Evaluating a File-Based Event Builder to enhance the Data Acquisition in the CMS Experiment
The event builder in the Data Acquisition System (DAQ) of the CMS experiment at the CERN Large Hadron Collider (LHC) is responsible for assembling events at a rate of 100 kHz during the current LHC run 3, and up to750 kHz for the upcoming High Luminosity LHC, scheduled to start in 2029. Both the current and future DAQ architectures leverage on state-of-the-art network technologies, employing Ethernet switches capable of supporting RDMA over Converged Ethernet (RoCE) protocols. The DAQ Front-end hardware is custom-designed, utilizing a reduced TCP/IP protocol implemented in FPGA for reliable data transport between custom electronics and commercial computing hardware. An alternative architecture for the event builder, known as the Super-Fragment Builder (SFB), is under evaluation. The SFB comprises two separate systems: the Super-Fragment Builder and the File-based Filter Farm (F3). A super-fragment consists of the event data read by one or more Front-End Drivers and corresponding to the same L1 accept, and the SFB constructs multiple super-fragments corresponding to the number of Read-Unit (RU) machines in the DAQ system, storing them in local RAM disks. Subsequently, the F3 accesses super-fragments from all RU machines via the Network File System (NFS) over Ethernet and builds complete events within the High Level Trigger process. This paper describes the first prototype of the SFB and presents preliminary performance results obtained within the DAQ system for LHC Run 3.
Authors
- Patrycja Górniak
- Antonı́n Dvořák (ORCID: https://orcid.org/0000-0002-0611-491X)
- Jeroen Hegeman
- Philipp Brummer (ORCID: https://orcid.org/0000-0002-3857-3504)
- Wassef Karimeh
- E. Cano
- Christian Deldicque
- Guillermo Izquierdo Moreno
- Christoph Paus
- T. Jayakumar
- G. Gomez Ceballos (ORCID: https://orcid.org/0000-0003-1683-9460)
- Cristina Vazquez Velez
- P. Zejdl (ORCID: https://orcid.org/0000-0001-9554-7815)
- Theodoros Rizopoulos
- K. Long (ORCID: https://orcid.org/0000-0003-0664-1653)
- R. D. Krawczyk (ORCID: https://orcid.org/0000-0001-8664-4787)
- Wei Li
- Hannes Sakulin (ORCID: https://orcid.org/0000-0003-2181-7258)
- J. G. Branson (ORCID: https://orcid.org/0009-0009-5683-4614)
- Thomas Owen James
- Sergio Cittolin
- Srećko Morović (ORCID: https://orcid.org/0000-0003-0956-4665)
- Antra Gaile (ORCID: https://orcid.org/0000-0003-1350-3523)
- Marc Dobson
- M. Pieri (ORCID: https://orcid.org/0000-0003-3303-6301)
- Emilio Meschi
- Dainius Šimelevičius
- Frank Glege
- Frans Meijers
- Dinyar Sebastian Rabady
- Christoph Schwick
- D. Gigi (ORCID: https://orcid.org/0000-0003-0422-6739)
- L. Orsini
- A. Rácz
- Andrea Petrucci
- A. Bocci
- P. Tzanis (ORCID: https://orcid.org/0000-0001-6828-1599)
- U. Behrens
- Georgiana-Lavinia Darlea
- Jaafar Alawieh
- Miguel Bacharov Durasov
- Babatunde John Odetayo
- Jan Andrzej Bugajski
- Albert Corominas I Mariscot
- Christos Emmanouil
- Kareen Arutjunjan
Institutions
- Vilnius University (LT)
- University of California San Diego (US)
- IIT@MIT (US)
- University of Benin (NG)
- European Organization for Nuclear Research (CH)
- Rice University (US)
Publication Details
- Journal
- EPJ Web of Conferences
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1051/epjconf/202533701136
- Citations
- 1
- Primary Topic
- Particle Detector Development and Performance
- Type
- article
- Field-Weighted Citation Impact
- 1.87