CERN Accelerating science

CERN Document Server 731 záznamov nájdených  1 - 10ďalšíkoniec  skoč na záznam: Hľadanie trvalo 0.77 sekúnd. 
1.
The Dynafed data federator as a grid site storage element / Ebert, Marcus (Victoria U.) ; Berghaus, Frank (Victoria U.) ; Casteels, Kevin (Victoria U.) ; Driemel, Colson (Victoria U.) ; Keeble, Oliver (CERN) ; Leavett-Brown, Colin (Victoria U.) ; Galindo, Fernando Fernandez (TRIUMF) ; Furano, Fabrizio (CERN) ; Paterson, Michael (Victoria U.) ; Seuster, Rolf (Victoria U.) et al.
The Dynafed data federator is designed to present a dynamic and unified view of a distributed file repository. We describe our use of Dynafed to construct a production-ready WLCG storage element (SE) using existing grid storage endpoints as well as object storage. [...]
2020 - 7 p. - Published in : EPJ Web Conf. 245 (2020) 04003 Fulltext from publisher: PDF;
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.04003
2.
Trends in computing technologies and markets: The HEPiX TechWatch WG / Sciaba, Andrea (CERN) ; Meinhard, Helge (CERN) ; Cancio, Germán (CERN) ; Gasthuber, Martin (DESY) ; Hollowell, Christopher (Brookhaven Natl. Lab.) ; Michelotto, Michele (INFN, Rome) ; Martelli, Edoardo (CERN) ; Muralidharan, Servesh (CERN) ; Panzer-Steindel, Bernd (CERN) ; Seuster, Rolf (CERN) et al.
Driven by the need to carefully plan and optimise the resources for the next data taking periods of Big Science projects, such as CERN’s Large Hadron Collider and others, sites started a common activity, the HEPiX Technology Watch Working Group, tasked with tracking the evolution of technologies and markets of concern to the data centres. The talk will give an overview of general and semiconductor markets, server markets, CPUs and accelerators, memories, storage and networks; it will highlight important areas of uncertainties and risks..
2020 - 11 p. - Published in : EPJ Web Conf. 245 (2020) 07056 Fulltext from publisher: PDF;
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.07056
3.
Sim@P1: Using Cloudscheduler for offline processing on the ATLAS HLT farm / ATLAS Collaboration
The Simulation at Point1 (Sim@P1) project was established in 2013 to take advantage of the Trigger and Data Acquisition High Level Trigger (HLT) farm of the ATLAS experiment at the LHC. The HLT farm is a significant compute resource, which is critical to ATLAS during data taking. [...]
EDP Sciences, 2019 - 8 p. - Published in : EPJ Web Conf. 214 (2019) 07021 Published fulltext: PDF;
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.07021
4.
ATLAS Sim@P1 upgrades during long shutdown two / ATLAS Collaboration
The Simulation at Point1 (Sim@P1) project was built in 2013 to take advantage of the ATLAS Trigger and Data Acquisition High Level Trigger (HLT) farm. [...]
ATL-SOFT-PROC-2020-021.
- 2020. - 6 p.
Original Communication (restricted to ATLAS) - Full text - Fulltext from publisher
5.
Using Kubernetes as an ATLAS computing site / ATLAS Collaboration
In recent years containerization has revolutionized cloud environments, providing a secure, lightweight, standardized way to package and execute software. [...]
ATL-SOFT-PROC-2020-007.
- 2020. - 7 p.
Original Communication (restricted to ATLAS) - Full text - Full text - Full text
6.
ATLAS Sim@P1 upgrades during long shutdown two / ATLAS Collaboration
The Simulation at Point1 (Sim@P1) project was built in 2013 to take advantage of the ATLAS Trigger and Data Acquisition High Level Trigger (HLT) farm. The HLT farm provides around 100,000 cores, which are critical to ATLAS during data taking. [...]
ATL-SOFT-SLIDE-2019-783.- Geneva : CERN, 2019 - 12 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019
7.
Integrating a dynamic data federation into the ATLAS distributed data management system / Berghaus, Frank (U. Victoria (main)) ; Wegner, Tobias Thomas (CERN) ; Lassnig, Mario (CERN) ; Ebert, Marcus (U. Victoria (main)) ; Serfon, Cedric (Oslo U.) ; Fernandez Galindo, Fernando (TRIUMF) ; Seuster, Rolf (U. Victoria (main)) ; Garonne, Vincent (CERN) ; Tafirout, Reda (TRIUMF) ; Sobie, Randall (U. Victoria (main))
Input data for applications that run in cloud computing centres can be stored at remote repositories, typically with multiple copies of the most popular data stored at many sites. [...]
ATL-SOFT-PROC-2018-015.
- 2019. - 4 p.
Original Communication (restricted to ATLAS) - ATLAS Note - Fulltext from publisher
8.
Sim@P1 / Berghaus, Frank (University of Victoria) ; Lee, Christopher Jon (University of Cape Town) ; Brasolin, Franco (Universita e INFN, Bologna) ; Scannicchio, Diana (University of California, Irvine) ; Casteels, Kevin (University of Victoria) ; Ebert, Marcus (University of Victoria) ; Leavett-brown, Colin Roy (University of Victoria) ; Paterson, Michael (University of Victoria) ; Seuster, Rolf (University of Victoria) ; Sobie, Randall (University of Victoria)
The Simulation at Point1 (Sim@P1) project was built in 2013 to take advantage of the ATLAS Trigger and Data Acquisition High Level Trigger (HLT) farm. [...]
ATL-SOFT-PROC-2018-005.
- 2018. - 7 p.
Original Communication (restricted to ATLAS) - Full text
9.
Sim@P1: Using Cloudscheduler for offline processing on the ATLAS HLT farm / ATLAS Collaboration
The Simulation at Point1 (Sim@P1) project was built in 2013 to take advantage of the ATLAS Trigger and Data Acquisition High Level Trigger (HLT) farm. The HLT farm provides more than 2,000 compute nodes, which are critical to ATLAS during data taking. [...]
ATL-SOFT-SLIDE-2018-433.- Geneva : CERN, 2018 - 15 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018
10.
Integrating a dynamic data federation into the ATLAS distributed data management system / Berghaus, Frank (University of Victoria) ; Wegner, Tobias Thomas (European Laboratory for Particle Physics, CERN) ; Lassnig, Mario (European Laboratory for Particle Physics, CERN) ; Ebert, Marcus (University of Victoria) ; Serfon, Cedric (University of Oslo) ; Fernandez Galindo, Fernando (TRIUMF) ; Seuster, Rolf (University of Victoria) ; Garonne, Vincent (University of Oslo) ; Tafirout, Reda (TRIUMF) ; Sobie, Randall (University of Victoria) /ATLAS Collaboration
Input data for applications that run in cloud computing centres can be stored at remote repositories, typically with multiple copies of the most popular data stored at many sites. Locating and retrieving the remote data can be challenging, and we believe that federating the storage can address this problem. [...]
ATL-SOFT-SLIDE-2018-394.- Geneva : CERN, 2018 - 1 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018

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