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| 020 | _ | _ | |a 978-3-319-46078-9 (print) |
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| 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 |
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| 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. |
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