guest ::
| Home > Publications database > Framework for Sharing of Highly Resolved Turbulence Simulation Data > print |
| Home > Publications database > Framework for Sharing of Highly Resolved Turbulence Simulation Data > print |
| 001 | 828241 | ||
| 005 | 20210129230035.0 | ||
| 020 | _ | _ | |a 978-3-319-53861-7 (print) |
| 020 | _ | _ | |a 978-3-319-53862-4 (electronic) |
| 024 | 7 | _ | |a 10.1007/978-3-319-53862-4_19 |2 doi |
| 024 | 7 | _ | |a 0302-9743 |2 ISSN |
| 024 | 7 | _ | |a 1611-3349 |2 ISSN |
| 037 | _ | _ | |a FZJ-2017-02209 |
| 082 | _ | _ | |a 004 |
| 100 | 1 | _ | |a Tweddell, Bastian |0 P:(DE-Juel1)132279 |b 0 |u fzj |
| 111 | 2 | _ | |a JARA-HPC Symposium 2016 |g JHPCS2016 |c Aachen |d 2016-10-04 - 2016-10-05 |w Germany |
| 245 | _ | _ | |a Framework for Sharing of Highly Resolved Turbulence Simulation Data |
| 260 | _ | _ | |a Cham |c 2017 |b Springer International Publishing |
| 295 | 1 | 0 | |a 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 |
| 300 | _ | _ | |a 225 - 232 |
| 336 | 7 | _ | |a CONFERENCE_PAPER |2 ORCID |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Conference Paper |2 DataCite |
| 336 | 7 | _ | |a Contribution to a conference proceedings |b contrib |m contrib |0 PUB:(DE-HGF)8 |s 1518075127_26006 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a Contribution to a book |0 PUB:(DE-HGF)7 |2 PUB:(DE-HGF) |m contb |
| 490 | 0 | _ | |a Lecture Notes in Computer Science |v 10164 |
| 520 | _ | _ | |a 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. |
| 536 | _ | _ | |a 511 - Computational Science and Mathematical Methods (POF3-511) |0 G:(DE-HGF)POF3-511 |c POF3-511 |f POF III |x 0 |
| 536 | _ | _ | |a 512 - Data-Intensive Science and Federated Computing (POF3-512) |0 G:(DE-HGF)POF3-512 |c POF3-512 |f POF III |x 1 |
| 536 | _ | _ | |a 513 - Supercomputer Facility (POF3-513) |0 G:(DE-HGF)POF3-513 |c POF3-513 |f POF III |x 2 |
| 588 | _ | _ | |a Dataset connected to CrossRef Book Series |
| 700 | 1 | _ | |a Göbbert, Jens Henrik |0 P:(DE-Juel1)168541 |b 1 |e Corresponding author |u fzj |
| 700 | 1 | _ | |a Gauding, Michael |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Weyers, Benjamin |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Hagemeier, Björn |0 P:(DE-Juel1)132123 |b 4 |u fzj |
| 773 | _ | _ | |a 10.1007/978-3-319-53862-4_19 |
| 909 | C | O | |p VDB |o oai:juser.fz-juelich.de:828241 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)132279 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)168541 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 4 |6 P:(DE-Juel1)132123 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |1 G:(DE-HGF)POF3-510 |0 G:(DE-HGF)POF3-511 |2 G:(DE-HGF)POF3-500 |v Computational Science and Mathematical Methods |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |l Supercomputing & Big Data |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |1 G:(DE-HGF)POF3-510 |0 G:(DE-HGF)POF3-512 |2 G:(DE-HGF)POF3-500 |v Data-Intensive Science and Federated Computing |x 1 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |l Supercomputing & Big Data |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |1 G:(DE-HGF)POF3-510 |0 G:(DE-HGF)POF3-513 |2 G:(DE-HGF)POF3-500 |v Supercomputer Facility |x 2 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |l Supercomputing & Big Data |
| 914 | 1 | _ | |y 2017 |
| 915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 920 | 1 | _ | |0 I:(DE-82)080012_20140620 |k JARA-HPC |l JARA - HPC |x 1 |
| 980 | _ | _ | |a contrib |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a contb |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | _ | _ | |a I:(DE-82)080012_20140620 |
| 980 | _ | _ | |a UNRESTRICTED |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|