Zobrazeno 1 - 10
of 1 351
pro vyhledávání: '"Di Girolamo Alessandro"'
Autor:
Andreeva Julia, Anisenkov Alexey, Di Girolamo Alessandro, Paparrigopoulos Panos, Szczepanek Natalia Diana
Publikováno v:
EPJ Web of Conferences, Vol 295, p 01014 (2024)
WLCG is a large heterogeneous computing infrastructure which provides resources for the LHC experiments. The Computing Resource Information Catalogue (CRIC) has been designed as the source for the WLCG topology information. CRIC aims to describe WLCG
Externí odkaz:
https://doaj.org/article/a1c367ce8d634b0b947104500e94fc99
Publikováno v:
EPJ Web of Conferences, Vol 295, p 07035 (2024)
The ATLAS Trigger and Data Acquisition (TDAQ) High Level Trigger (HLT) computing farm contains 120 000 CPU cores. These resources are critical for the online selection and collection of collision data in the ATLAS experiment during LHC operation. Sin
Externí odkaz:
https://doaj.org/article/7cdb8140ff934eb2a51e93530319eb2e
Autor:
Barreiro Megino Fernando, Borodin Mikhail, De Kaushik, Elmsheuser Johannes, Di Girolamo Alessandro, Hartmann Nikolai, Heinrich Lukas, Klimentov Alexei, Lassnig Mario, Lin FaHui, Maeno Tadashi, Marshall Zachary, Merino Gonzalo, Nilsson Paul, Sandesara Jay, Serfon Cedric, South David, Singh Harinder
Publikováno v:
EPJ Web of Conferences, Vol 295, p 07002 (2024)
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&
Externí odkaz:
https://doaj.org/article/d4d0706a45be45738f4e82b285a2a385
Autor:
Szczepanek, Natalia, Britton, David, Di Girolamo, Alessandro, Ketele, Ewoud, Glushkov, Ivan, Giordano, Domenico, Ondris, Ladislav, Simili, Emanuele, Borge, Gonzalo Menendez
As the scientific community continues to push the boundaries of computing capabilities, there is a growing responsibility to address the associated energy consumption and carbon footprint. This responsibility extends to the Worldwide LHC Computing Gr
Externí odkaz:
http://arxiv.org/abs/2408.12445
Autor:
Borodin Mikhail, Di Girolamo Alessandro, Karavakis Edward, Klimentov Alexei, Korchuganova Tatiana, Lassnig Mario, Maeno Tadashi, Padolski Siarhei, Zhao Xin
Publikováno v:
EPJ Web of Conferences, Vol 251, p 02006 (2021)
The High Luminosity upgrade to the LHC, which aims for a tenfold increase in the luminosity of proton-proton collisions at an energy of 14 TeV, is expected to start operation in 2028/29 and will deliver an unprecedented volume of scientific data at t
Externí odkaz:
https://doaj.org/article/65b7f8438b5d4b28b3f48a951c024d78
Autor:
Beermann Thomas, Chuchuk Olga, Di Girolamo Alessandro, Grigorieva Maria, Klimentov Alexei, Lassnig Mario, Schulz Markus, Sciaba Andrea, Tretyakov Eugeny
Publikováno v:
EPJ Web of Conferences, Vol 251, p 02013 (2021)
The ATLAS Experiment at the LHC generates petabytes of data that is distributed among 160 computing sites all over the world and is processed continuously by various central production and user analysis tasks. The popularity of data is typically meas
Externí odkaz:
https://doaj.org/article/a8d33560ddc24360b0e4ae5eb8e675f4
Enabling Data Intensive Science on Supercomputers for High Energy Physics R&D Projects in HL-LHC Era
Autor:
Klimentov Alexei, Benjamin Douglas, Di Girolamo Alessandro, De Kaushik, Elmsheuser Johannes, Filipcic Andrej, Kiryanov Andrey, Oleynik Danila, Wells Jack C., Zarochentsev Andrey, Zhao Xin
Publikováno v:
EPJ Web of Conferences, Vol 226, p 01007 (2020)
The ATLAS experiment at CERN’s Large Hadron Collider uses theWorldwide LHC Computing Grid, the WLCG, for its distributed computing infrastructure. Through the workload management system PanDA and the distributed data management system Rucio, ATLAS
Externí odkaz:
https://doaj.org/article/b9e9a7b50a5a476d96ef042e8c73a392
Autor:
Andreeva Julia, Anisenkov Alexey, Di Girolamo Alessandro, Forti Alessandra, Jones Stephen, Konya Balazs, McNab Andrew, Paparrigopoulos Panos
Publikováno v:
EPJ Web of Conferences, Vol 245, p 03029 (2020)
The WLCG project aimed to develop, build, and maintain a global computing facility for storage and analysis of the LHC data. While currently most of the LHC computing resources are being provided by the classical grid sites, over the last years the L
Externí odkaz:
https://doaj.org/article/3009e1b5a68d4263bc43c90220588d8c
Autor:
Di Girolamo Alessandro, Legger Federica, Paparrigopoulos Panos, Klimentov Alexei, Schovancová Jaroslava, Kuznetsov Valentin, Lassnig Mario, Clissa Luca, Rinaldi Lorenzo, Sharma Mayank, Bakhshiansohi Hamed, Zvada Marian, Bonacorsi Daniele, Rossi Tisbeni Simone, Giommi Luca, Decker de Sousa Leticia, Diotalevi Tommaso, Grigorieva Maria, Padolski Sergey
Publikováno v:
EPJ Web of Conferences, Vol 245, p 03017 (2020)
In the near future, large scientific collaborations will face unprecedented computing challenges. Processing and storing exabyte datasets require a federated infrastructure of distributed computing resources. The current systems have proven to be mat
Externí odkaz:
https://doaj.org/article/eba64b036a784512a14fd4605431035c
Autor:
Barisits Martin, Borodin Mikhail, Di Girolamo Alessandro, Elmsheuser Johannes, Golubkov Dmitry, Klimentov Alexei, Lassnig Mario, Maeno Tadashi, Walker Rodney, Zhao Xin
Publikováno v:
EPJ Web of Conferences, Vol 245, p 04035 (2020)
The ATLAS experiment at CERN’s LHC stores detector and simulation data in raw and derived data formats across more than 150 Grid sites world-wide, currently in total about 200PB on disk and 250PB on tape. Data have different access characteristics
Externí odkaz:
https://doaj.org/article/7142ddd62fc24e23828da9e82a53f29c