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000828241 020__ $$a978-3-319-53861-7 (print)
000828241 020__ $$a978-3-319-53862-4 (electronic)
000828241 0247_ $$2doi$$a10.1007/978-3-319-53862-4_19
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000828241 0247_ $$2ISSN$$a1611-3349
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000828241 1001_ $$0P:(DE-Juel1)132279$$aTweddell, Bastian$$b0$$ufzj
000828241 1112_ $$aJARA-HPC Symposium 2016$$cAachen$$d2016-10-04 - 2016-10-05$$gJHPCS2016$$wGermany
000828241 245__ $$aFramework for Sharing of Highly Resolved Turbulence Simulation Data
000828241 260__ $$aCham$$bSpringer International Publishing$$c2017
000828241 29510 $$aHigh-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
000828241 300__ $$a225 - 232
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000828241 3367_ $$0PUB:(DE-HGF)7$$2PUB:(DE-HGF)$$aContribution to a book$$mcontb
000828241 4900_ $$aLecture Notes in Computer Science$$v10164
000828241 520__ $$aThe 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.
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000828241 7001_ $$0P:(DE-Juel1)168541$$aGöbbert, Jens Henrik$$b1$$eCorresponding author$$ufzj
000828241 7001_ $$0P:(DE-HGF)0$$aGauding, Michael$$b2
000828241 7001_ $$0P:(DE-HGF)0$$aWeyers, Benjamin$$b3
000828241 7001_ $$0P:(DE-Juel1)132123$$aHagemeier, Björn$$b4$$ufzj
000828241 773__ $$a10.1007/978-3-319-53862-4_19
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000828241 9141_ $$y2017
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