| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01217 | |
| Number of page(s) | 12 | |
| DOI | https://doi.org/10.1051/epjconf/202533701217 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701217
The 200 Gbps Challenge: Imagining HL-LHC analysis facilities
1 University of Wisconsin–Madison, Madison, WI, United States
2 University of Nebraska–Lincoln, Lincoln, NE, United States
3 Morgridge Institute for Research, Madison, WI, United States
4 University of Chicago, Chicago, IL, United States
5 University of Texas at Austin, Austin, TX, United States
6 Princeton University, Princeton, NJ, United States
7 Fermilab, Batavia, IL, United States
8 University of Notre Dame, Notre Dame, IN, United States
9 University of Washington, Seattle, WA, United States
* e-mail: alexander.held@cern.ch
Published online: 7 October 2025
The IRIS-HEP software institute, as a contributor to the broader HEP Python ecosystem, is developing scalable analysis infrastructure and software tools to address the upcoming HL-LHC computing challenges with new approaches and paradigms, driven by our vision of what HL-LHC analysis will require. The institute uses a “Grand Challenge” format, constructing a series of increasingly large, complex, and realistic exercises to show the vision of HL-LHC analysis. Recently, the focus has been demonstrating the IRIS-HEP analysis infrastructure at scale and evaluating technology readiness for production.
As a part of the Analysis Grand Challenge activities, the institute executed a “200 Gbps Challenge”, aiming to show sustained data rates into the event processing of multiple analysis pipelines. The challenge integrated teams internal and external to the institute, including operations and facilities, analysis software tools, innovative data delivery and management services, and scalable analysis infrastructure. The challenge showcases the prototypes — including software, services, and facilities — built to process around 200 TB of data in both the CMS NanoAOD and ATLAS PHYSLITE data formats with test pipelines.
The teams were able to sustain the 200 Gbps target across multiple pipelines. The pipelines focusing on event rate were able to process at over 30 MHz. These target rates are demanding; the activity revealed considerations for future testing at this scale and changes necessary for physicists to work at this scale in the future. The 200 Gbps Challenge has established a baseline on today’s facilities, setting the stage for the next exercise at twice the scale.
© 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.
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