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CERN Document Server 找到 50 筆記錄  1 - 10下一個最後  跳到記錄: 檢索需時 0.66 秒. 
1.
CI/CD Pipeline Optimization: Reducing Docker Image Build Time / Almuqaisib, Jana Kh A O
This report details the optimization of a CI/CD pipeline for the CRAB project at CERN, aimed at reducing Docker image build times [...]
CERN-STUDENTS-Note-2024-066. - 2024
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2.
Building of CRAB Spark Data Pipeline / Atthaphan, Ek-Ong
CMS Remote Analysis Builder (CRAB) has an important role to help CMS users submit analysis jobs to the LHC Computing Grid. [...]
CERN-STUDENTS-Note-2023-070. - 2023
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3.
Using MQTT and Node-RED to monitor the ATLAS Metadata Interface (AMI) stack and define metadata aggregation tasks in a pipelined way. / Odier, Jerome (Centre National de la Recherche Scientifique (FR)) ; Lambert, Fabian (Centre National de la Recherche Scientifique (FR)) ; Fulachier, Jerome Henri (Centre National de la Recherche Scientifique (FR)) ; Delsart, Pierre Antoine (Centre National de la Recherche Scientifique (FR)) ; Jaume, Maxime (Centre National de la Recherche Scientifique (FR)) /ATLAS Collaboration
ATLAS Metadata Interface (AMI) is a generic ecosystem for metadata aggregation, transformation and cataloging. Benefiting from more than 20 years of feedback in the LHC context, the second major version was released in 2018. [...]
ATL-SOFT-SLIDE-2023-159.- Geneva : CERN, 2023 - 1 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
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4.
Resource Optimization for Log Shipper and Preprocessing Pipeline in a Large-Scale Logging System / Lertwuthikarn, Thanarit (KMUTT, Bangkok) ; Barroso, Vasco Chibante (CERN) ; Akkarajitsakul, Khajonpong (KMUTT, Bangkok)
In resource management, resource optimization is a usual technique to proceed for most professional organizations in order to reduce expenses and to dispose unnecessary resource usages. The European Organization for Nuclear Research (CERN) intends to implement a logging system based on AI for A Large Ion Collider Experiment detector, or ALICE. [...]
2022 - 5 p. - Published in : 10.1109/ICKII55100.2022.9983590
In : 2022 IEEE 5th International Conference on Knowledge Innovation and Invention (ICKII 2022), Hualien, Taiwan, 22 - 24 Jul 2022
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5.
Development of monitoring solutions for LHC gas systems / Vanslambrouck, Pieter Stefaan
The EP-DT-FS team is in charge of monitoring the LHC gas systems. [...]
CERN-STUDENTS-Note-2022-152. - 2022
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6.
C++ Declarative API – Implementation Overview Within the XRootD Framework / Poenaru, Robert (Bucharest, IFIN-HH) ; Simon, Michal (CERN)
A brief description of the XRootD architecture and its purpose within the Worldwide Large Hadron Collider Computing Grid (WLCG), alongside an overview of the server-and client- sides of the XRootD framework are discussed in the present work. The client-side of XRootD has a relatively new feature called Declarative API. [...]
2020 - 8 p. - Published in : 10.1109/RoEduNet51892.2020.9324858
In : 19th RoEduNet Conference : Networking in Education and Research, Bucharest, Romania, 11 - 12 Dec 2020
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7.
Exploring the self-service model to visualize the results of the ATLAS Machine Learning analysis jobs in BigPanDA with Openshift OKD3 / Stan, Ioan-Mihail (University Politehnica Bucharest) ; Padolski, Siarhei (Brookhaven National Laboratory (BNL)) ; Lee, Christopher Jon (Stony Brook University)
A large scientific computing infrastructure must provide sufficient versatility to host any kind of experiment that can lead to innovative ideas and great discoveries. [...]
ATL-SOFT-PROC-2021-016. - 2021. - 12 p.
Original Communication (restricted to ATLAS) - Full text
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8.
Containerization in ATLAS Software Development and Data Production / Ozturk, Nurcan (The University of Texas at Arlington) ; Undrus, Alexander (Brookhaven National Laboratory (BNL)) ; Vogel, Marcelo (Bergische Universitaet Wuppertal) ; Forti, Alessandra (School of Physics and Astronomy, University of Manchester)
The ATLAS experiment’s software production and distribution on the grid benefits from an almost automated infrastructure that provides the up-to-date information about software usability and availability through the CVMFS distribution service for all relevant systems. [...]
ATL-SOFT-PROC-2021-011. - 2021. - 8 p.
Original Communication (restricted to ATLAS) - Full text
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9.
Containerization in ATLAS Software Development and Data Production / Ozturk, Nurcan (University of Texas at Arlington (US)) ; Undrus, Alexander (Brookhaven National Laboratory (US)) ; Vogel, Marcelo (University of Texas at Arlington (US)) ; Forti, Alessandra (University of Manchester (GB)) /ATLAS Collaboration
The ATLAS experiment’s software production and distribution on the grid benefits from a semi-automated infrastructure that provides up-to-date information about software usability and availability through the CVMFS distribution service for all relevant systems. The software development process uses a Continuous Integration pipeline involving testing, validation, packaging and installation steps. [...]
ATL-SOFT-SLIDE-2021-141.- Geneva : CERN, 2021 - 10 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021
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10.
Deep Generative Models for Fast Shower Simulation in ATLAS / Salamani, Dalila (Geneva U.) ; Gadatsch, Stefan (Geneva U.) ; Golling, Tobias (Geneva U.) ; Stewart, Graeme Andrew (CERN) ; Ghosh, Aishik (Orsay, LAL) ; Rousseau, David (Orsay, LAL) ; Hasib, Ahmed (Edinburgh U.) ; Schaarschmidt, Jana (Washington U., Seattle)
Detectors of High Energy Physics experiments, such as the ATLAS dectector [1] at the Large Hadron Collider [2], serve as cameras that take pictures of the particles produced in the collision events. One of the key detector technologies used for measuring the energy of particles are calorimeters. [...]
2018 - 1 p. - Published in : 10.1109/eScience.2018.00091
In : 14th eScience IEEE International Conference, Amsterdam, Netherlands, 29 Oct - 1 Nov 2018, pp.348
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