Author(s)
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Berghaus, Frank (University of Victoria) ; Brasolin, Franco (Universita e INFN, Bologna) ; Di Girolamo, Alessandro (European Laboratory for Particle Physics, CERN) ; Ebert, Marcus (University of Victoria) ; Leavett-brown, Colin Roy (University of Victoria) ; Lee, Christopher Jon (University of Cape Town) ; Love, Peter (Lancaster University, Department of Physics) ; Pozo Astigarraga, Mikel Eukeni (European Laboratory for Particle Physics, CERN) ; Scannicchio, Diana (University of California, Irvine) ; Schovancova, Jaroslava (CERN Tier-0) ; Seuster, Rolf (University of Victoria) ; Sobie, Randall (University of Victoria) |
Abstract
| The Simulation at Point1 (Sim@P1) project was built in 2013 to take advantage of the ATLAS Trigger and Data Acquisition High Level Trigger (HLT) farm. The HLT farm provides around 100,000 cores, which are critical to ATLAS during data taking. When ATLAS is not recording data, this large compute resource is used to generate and process simulation data for the experiment. At the beginning of the current long shutdown, the HLT farm including the Sim@P1 infrastructure was upgraded. Previous papers emphasised the need for “simple, reliable, and efficient tools” and assessed various options to quickly switch between data acquisition operation and offline processing. In this contribution, we describe the new mechanisms put in place for the opportunistic exploitation of the HLT farm for offline processing and give the results from the first months of operation. |