Gast ::
| Hauptseite > Publikationsdatenbank > Extreme-Scale In Situ Visualization of Turbulent Flows on IBM Blue Gene/Q JUQUEEN > print |
| Hauptseite > Publikationsdatenbank > Extreme-Scale In Situ Visualization of Turbulent Flows on IBM Blue Gene/Q JUQUEEN > print |
| 001 | 825488 | ||
| 005 | 20250314084115.0 | ||
| 020 | _ | _ | |a 978-3-319-46078-9 (print) |
| 020 | _ | _ | |a 978-3-319-46079-6 (electronic) |
| 024 | 7 | _ | |a 10.1007/978-3-319-46079-6_4 |2 doi |
| 024 | 7 | _ | |a 0302-9743 |2 ISSN |
| 024 | 7 | _ | |a 1611-3349 |2 ISSN |
| 024 | 7 | _ | |a WOS:000389802700005 |2 WOS |
| 037 | _ | _ | |a FZJ-2016-07949 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 004 |
| 100 | 1 | _ | |a Göbbert, Jens Henrik |0 P:(DE-Juel1)168541 |b 0 |e Corresponding author |
| 111 | 2 | _ | |a ISC High Performance 2016 |c Frankfurt |d 2016-06-19 - 2016-06-23 |w Germany |
| 245 | _ | _ | |a Extreme-Scale In Situ Visualization of Turbulent Flows on IBM Blue Gene/Q JUQUEEN |
| 260 | _ | _ | |a Cham |c 2016 |b Springer International Publishing |
| 295 | 1 | 0 | |a High Performance Computing - ISC High Performance 2016 International Workshops, ExaComm, E-MuCoCoS, HPC-IODC, IXPUG, IWOPH, P3MA, VHPC, WOPSSS |
| 300 | _ | _ | |a 45 - 55 |
| 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 1662443534_14098 |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 9945 |
| 520 | _ | _ | |a Extracting and analyzing detailed information from largesimulations is of crucial importance for science. However, with the in-creasing problem size of nowadays simulations, the process of visualizingand understanding big simulation raw data becomes more difficult andneeds additional effort. More precisely, the gap between compute and I/Operformance is widening with current supercomputers. Thus, the classi-cal approach of visualizing simulation results in a post-processing stepis limited or even impossible for extreme-scale scenarios. One promisingtechnique to overcome this issue is in situ visualization, which visual-izes and analyzes simulation data on simulation runtime. Within thiswork, in situ visualization using VisIt/Libsim has been added to theCIAO code framework for interactive- and batch-mode visualization onJUQUEEN, an IBM Blue Gene/Q system with 458 752 cores. Full-systemruns are demonstrated and early-results of performance measurementsof an extreme-scale multiphase case are discussed. |
| 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 Scalable Performance Analysis of Large-Scale Parallel Applications (jzam11_20091101) |0 G:(DE-Juel1)jzam11_20091101 |c jzam11_20091101 |f Scalable Performance Analysis of Large-Scale Parallel Applications |x 1 |
| 536 | _ | _ | |0 G:(DE-Juel-1)ATMLPP |a ATMLPP - ATML Parallel Performance (ATMLPP) |c ATMLPP |x 2 |
| 588 | _ | _ | |a Dataset connected to CrossRef Book Series |
| 700 | 1 | _ | |a Bode, Mathis |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Wylie, Brian J. N. |0 P:(DE-Juel1)132302 |b 2 |
| 773 | _ | _ | |a 10.1007/978-3-319-46079-6_4 |p 45-55 |v 9945 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/825488/files/chp_10.1007_978-3-319-46079-6_4.pdf |y Restricted |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/825488/files/chp_10.1007_978-3-319-46079-6_4.gif?subformat=icon |x icon |y Restricted |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/825488/files/chp_10.1007_978-3-319-46079-6_4.jpg?subformat=icon-1440 |x icon-1440 |y Restricted |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/825488/files/chp_10.1007_978-3-319-46079-6_4.jpg?subformat=icon-180 |x icon-180 |y Restricted |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/825488/files/chp_10.1007_978-3-319-46079-6_4.jpg?subformat=icon-640 |x icon-640 |y Restricted |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/825488/files/chp_10.1007_978-3-319-46079-6_4.pdf?subformat=pdfa |x pdfa |y Restricted |
| 909 | C | O | |p VDB |o oai:juser.fz-juelich.de:825488 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)168541 |
| 910 | 1 | _ | |a Institut für Technische Verbrennung, RWTH Aachen University |0 I:(DE-HGF)0 |b 1 |6 P:(DE-HGF)0 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)132302 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Supercomputing & Big Data |1 G:(DE-HGF)POF3-510 |0 G:(DE-HGF)POF3-511 |3 G:(DE-HGF)POF3 |2 G:(DE-HGF)POF3-500 |4 G:(DE-HGF)POF |v Computational Science and Mathematical Methods |x 0 |
| 914 | 1 | _ | |y 2016 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |
| 915 | _ | _ | |a No Authors Fulltext |0 StatID:(DE-HGF)0550 |2 StatID |
| 915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |
| 920 | _ | _ | |l yes |
| 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 |
|---|