CERN Accélérateur de science

CERN Document Server 93 notices trouvées  1 - 10suivantfin  aller vers la notice: La recherche a duré 0.65 secondes. 
1.
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
2.
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
3.
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
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 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
5.
Neural Networks for Mass Regression for HH $\rightarrow$ bb$\tau\tau$ / Lin, Storm Feng
The value of the Higgs boson self-coupling is predicted by the Standard Model, but it is still largely unconstrained experimentally and thus being actively studied at the ATLAS experiment at the LHC [...]
CERN-THESIS-2023-237 - 40 p.

6.
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
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 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
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.
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
10.
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)

CERN Document Server : 93 notices trouvées   1 - 10suivantfin  aller vers la notice:
Voir aussi: noms d'auteurs similaires
1 Lin, F C
1 Lin, F F
1 Lin, F H
10 Lin, F K
26 Lin, F L
1 Lin, F S
1 Lin, F U
19 Lin, F Y
8 Lin, F-K.
9 Lin, F-L.
3 Lin, F.
1 Lin, F.-H.
1 Lin, F.L.
34 Lin, Fa-Hui
12 Lin, Fahui
1 Lin, Fang
1 Lin, Fang-Pang
1 Lin, Fang-hua
5 Lin, Fanghua
3 Lin, Fanglei
1 Lin, Feiyu
2 Lin, Felix Xiaozhu
6 Lin, Feng
2 Lin, Feng-Cheng
33 Lin, Feng-Li
2 Lin, Fong-Kay
1 Lin, Fou-Lai
1 Lin, Francesco
2 Lin, Fu
8 Lin, Fu-Yuan
10 Lin, Fucai
1 Lin, Fuchun
Vous désirez être averti des nouveaux résultats pour cette recherche?
Abonnez-vous à une alerte email personnalisée ou inscrivez-vous via le flux RSS.
Vous n'avez pas trouvé ce que vous avez cherché? Essayez votre requête sur d'autres serveurs:
Lin, F dans Amazon
Lin, F dans CERN EDMS
Lin, F dans CERN Intranet
Lin, F dans CiteSeer
Lin, F dans Google Books
Lin, F dans Google Scholar
Lin, F dans Google Web
Lin, F dans IEC
Lin, F dans IHS
Lin, F dans INSPIRE
Lin, F dans ISO
Lin, F dans KISS Books/Journals
Lin, F dans KISS Preprints
Lin, F dans NEBIS
Lin, F dans SLAC Library Catalog
Lin, F dans Scirus