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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Spiga, D.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (19/19 displayed)
- 2023Extending the distributed computing infrastructure of the CMS experiment with HPC resourcescitations
- 2017Design and development of the multilayer optics for the new hard x-ray missioncitations
- 2015Testing multilayer-coated polarizing mirrors for the LAMP soft X-ray telescopecitations
- 2014Integrated modeling for parametric evaluation of smart x-ray opticscitations
- 2013Micro-roughness improvement of slumped glass foils for x-ray telescopes via dip coating
- 2011Technologies for manufacturing of high angular resolution multilayer coated optics for the New Hard X-ray Missioncitations
- 2010Thin gold layer in NiCo and Ni electroforming process: optical surface characterizationcitations
- 2010Technologies for manufacturing of high angular resolution multilayer coated optics for the New Hard X-ray Mission: a status report IIcitations
- 2009Thin gold layer in Ni electroforming process: optical surface characterizationcitations
- 2009Surface smoothness requirements for the mirrors of the IXO x-ray telescopecitations
- 2009Technologies for manufacturing of high angular resolution multilayer coated optics for future new hard x-ray missions: a status reportcitations
- 2008Surface roughness evaluation on mandrels and mirror shells for future X-ray telescopescitations
- 2008Design and development of the SIMBOL-X hard x-ray opticscitations
- 2008Feasibility study for the manufacturing of the multilayer X-ray optics for Simbol-X
- 2008A magnetic diverter for charged particle background rejection in the SIMBOL-X telescopecitations
- 2007Characterization of hydrogenated silicon carbide produced by plasma enhanced chemical vapor deposition at low temperature
- 2007Development of lightweight optical segments for adaptive opticscitations
- 2007Development of a prototype nickel optic for the Constellation-X hard x-ray telescopecitations
- 2005Development of grazing-incidence multilayer mirrors by direct Ni electroforming replication: a status reportcitations
Places of action
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article
Extending the distributed computing infrastructure of the CMS experiment with HPC resources
Abstract
<jats:title>Abstract</jats:title><jats:p>Particle accelerators are an important tool to study the fundamental properties of elementary particles. Currently the highest energy accelerator is the LHC at CERN, in Geneva, Switzerland. Each of its four major detectors, such as the CMS detector, produces dozens of Petabytes of data per year to be analyzed by a large international collaboration. The processing is carried out on the Worldwide LHC Computing Grid, that spans over more than 170 compute centers around the world and is used by a number of particle physics experiments. Recently the LHC experiments were encouraged to make increasing use of HPC resources. While Grid resources are homogeneous with respect to the used Grid middleware, HPC installations can be very different in their setup. In order to integrate HPC resources into the highly automatized processing setups of the CMS experiment a number of challenges need to be addressed. For processing, access to primary data and metadata as well as access to the software is required. At Grid sites all this is achieved via a number of services that are provided by each center. However at HPC sites many of these capabilities cannot be easily provided and have to be enabled in the user space or enabled by other means. At HPC centers there are often restrictions regarding network access to remote services, which is again a severe limitation. The paper discusses a number of solutions and recent experiences by the CMS experiment to include HPC resources in processing campaigns.</jats:p>