Contribution to a conference proceedings/Contribution to a book FZJ-2017-02209

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Framework for Sharing of Highly Resolved Turbulence Simulation Data

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2017
Springer International Publishing Cham
ISBN: 978-3-319-53861-7 (print), 978-3-319-53862-4 (electronic)

High-Performance Scientific Computing / Di Napoli, Edoardo (Editor) ; Cham : Springer International Publishing, 2017, Chapter 19 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-319-53861-7=978-3-319-53862-4 ; doi:10.1007/978-3-319-53862-4
JARA-HPC Symposium 2016, JHPCS2016, AachenAachen, Germany, 4 Oct 2016 - 5 Oct 20162016-10-042016-10-05
Cham : Springer International Publishing, Lecture Notes in Computer Science 10164, 225 - 232 () [10.1007/978-3-319-53862-4_19]

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Abstract: The growing computational capabilities of nowadays super-computers have made highly resolved turbulence simulations possible.The large data-sets and tremendous amount of required compute re-sources create serious new challenges when attempting to share the databetween different research groups. But even more difficult to solve isthe incompatibility of the data formats and numerical approaches usedfor turbulence simulations. In this paper a framework for sharing dataof large scale simulations is presented, which simplifies the access andfurther post-processing even beyond a single supercomputing center. Itcombines established services to provide an easy to manage-and-extendsoftware setup without the need to standardize a database or -format.

Classification:

Contributing Institute(s):
  1. Jülich Supercomputing Center (JSC)
  2. JARA - HPC (JARA-HPC)
Research Program(s):
  1. 511 - Computational Science and Mathematical Methods (POF3-511) (POF3-511)
  2. 512 - Data-Intensive Science and Federated Computing (POF3-512) (POF3-512)
  3. 513 - Supercomputer Facility (POF3-513) (POF3-513)

Appears in the scientific report 2017
Database coverage:
NationallizenzNationallizenz ; SCOPUS
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Document types > Books > Contribution to a book
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 Record created 2017-03-17, last modified 2021-01-29



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