202533701009 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701009
Integration of the Goettingen HPC cluster Emmy into the WLCG Tier-2 centre GoeGrid and performance tests
II. Physikalisches Institut, Georg-August-Universitaet Goettingen, Friedrich-Hund-Platz 1, 37077, Goettingen, Germany
* e-mail: u.polisetty@uni-goettingen.de
Published online: 7 October 2025
The German university based WLCG Tier-2 centres successfully contributed a significant fraction of computing power for the Runs 1-3 of the LHC. But for the upcoming Run 4, with its increased need for computing resources for the various HEP computing tasks in terms of storage and computing power, there is a necessity for a transition to a new model. In this context, the German community under the FIDIUM project is making interdisciplinary resources of the National High Performance Computing (NHR) usable within the WLCG and centralising mass storage at the Helmholtz centres. At the Goettingen campus, there is both a WLCG Tier-2 site (GoeGrid) and a large HPC cluster Emmy by NHR and the North German Supercomputing Alliance (HLRN). The integration is done by virtually extending the GoeGrid batch system with containers, turning the HPC nodes into virtual worker nodes with their own partitionable job scheduling in order to run the HEP jobs which serve the ATLAS collaboration in the case of GoeGrid. Submission and management of these containers is automated using COBalD (the Opportunistic Balancing Daemon) and TARDIS (The Transparent Adaptive Resource Dynamic Integration System). Data is provided via the GoeGrid mass storage for which a dedicated network connection has been established. Continuous production of the ATLAS jobs is currently tested in a one-year pilot phase. The setup, experiences, performance tests and an outlook are presented.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.