%0 Conference Paper
%A Tweddell, Bastian
%A Göbbert, Jens Henrik
%A Gauding, Michael
%A Weyers, Benjamin
%A Hagemeier, Björn
%T Framework for Sharing of Highly Resolved Turbulence Simulation Data
%V 10164
%C Cham
%I Springer International Publishing
%M FZJ-2017-02209
%@ 978-3-319-53861-7 (print)
%B Lecture Notes in Computer Science
%P 225 - 232
%D 2017
%< 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
%X 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.
%B JARA-HPC Symposium 2016
%C 4 Oct 2016 - 5 Oct 2016, Aachen (Germany)
Y2 4 Oct 2016 - 5 Oct 2016
M2 Aachen, Germany
%F PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
%9 Contribution to a conference proceedingsContribution to a book
%R 10.1007/978-3-319-53862-4_19
%U https://juser.fz-juelich.de/record/828241