CERN Accelerating science

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1.
Total cost of ownership and evaluation of Google cloud resources for the ATLAS experiment at the LHC / ATLAS Collaboration
The ATLAS Google Project was established as part of an ongoing evaluation of the use of commercial clouds by the ATLAS Collaboration, in anticipation of the potential future adoption of such resources by WLCG grid sites to fulfil or complement their computing pledges. [...]
arXiv:2405.13695 ; CERN-EP-2024-124.
- 2024 - 48.
Fulltext - Previous draft version - Fulltext
2.
Accelerating Machine Learning Inference with GPUs in ProtoDUNE Data Processing / Cai, Tejin (York U., Canada) ; Herner, Kenneth (Fermilab) ; Yang, Tingjun (Fermilab) ; Wang, Michael (Fermilab) ; Flechas, Maria Acosta (Fermilab) ; Harris, Philip (MIT) ; Holzman, Burt (Fermilab) ; Pedro, Kevin (Fermilab) ; Tran, Nhan (Fermilab)
We study the performance of a cloud-based GPU-accelerated inference server to speed up event reconstruction in neutrino data batch jobs. Using detector data from the ProtoDUNE experiment and employing the standard DUNE grid job submission tools, we attempt to reprocess the data by running several thousand concurrent grid jobs, a rate we expect to be typical of current and future neutrino physics experiments. [...]
arXiv:2301.04633; FERMILAB-PUB-22-944-ND-PPD-SCD.- 2023 - 13 p. - Published in : Comput. Softw. Big Sci. 7 (2023) 11 Fulltext: 2301.04633 - PDF; Publication - PDF; FERMILAB-PUB-22-944-ND-PPD-SCD - PDF; External link: Fermilab Accepted Manuscript
3.
Accelerating science: the usage of commercial clouds in ATLAS Distributed Computing / ATLAS Collaboration
The ATLAS experiment at CERN is one of the largest scientific ma- chines built to date and will have ever growing computing needs as the Large Hadron Collider collects an increasingly larger volume of data over the next 20 years. [...]
ATL-SOFT-PROC-2023-020.
- 2024 - 11.
Original Communication (restricted to ATLAS) - Full text
4.
A grid site reimagined: building a fully cloud-native ATLAS Tier 2 on Kubernetes / Taylor, Ryan (University of Victoria (CA)) ; Albert, Jeffrey Ryan (University of Victoria (CA)) ; Barreiro Megino, Fernando Harald (University of Texas at Arlington (US))
The University of Victoria (UVic) operates an Infrastructure-as-a- Service scientific cloud for Canadian researchers, and a WLCG Tier 2 grid site for the ATLAS experiment at CERN. [...]
ATL-SOFT-PROC-2023-014.
- 2024 - 8.
Original Communication (restricted to ATLAS) - Full text
5.
The ATLAS experiment software on ARM / Elmsheuser, Johannes (Brookhaven National Laboratory (US)) ; Barreiro Megino, Fernando Harald (University of Texas at Arlington (US)) ; De Salvo, Alessandro (Sapienza Universita e INFN, Roma I (IT)) ; De Silva, Asoka (TRIUMF (CA)) ; Hauser, Reiner (Michigan State University (US)) ; Konstantinov, Dmitri (Institute for High Energy Physics of NRC Kurchatov Institute (RU)) ; Krasznahorkay, Attila (CERN) ; Lassnig, Mario (CERN) ; Sailer, Andre (CERN) ; Snyder, Scott (Brookhaven National Laboratory (US))
With an increased dataset obtained during the Run-3 of the LHC at CERN and the even larger expected increase of the dataset by more than one order of magnitude for the HL-LHC, the ATLAS experiment is reaching the limits of the current data processing model in terms of traditional CPU resources based on x86\_64 architectures and an extensive program for software upgrades towards the HL-LHC has been set up. [...]
ATL-SOFT-PROC-2023-008.
- 2024 - 6.
Original Communication (restricted to ATLAS) - Full text
6.
The ATLAS experiment software on ARM / Elmsheuser, Johannes (Brookhaven National Laboratory (US)) ; Barreiro Megino, Fernando Harald (University of Texas at Arlington (US)) ; De Salvo, Alessandro (Sapienza Universita e INFN, Roma I (IT)) ; De Silva, Asoka (TRIUMF (CA)) ; Konstantinov, Dmitri (Institute for High Energy Physics of NRC Kurchatov Institute (RU)) ; Lassnig, Mario (CERN) ; Hauser, Reiner (Michigan State University (US)) ; Krasznahorkay, Attila (CERN) ; Sailer, Andre (CERN) ; Snyder, Scott (Brookhaven National Laboratory (US)) /ATLAS Collaboration
With an increased dataset obtained during the Run-3 of the LHC at CERN and the even larger expected increase of the dataset by more than one order of magnitude for the HL-LHC, the ATLAS experiment is reaching the limits of the current data processing model in terms of traditional CPU resources based on x86_64 architectures and an extensive program for software upgrades towards the HL-LHC has been set up. The ARM architecture is becoming a competitive and energy efficient alternative. [...]
ATL-SOFT-SLIDE-2023-154.- Geneva : CERN, 2023 - 18 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023
7.
Accelerating science: the usage of commercial clouds in ATLAS distributed computing / ATLAS Collaboration
The ATLAS experiment at CERN is one of the largest scientific machines built to date and will have ever growing computing needs as the Large Hadron Collider collects an increasingly larger volume of data over the next 20 years. ATLAS is conducting R&D; projects on Amazon and Google clouds as complementary resources for distributed computing, focusing on some of the key features of commercial clouds: lightweight operation, elasticity and availability of multiple chip architectures. [...]
ATL-SOFT-SLIDE-2023-151.- Geneva : CERN, 2023 - 13 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
8.
Software-Defined Storage Optimization of Distributed ALICE Resources / Lončar, Petra (Split Tech. U.) ; Gotovac, Sven (Split Tech. U.)
In today’s big data era, data and information are the main capital. High Energy Physics (HEP) as a data-intensive field of research drives significant demands for managing large datasets. [...]
2020 - 6 p. - Published in : 10.23919/SoftCOM50211.2020.9238270
In : 28th International Conference on Software, Telecommunications and Computer Networks 2020 (SoftCOM 2020)
9.
Seamless integration of commercial Clouds with ATLAS Distributed Computing / Elmsheuser, Johannes (Brookhaven National Laboratory (BNL)) ; Barreiro Megino, Fernando Harald (The University of Texas at Arlington) ; Bawa, Harinder Singh (California State University) ; De, Kaushik (The University of Texas at Arlington) ; Klimentov, Alexei (Brookhaven National Laboratory (BNL)) ; Lassnig, Mario (European Laboratory for Particle Physics, CERN) ; Serfon, Cedric (Brookhaven National Laboratory (BNL)) ; Wegner, Tobias Thomas (Bergische Universitaet Wuppertal)
The CERN ATLAS Experiment successfully uses a worldwide distributed computing Grid infrastructure to support its physics programme at the Large Hadron Collider (LHC). [...]
ATL-SOFT-PROC-2021-003.
- 2021. - 10 p.
Original Communication (restricted to ATLAS) - Full text
10.
Data Acquisition System of the CLOUD Experiment at CERN / Weber, Stefan K (CERN) ; Miotto, Giovanna Lehmann (CERN) ; Almeida, João (CERN) ; Blanc, Pascal Herve (CERN) ; Dias, António (Lisbon, CENTRA ; Lisbon U.) ; Malaguti, Giulio (CERN) ; Manninen, Hanna E (CERN) ; Pfeifer, Joschka (CERN) ; Ravat, Sylvain (CERN) ; Onnela, Antti (CERN) et al.
The Cosmics Leaving OUtdoor Droplets (CLOUD) experiment at the European Organization for Nuclear Research (CERN) is investigating the nucleation and growth of aerosol particles under atmospheric conditions and their activation into cloud droplets. The experiment comprises an ultraclean 26 m3chamber and its associated systems (the CLOUD facility) together with a suite of around 50 advanced instruments attached to the chamber via sampling probes to analyze its contents. [...]
2021 - 13 p. - Published in : IEEE Trans. Instrum. Meas. 70 (2021) 1-13 Fulltext: PDF;

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