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Prototype of a File-Based High-Level Trigger in CMS

Author(s)
Bauer, G; Bawej, T; Behrens, U; Branson, J; Chaze, O; Cittolin, S; Coarasa, J A; Darlea, G-L; Deldicque, C; Dobson, M; Dupont, A; Erhan, S; Gigi, D; Glege, F; Gomez-Ceballos, G; Gomez-Reino, R; Hartl, C; Hegeman, J; Holzner, A; Masetti, L; Meijers, F; Meschi, E; Mommsen, R K; Morovic, S; Nunez-Barranco-Fernandez, C; O'Dell, V; Orsini, L; Ozga, W; Paus, C; Petrucci, A; Pieri, M; Racz, A; Raginel, O; Sakulin, H; Sani, M; Schwick, C; Spataru, AC; Stieger, B; Sumorok, K; Veverka, J; Wakefiled, C C; Zejdl, P; ... Show more Show less
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Abstract
The DAQ system of the CMS experiment at the LHC is upgraded during the accelerator shutdown in 2013/14. To reduce the interdependency of the DAQ system and the high-level trigger (HLT), we investigate the feasibility of using a file-system-based HLT. Events of ∼1 MB size are built at the level-1 trigger rate of 100 kHz. The events are assembled by ∼50 builder units (BUs). Each BU writes the raw events at ∼2GB/s to a local file system shared with Q(10) filter-unit machines (FUs) running the HLT code. The FUs read the raw data from the file system, select Q(1%) of the events, and write the selected events together with monitoring meta-data back to a disk. This data is then aggregated over several steps and made available for offline reconstruction and online monitoring. We present the challenges, technical choices, and performance figures from the prototyping phase. In addition, the steps to the final system implementation will be discussed. © Published under licence by IOP Publishing Ltd.
Date issued
2014-06-11
URI
https://hdl.handle.net/1721.1/137453
Department
Massachusetts Institute of Technology. Laboratory for Nuclear Science; Massachusetts Institute of Technology. Department of Physics; MIT Energy Initiative
Publisher
IOP Publishing
Citation
Bauer, G, Bawej, T, Behrens, U, Branson, J, Chaze, O et al. 2014. "Prototype of a File-Based High-Level Trigger in CMS." 513 (1).
Version: Final published version
ISSN
1742-6588
1742-6596

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