CERN Accelerating science

ATLAS Note
Report number ATL-SOFT-PROC-2020-021
Title ATLAS Sim@P1 upgrades during long shutdown two
Author(s)

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)

Corporate Author(s) The ATLAS collaboration
Publication 2020
Imprint 11 Mar 2020
Number of pages 6
In: EPJ Web Conf. 245 (2020) 07044
In: 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.07044
DOI 10.1051/epjconf/202024507044
Subject category Particle Physics - Experiment
Accelerator/Facility, Experiment CERN LHC ; ATLAS
Free keywords ATLAS ; TDAQ ; trigger ; opportunistic ; cloud ; virtualization ; burst ; HTCondor ; CernVM ; CVMFS ; squid ; frontier
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.
Copyright/License © 2020-2024 The Authors (License: CC-BY-4.0)

Corresponding record in: Inspire


 Záznam vytvorený 2020-03-11, zmenený 2021-03-08


Fulltext from publisher:
Nahraj plný textPDF
(additional files)
External link:
Nahraj plný textOriginal Communication (restricted to ATLAS)