EPJ Web of Conferences (Jan 2019)

The CMS Event-Builder System for LHC Run 3 (2021-23)

  • André Jean-Marc,
  • Behrens Ulf,
  • Branson James,
  • Brummer Philipp,
  • Cittolin Sergio,
  • Da Silva Gomes Diego,
  • Darlea Georgiana-Lavinia,
  • Deldicque Christian,
  • Demiragli Zeynep,
  • Dobson Marc,
  • Doualot Nicolas,
  • Erhan Samim,
  • Fulcher Jonathan,
  • Gigi Dominique,
  • Gładki Maciej,
  • Glege Frank,
  • Gomez-Ceballos Guillelmo,
  • Hegeman Jeroen,
  • Holzner André,
  • Lettrich Michael,
  • Mečionis Audrius,
  • Meijers Frans,
  • Meschi Emilio,
  • Mommsen Remigius K,
  • Morović Srećko,
  • O’Dell Vivian,
  • Orsini Luciano,
  • Papakrivopoulos Ioannis,
  • Paus Christoph,
  • Petrucci Andrea,
  • Pieri Marco,
  • Rabad Dinyar,
  • Rácz Attila,
  • Rapševičius Valdas,
  • Reis Thomas,
  • Sakulin Hannes,
  • Schwick Christoph,
  • Šimelevičius Dainius,
  • Stankevičius Mantas,
  • Vazquez Velez Cristina,
  • Wernet Christian,
  • Zejdl Petr

DOI
https://doi.org/10.1051/epjconf/201921401006
Journal volume & issue
Vol. 214
p. 01006

Abstract

Read online

The data acquisition system (DAQ) of the CMS experiment at the CERN Large Hadron Collider (LHC) assembles events of 2MB at a rate of 100 kHz. The event builder collects event fragments from about 750 sources and assembles them into complete events which are then handed to the High-Level Trigger (HLT) processes running on O(1000) computers. The aging eventbuilding hardware will be replaced during the long shutdown 2 of the LHC taking place in 2019/20. The future data networks will be based on 100 Gb/s interconnects using Ethernet and Infiniband technologies. More powerful computers may allow to combine the currently separate functionality of the readout and builder units into a single I/O processor handling simultaneously 100 Gb/s of input and output traffic. It might be beneficial to preprocess data originating from specific detector parts or regions before handling it to generic HLT processors. Therefore, we will investigate how specialized coprocessors, e.g. GPUs, could be integrated into the event builder. We will present the envisioned changes to the event-builder compared to today’s system. Initial measurements of the performance of the data networks under the event-building traffic pattern will be shown. Implications of a folded network architecture for the event building and corresponding changes to the software implementation will be discussed.