Zobrazeno 1 - 10
of 1 310
pro vyhledávání: '"Wenaus Torre"'
Autor:
Guan Wen, Maeno Tadashi, Zhang Rui, Weber Christian, Wenaus Torre, Alekseev Aleksandr, Barreiro Megino Fernando Harald, De Kaushik, Karavakis Edward, Klimentov Alexei, Korchuganova Tatiana, Lin FaHui, Nilsson Paul, Yang Zhaoyu, Zhao Xin
Publikováno v:
EPJ Web of Conferences, Vol 295, p 04019 (2024)
Machine Learning (ML) has become one of the important tools for High Energy Physics analysis. As the size of the dataset increases at the Large Hadron Collider (LHC), and at the same time the search spaces become bigger and bigger in order to exploit
Externí odkaz:
https://doaj.org/article/608883bf64c14d22838a5f744d88400c
Autor:
Karavakis Edward, Guan Wen, Yang Zhaoyu, Maeno Tadashi, Wenaus Torre, Adelman-McCarthy Jennifer, Barreiro Megino Fernando, De Kaushik, Dubois Richard, Gower Michelle, Jenness Tim, Klimentov Alexei, Korchuganova Tatiana, Kowalik Mikolaj, Lin FaHui, Nilsson Paul, Padolski Sergey, Yang Wei, Ye Shuwei
Publikováno v:
EPJ Web of Conferences, Vol 295, p 04026 (2024)
The Vera C. Rubin Observatory will produce an unprecedented astronomical data set for studies of the deep and dynamic universe. Its Legacy Survey of Space and Time (LSST) will image the entire southern sky every three to four days and produce tens of
Externí odkaz:
https://doaj.org/article/068a5638eed64ab38002535ea3c6926c
Publikováno v:
EPJ Web of Conferences, Vol 295, p 04010 (2024)
Monitoring services play a crucial role in the day-to-day operation of distributed computing systems. The ATLAS Experiment at LHC uses the Production and Distributed Analysis workload management system (PanDA WMS), which allows a million computationa
Externí odkaz:
https://doaj.org/article/90847c50373646a5aca6cbc42dbb7484
Autor:
Maeno Tadashi, Alekseev Aleksandr, Barreiro Megino Fernando Harald, De Kaushik, Guan Wen, Karavakis Edward, Klimentov Alexei, Korchuganova Tatiana, Lin FaHui, Nilsson Paul, Wenaus Torre, Yang Zhaoyu, Zhao Xin
Publikováno v:
EPJ Web of Conferences, Vol 295, p 04053 (2024)
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. Support for such workflows has allowed users to exploit remote computing resou
Externí odkaz:
https://doaj.org/article/b409fdefb93649849c9a152318be75ba
Autor:
Fanelli Cristiano, Giroux James, McSpadden Diana, Rajput Kishansingh, Suresh Karthik, Cisbani Evaristo, Deconinck Wouter, Walter Eric, Bressan Andrea, Diefenthaler Markus, Horn Tanja, Wenaus Torre
Publikováno v:
EPJ Web of Conferences, Vol 295, p 08004 (2024)
The inaugural AI4EIC Hackathon unfolded as a high-point satellite event during the second AI4EIC Workshop at William & Mary. The workshop itself boasted over two hundred participants in a hybrid format and delved into the myriad applications of Artif
Externí odkaz:
https://doaj.org/article/d343b2c077e2454daf5333603e66a399
Autor:
Karavakis, Edward, Guan, Wen, Yang, Zhaoyu, Maeno, Tadashi, Wenaus, Torre, Adelman-McCarthy, Jennifer, Megino, Fernando Barreiro, De, Kaushik, Dubois, Richard, Gower, Michelle, Jenness, Tim, Klimentov, Alexei, Korchuganova, Tatiana, Kowalik, Mikolaj, Lin, Fa-Hui, Nilsson, Paul, Padolski, Sergey, Yang, Wei, Ye, Shuwei
The Vera C. Rubin Observatory will produce an unprecedented astronomical data set for studies of the deep and dynamic universe. Its Legacy Survey of Space and Time (LSST) will image the entire southern sky every three to four days and produce tens of
Externí odkaz:
http://arxiv.org/abs/2312.04921
Autor:
Guan Wen, Maeno Tadashi, Bockelman Brian Paul, Wenaus Torre, Lin Fahui, Padolski Siarhei, Zhang Rui, Alekseev Aleksandr
Publikováno v:
EPJ Web of Conferences, Vol 251, p 02007 (2021)
The intelligent Data Delivery Service (iDDS) has been developed to cope with the huge increase of computing and storage resource usage in the coming LHC data taking. iDDS has been designed to intelligently orchestrate workflow and data management sys
Externí odkaz:
https://doaj.org/article/edb4242ef0ec4be3bb036b8406baf8df
Autor:
Biscarat Catherine, Boccali Tommaso, Bonacorsi Daniele, Bozzi Concezio, Costanzo Davide, Duellmann Dirk, Elmsheuser Johannes, Fede Eric, Flix Molina José, Giordano Domenico, Grigoras Costin, Iven Jan, Jouvin Michel, Kemp Yves, Lange David, Maganza Riccardo, Meinhard Helge, Michelotto Michele, Roy Gareth Douglas, Sansum Andrew, Sartirana Andrea, Schulz Markus, Sciabà Andrea, Smirnova Oxana, Stewart Graeme, Valassi Andrea, Vernet Renaud, Wenaus Torre, Wuerthwein Frank
Publikováno v:
EPJ Web of Conferences, Vol 245, p 03014 (2020)
The increase in the scale of LHC computing during Run 3 and Run 4 (HL-LHC) will certainly require radical changes to the computing models and the data processing of the LHC experiments. The working group established by WLCG and the HEP Software Found
Externí odkaz:
https://doaj.org/article/139f1f9567c24d00b856405b6c8b8b31
Autor:
Guan Wen, Maeno Tadashi, Dimitrov Gancho, Bockelman Brian Paul, Wenaus Torre, Tsulaia Vakhtang, Magini Nicolo
Publikováno v:
EPJ Web of Conferences, Vol 245, p 04015 (2020)
The ATLAS Event Streaming Service (ESS) at the LHC is an approach to preprocess and deliver data for Event Service (ES) that has implemented a fine-grained approach for ATLAS event processing. The ESS allows one to asynchronously deliver only the inp
Externí odkaz:
https://doaj.org/article/c09ed1ec8f65447d999f124267b75149
Autor:
Svirin Pavlo, De Kaushik, Forti Alessandra, Klimentov Alexei, Larsen Rasmus, Love Peter, Maeno Tadashi, Mashinistov Ruslan, Mukherjee Swagato, Nomerotski Andrei, Oleynik Danila, Panitkin Sergey, Park Hye Yun, Sheldon Erin, Slosar Anze, Wells Jack, Wenaus Torre
Publikováno v:
EPJ Web of Conferences, Vol 214, p 03050 (2019)
Modern experiments collect peta-scale volumes of data and utilize vast, geographically distributed computing infrastructure that serves thousands of scientists around the world. Requirements for rapid, near real-time data processing, fast analysis cy
Externí odkaz:
https://doaj.org/article/e4a014a4af7d46b8ae664cd8b48fd200