Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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1.080 Topics available

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693.932 PEOPLE
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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2023Extending the distributed computing infrastructure of the CMS experiment with HPC resources4citations

Places of action

Chart of shared publication
Yzquierdo, A. Pérez-Calero
1 / 1 shared
Ozturk, H.
1 / 1 shared
Mohapatra, A. K.
1 / 1 shared
Madlener, T.
1 / 1 shared
Adelman-Mccarthy, J.
1 / 1 shared
Boccali, T.
1 / 1 shared
Wissing, C.
1 / 1 shared
Fischer, M.
1 / 16 shared
Giffels, M.
1 / 1 shared
Peris, A. Delgado
1 / 1 shared
Spiga, D.
1 / 19 shared
Molina, J. Flix
1 / 1 shared
Hernández, J. M.
1 / 1 shared
Hufnagel, D.
1 / 1 shared
Kühn, E.
1 / 1 shared
Chart of publication period
2023

Co-Authors (by relevance)

  • Yzquierdo, A. Pérez-Calero
  • Ozturk, H.
  • Mohapatra, A. K.
  • Madlener, T.
  • Adelman-Mccarthy, J.
  • Boccali, T.
  • Wissing, C.
  • Fischer, M.
  • Giffels, M.
  • Peris, A. Delgado
  • Spiga, D.
  • Molina, J. Flix
  • Hernández, J. M.
  • Hufnagel, D.
  • Kühn, E.
OrganizationsLocationPeople

article

Extending the distributed computing infrastructure of the CMS experiment with HPC resources

  • Yzquierdo, A. Pérez-Calero
  • Ozturk, H.
  • Mohapatra, A. K.
  • Madlener, T.
  • Adelman-Mccarthy, J.
  • Boccali, T.
  • Wissing, C.
  • Caspart, R.
  • Fischer, M.
  • Giffels, M.
  • Peris, A. Delgado
  • Spiga, D.
  • Molina, J. Flix
  • Hernández, J. M.
  • Hufnagel, D.
  • Kühn, E.
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>

Topics
  • impedance spectroscopy
  • experiment