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Optimization of opportunistic utilization of the ATLAS High-Level Trigger farm for LHC Run3

May 11, 2023, 12:30 PM
Marriott Ballroom IV (Norfolk Waterside Marriott)

Marriott Ballroom IV

Norfolk Waterside Marriott

235 East Main Street Norfolk, VA 23510
Oral Track 7 - Facilities and Virtualization Track 7 - Facilities and Virtualization


Glushkov, Ivan (The University of Texas at Arlington)


The ATLAS Trigger and Data Acquisition (TDAQ) High Level Trigger (HLT) computing farm contains 120,000 cores. These resources are critical for online selection and collection of collision data in the ATLAS experiment during LHC operation. Since 2013, during longer period of LHC inactivity these resources are being used for offline event simulation via the "Simulation at Point One" project (Sim@P1). With the recent start of LHC Run 3 and the flat computing budget expected in the near future, finding ways to maximize the resource utilization efficiency is of paramount importance. Recent improvements in the ATLAS software stack can potentially allow the utilization of the Sim@P1 even during LHC operation for the duration of the LHC inter-fill gaps. While previous papers on the Sim@P1 project were emphasizing the technical implementation details, the current contribution is presenting results of a variety of tests that led to the optimal configuration of the job submission infrastructure which would allow the use of Sim@P1 during LHC Run 3.

Consider for long presentation No

Primary authors

Glushkov, Ivan (The University of Texas at Arlington) Lee, Chris (Stony Brook University) di Girolamo, Alessandro (CERN) Walker, Rodney (Ludwig-Maximilians-Universitaet Muenchen) Gottardo, Carlo Alberto (CERN)

Presentation materials