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1.
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)) ; Lassnig, Mario (CERN) ; Maeno, Tadashi (Brookhaven National Laboratory (US)) ; Korchuganova, Tatiana (University of Pittsburgh (US)) ; Leduc, Julien (CERN) ; Musheghyan, Haykuhi (Georg August Universitaet Goettingen (DE)) ; Zhao, Xin (Brookhaven National Laboratory (US)) ; Ressmann, Doris (KIT)
The High Luminosity upgrade to the LHC (HL-LHC) is expected to deliver scientific data at the multi-exabyte scale. [...]
ATL-SOFT-PROC-2025-014.
- 2025 - 7.
Original Communication (restricted to ATLAS) - Full text
2.
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
3.
Modernizing ATLAS PanDA for a sustainable multi-experiment future / ATLAS Collaboration
In early 2024, ATLAS undertook an architectural review to evaluate the functionalities of its current components within the workflow and workload management ecosystem. Pivotal to the review was the assessment of the Production and Distributed Analysis (PanDA) system, which plays a vital role in the overall infrastructure. [...]
ATL-SOFT-SLIDE-2024-537.- Geneva : CERN, 2024 - 10 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
4.
A Function-as-a-Task Workflow Management Approach with PanDA and iDDS / ATLAS Collaboration
The growing complexity of high energy physics analysis often involves running various distinct applications. [...]
ATL-SOFT-PROC-2024-001.
- 2024. - 7 p.
Original Communication (restricted to ATLAS) - Full text
5.
Software and computing for Run 3 of the ATLAS experiment at the LHC / ATLAS Collaboration
The ATLAS experiment has developed extensive software and distributed computing systems for Run 3 of the LHC. [...]
arXiv:2404.06335 ; CERN-EP-2024-100.
- 2024 - 175.
Fulltext - Previous draft version - Fulltext
6.
A Function-as-a-Task Workflow Management Approach with PanDA and iDDS / ATLAS Collaboration
The growing complexity of high energy physics analysis often involves running a large number of different tools. This demands a multi-step data processing approach, with each step requiring different resources and carrying dependencies on preceding steps. [...]
ATL-SOFT-SLIDE-2024-037.- Geneva : CERN, 2024 - 21 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 22nd International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Stony Brook, Us, 11 - 15 Mar 2024
7.
Utilizing Distributed Heterogeneous Computing with PanDA in ATLAS / ATLAS Collaboration
In recent years, advanced and complex analysis workflows have gained increasing importance in the ATLAS experiment at CERN, one of the large scientific experiments at LHC. [...]
ATL-SOFT-PROC-2023-022.
- 2024 - 8.
Original Communication (restricted to ATLAS) - Full text
8.
Distributed Machine Learning Workflow with PanDA and iDDS in LHC ATLAS / ATLAS Collaboration
Machine Learning (ML) has become one of the important tools for High Energy Physics analysis. [...]
ATL-SOFT-PROC-2023-010.
- 2024 - 6.
Original Communication (restricted to ATLAS) - Full text
9.
Updates to the ATLAS Data Carousel Project / Borodin, Misha (University of Iowa (US)) ; Cameron, David (University of Oslo (NO)) ; Klimentov, Alexei (Brookhaven National Laboratory (US)) ; Korchuganova, Tatiana (University of Pittsburgh (US)) ; Lassnig, Mario (CERN) ; Maeno, Tadashi (Brookhaven National Laboratory (US)) ; Musheghyan, Haykuhi (Georg August Universitaet Goettingen (DE)) ; South, David (Deutsches Elektronen-Synchrotron (DE)) ; Zhao, Xin (Brookhaven National Laboratory (US))
The High Luminosity upgrade to the LHC (HL-LHC) is expected to deliver scientific data at the multi-exabyte scale. [...]
ATL-SOFT-PROC-2023-007.
- 2024 - 6.
Original Communication (restricted to ATLAS) - Full text
10.
Utilizing Distributed Heterogeneous Computing with PanDA in ATLAS / ATLAS Collaboration
In recent years, advanced and complex analysis workflows have gained increasing importance in the ATLAS experiment at CERN, one of the large scientific experiments at the Large Hadron Collider (LHC). Support for such workflows has allowed users to exploit remote computing resources and service providers distributed worldwide, overcoming limitations on local resources and services. [...]
ATL-SOFT-SLIDE-2023-156.- Geneva : CERN, 2023 - 14 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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1 Zhao, X -H
1 Zhao, X A
2 Zhao, X C
1 Zhao, X D
9 Zhao, X F
22 Zhao, X G
47 Zhao, X H
27 Zhao, X J
1 Zhao, X K
4 Zhao, X L
1 Zhao, X M
5 Zhao, X P
1 Zhao, X W
1 Zhao, X Y
15 Zhao, X.
2 Zhao, X.F.
1 Zhao, X.H.
5 Zhao, X.Y.
2 Zhao, Xian-Geng
1 Zhao, Xianbo
463 Zhao, Xiandong
4 Zhao, Xiang
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1 Zhao, Xianghu
1 Zhao, Xiangmo
1 Zhao, Xiangui
4 Zhao, Xiao
1 Zhao, Xiao Hui
1 Zhao, Xiao P
4 Zhao, Xiao-Hong
2 Zhao, Xiao-Liang
1 Zhao, Xiao-Ling
4 Zhao, Xiao-Qiang
1 Zhao, Xiao-Xia
2 Zhao, Xiao-Ying
3 Zhao, Xiao-Yun
2 Zhao, Xiao-ying
1 Zhao, Xiaobin
1 Zhao, Xiaobo
8 Zhao, Xiaochuan
2 Zhao, Xiaodan
2 Zhao, Xiaofei
5 Zhao, Xiaoguang
3 Zhao, Xiaohan
1 Zhao, Xiaohong
1 Zhao, Xiaojun
7 Zhao, Xiaopeng
17 Zhao, Xiaoran
1 Zhao, Xiaoyan
2 Zhao, Xiaoyun
2 Zhao, Xin Yu
1 Zhao, Xin-Yan
1 Zhao, Xinbo
1 Zhao, Xinchao
3 Zhao, Xing
1 Zhao, Xing-Dong
25 Zhao, Xingbo
5 Zhao, Xinghai
3 Zhao, Xingqiu
1 Zhao, Xingyu
1 Zhao, Xinhua
1 Zhao, Xining
1 Zhao, Xinli
6 Zhao, Xinyu
4 Zhao, Xishun
1 Zhao, Xiu-Liang
1 Zhao, Xu-An
11 Zhao, XuLin
3 Zhao, Xudong
1 Zhao, Xuean
2 Zhao, Xuepu
2 Zhao, Xueyan
2 Zhao, Xueying
3 Zhao, Xuezhi
1 Zhao, Xuezhuang
2 Zhao, Xufeng
1 Zhao, Xuhai
1 Zhao, Xujun
11 Zhao, Xulin
1 Zhao, Xupeng
1 Zhao, Xuxin
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