002857790 001__ 2857790
002857790 005__ 20230504201950.0
002857790 0248_ $$aoai:cds.cern.ch:2857790$$pcerncds:FULLTEXT
002857790 037__ $$aATL-SOFT-SLIDE-2023-150
002857790 041__ $$aeng
002857790 088__ $$9ATL-COM-SOFT-2023-021
002857790 100__ $$0AUTHOR|(CDS)2070188$$0AUTHOR|(SzGeCERN)607266$$aGlushkov, [email protected]$$uUniversity of Texas at Arlington (US)
002857790 110__ $$aThe ATLAS collaboration
002857790 245__ $$aOptimization of opportunistic utilization of the ATLAS High-Level Trigger farm for LHC Run 3
002857790 260__ $$c2023
002857790 269__ $$aGeneva$$bCERN$$c04 May 2023
002857790 300__ $$a16 p
002857790 520__ $$aThe ATLAS Trigger and Data Acquisition (TDAQ) High Level Trigger (HLT) computing farm contains 120,000 cores. These resources are critical for online selection and collection of collision data in the ATLAS experiment during LHC operation. Since 2013, during longer period of LHC inactivity these resources are being used for offline event simulation via the "Simulation at Point One" project (Sim@P1). With the recent start of LHC Run 3 and the flat computing budget expected in the near future, finding ways to maximize the resource utilization efficiency is of paramount importance. Recent improvements in the ATLAS software stack can potentially allow the utilization of the Sim@P1 even during LHC operation for the duration of the LHC inter-fill gaps. While previous papers on the Sim@P1 project were emphasizing the technical implementation details, the current contribution is presenting results of a variety of tests that led to the optimal configuration of the job submission infrastructure which would allow the use of Sim@P1 during LHC Run 3.
002857790 594__ $$aSLIDE
002857790 595__ $$aCERN CDS-Invenio WebSubmit
002857790 65017 $$2SzGeCERN$$aParticle Physics - Experiment
002857790 65027 $$2SzGeCERN$$aSoftware
002857790 6531_ $$9CERN$$aATLAS; ADC; TDAQ; Sim@P1
002857790 690C_ $$aCERN
002857790 690C_ $$aINTNOTE
002857790 690C_ $$aPRIVATLAS
002857790 690C_ $$aPUBLATLASSLIDE
002857790 693__ $$aCERN LHC$$eATLAS
002857790 700__ $$0AUTHOR|(CDS)2085109$$0AUTHOR|(SzGeCERN)727357$$aLee, [email protected]$$uStony Brook University (US)
002857790 700__ $$0AUTHOR|(CDS)2067565$$0AUTHOR|(SzGeCERN)614260$$aDi Girolamo, [email protected]$$uCERN
002857790 700__ $$0AUTHOR|(INSPIRE)INSPIRE-00225350$$0AUTHOR|(SzGeCERN)440179$$0AUTHOR|(CDS)2067364$$aWalker, [email protected]$$uLudwig Maximilians Universitat (DE)
002857790 700__ $$0AUTHOR|(CDS)2097418$$0AUTHOR|(SzGeCERN)772579$$aGottardo, Carlo [email protected]$$uCERN
002857790 710__ $$5PH-EP
002857790 710__ $$gATLAS Collaboration
002857790 8564_ $$uhttps://cds.cern.ch/record/2855712$$yOriginal Communication (restricted to ATLAS)
002857790 859__ [email protected]
002857790 8564_ $$82451564$$s1929906$$uhttps://cds.cern.ch/record/2857790/files/ATL-SOFT-SLIDE-2023-150.pdf
002857790 916__ $$sn$$w202370
002857790 960__ $$a91
002857790 963__ $$aPUBLIC
002857790 970__ $$a000778994CER
002857790 980__ $$aPUBLATLASSLIDE
002857790 980__ $$aSlides