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Building Scalable Analysis Infrastructure for ATLAS
/ Gardner Jr, Robert William (University of Chicago (US)) ; Lancon, Eric (Brookhaven National Laboratory (US)) ; Vukotic, Ilija (University of Chicago (US)) ; Bryant, Lincoln (University of Chicago (US)) ; Golnaraghi, Farnaz (University of Chicago (US)) ; Stephen, Judith Lorraine (University of Chicago (US)) ; Taylor, Ryan (University of Victoria (CA)) ; Hu, Fengping (University of Chicago (US))
/ATLAS Collaboration
We explore the adoption of cloud-native tools and principles to forge flexible and scalable infrastructures, aimed at supporting analysis frameworks being developed for the ATLAS experiment in the High Luminosity Large Hadron Collider (HL-LHC) era. The project culminated in the creation of a federated platform, integrating Kubernetes clusters from various providers such as Tier-2 centers, Tier-3 centers, and from the IRIS-HEP Scalable Systems Laboratory, a National Science Foundation project. [...]
ATL-SOFT-SLIDE-2024-560.-
Geneva : CERN, 2024
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
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Investigating Data Access Models for ATLAS: A Case Study with FABRIC Across Borders and ServiceX
/ Vukotic, Ilija (University of Chicago (US)) ; Bryant, Lincoln (University of Chicago (US)) ; Gardner Jr, Robert William (University of Chicago (US)) ; Mc Kee, Shawn (University of Michigan (US)) ; Stephen, Judith Lorraine (University of Chicago (US)) ; Jordan, David Allen (University of Chicago (US))
/ATLAS Collaboration
This study explores enhancements in analysis speed, WAN bandwidth efficiency, and data storage management through an innovative data access strategy. The proposed model introduces specialized ‘delivery’ services for data preprocessing, which include filtering and reformatting tasks executed on dedicated hardware located alongside the data repositories at CERN’s Tier-0, Tier-1, or Tier-2 facilities. [...]
ATL-SOFT-SLIDE-2024-547.-
Geneva : CERN, 2024 - 1 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 27th International Conference on Computing in High Energy & Nuclear Physics, Kraków, Pl, 19 - 25 Oct 2024
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ATLAS HL-LHC Demonstrators with Data Carousel: Data-on-Demand and Tape Smart Writing
/ Borodin, Misha (University of Iowa (US)) ; Klimentov, Alexei (Brookhaven National Laboratory (US)) ; Korchuganova, Tatiana (University of Pittsburgh (US)) ; Lassnig, Mario (CERN) ; Leduc, Julien (CERN) ; Maeno, Tadashi (Brookhaven National Laboratory (US)) ; Musheghyan, Haykuhi (Georg August Universitaet Goettingen (DE)) ; Zhao, Xin (Brookhaven National Laboratory (US)) ; Ressmann, Doris (FZK)
/ATLAS Collaboration
The High Luminosity upgrade to the LHC (HL-LHC) is expected to generate scientific data on the scale of multiple exabytes. To tackle this unprecedented data storage challenge, the ATLAS experiment initiated the Data Carousel project in 2018. [...]
ATL-SOFT-SLIDE-2024-546.-
Geneva : CERN, 2024 - 14 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 27th International Conference on Computing in High Energy & Nuclear Physics, Kraków, Pl, 19 - 25 Oct 2024
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ATLAS usage of the Czech national HPC center: HyperQueue, cvmfsexec, and other news
/ Svatos, Michal (Czech Academy of Sciences (CZ)) ; Chudoba, Jiri (Czech Academy of Sciences (CZ)) ; Vokac, Petr (Czech Technical University in Prague (CZ))
/ATLAS Collaboration
The distributed computing of the ATLAS experiment at the Large Hadron Collider (LHC) utilizes computing resources provided by the Czech national High Performance Computing (HPC) center, IT4Innovations. It is done through ARC-CEs deployed at the Czech Tier2 site, praguelcg2. [...]
ATL-SOFT-SLIDE-2024-545.-
Geneva : CERN, 2024 - 1 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 27th International Conference on Computing in High Energy & Nuclear Physics, Kraków, Pl, 19 - 25 Oct 2024
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A simplified configuration for common algorithms for ATLAS analysis
/ Lambert, Joseph Earl (University of Victoria (CA)) ; Krumnack, Nils Erik (Iowa State University (US)) ; Martinez Outschoorn, Verena Ingrid (University of Massachusetts (US)) ; Russell, Heather (University of Victoria (CA)) ; Leight, William Axel (University of Massachusetts (US)) ; Maroun, Matthew Kenneth (University of Massachusetts (US))
/ATLAS Collaboration
In the ATLAS analysis model, users must interact with specialized algorithms to perform a variety of tasks on their physics objects including calibration, identification, and obtaining systematic uncertainties for simulated events. These algorithms have a wide variety of configurations, and often must be applied in specific orders. [...]
ATL-SOFT-SLIDE-2024-543.-
Geneva : CERN, 2024 - 1 p.
Fulltext: ATL-SOFT-SLIDE-2024-543 - PDF; CHEP_2024_Poster_ATLAS_CP_ALGS_portraitA0 - PDF; External link: Original Communication (restricted to ATLAS)
In : 27th International Conference on Computing in High Energy & Nuclear Physics, Kraków, Pl, 19 - 25 Oct 2024
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High Performance Graph Segmentation for ATLAS GNN Track Reconstruction
/ Murnane, Daniel Thomas (University of Copenhagen (DK)) ; Liu, Ryan (Lawrence Berkeley National Lab. (US)) ; Condren, Levi Harris Jaxon (University of California Irvine (US)) ; Vallier, Alexis (Centre National de la Recherche Scientifique (FR)) ; Whiteson, Daniel (University of California Irvine (US)) ; Lazar, Alina (Youngstown State University (US)) ; Ju, Xiangyang (Lawrence Berkeley National Lab. (US))
/ATLAS Collaboration
Graph neural networks and deep geometric learning have been successfully proven in the task of track reconstruction in recent years. The GNN4ITk project employs these techniques in the context of the ATLAS upgrade ITk detector to produce similar physics performance as traditional techniques, while scaling sub-quadratically. [...]
ATL-SOFT-SLIDE-2024-503.-
Geneva : CERN, 2024 - 39 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 27th International Conference on Computing in High Energy & Nuclear Physics, Kraków, Pl, 19 - 25 Oct 2024
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The CELESTA CubeSat In-Flight Radiation Measurements and Their Comparison With Ground Facilities Predictions
/ Coronetti, Andrea (CERN) ; Zimmaro, Alessandro (CERN) ; Alía, Rubén García (CERN) ; Danzeca, Salvatore (CERN) ; Masi, Alessandro (CERN) ; Slipukhin, Ivan (CERN) ; Amodio, Alessio (CERN) ; Dijks, Jasper (CERN) ; Peronnard, Paul (CERN) ; Secondo, Raffaello (CERN) et al.
The CELESTA CubeSat has employed radiation monitors developed by the Conseil Européen pour la Recherche Nucléaire (CERN) Centre, used for measuring the radiation environment at accelerators, to measure the space radiation field in a medium-Earth orbit (MEO). The technology is based on three static random-access memories (SRAMs) that are sensitive to single-event upsets (SEUs) and single-event latchups (SELs). [...]
2024 - 8 p.
- Published in : IEEE Trans. Nucl. Sci.
Fulltext: PDF;
In : Conference on Radiation and its Effects on Components and Systems (RADECS 2023), Toulouse, France, 25 - 29 Sep 2023, pp.1623-1630
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Quantifying the computational speedup with madgraph4gpu for CMS worflow
/CMS Collaboration
In this note, we present the first analysis of the computational speedup achieved using the GPU
version of MadGraph, known as Madgraph4GPU(MG4GPU), in the CMS workflow. MadGraph is one
of the most widely used event generators in CMS. [...]
CMS-DP-2024-086; CERN-CMS-DP-2024-086.-
Geneva : CERN, 2024 - 23 p.
Fulltext: PDF;
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