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000825488 041__ $$aEnglish
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000825488 1001_ $$0P:(DE-Juel1)168541$$aGöbbert, Jens Henrik$$b0$$eCorresponding author
000825488 1112_ $$aISC High Performance 2016$$cFrankfurt$$d2016-06-19 - 2016-06-23$$wGermany
000825488 245__ $$aExtreme-Scale In Situ Visualization of Turbulent Flows on IBM Blue Gene/Q JUQUEEN
000825488 260__ $$aCham$$bSpringer International Publishing$$c2016
000825488 29510 $$aHigh Performance Computing - ISC High Performance 2016 International Workshops, ExaComm, E-MuCoCoS, HPC-IODC, IXPUG, IWOPH, P3MA, VHPC, WOPSSS
000825488 300__ $$a45 - 55
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000825488 3367_ $$0PUB:(DE-HGF)7$$2PUB:(DE-HGF)$$aContribution to a book$$mcontb
000825488 4900_ $$aLecture Notes in Computer Science$$v9945
000825488 520__ $$aExtracting 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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000825488 536__ $$0G:(DE-Juel1)jzam11_20091101$$aScalable Performance Analysis of Large-Scale Parallel Applications (jzam11_20091101)$$cjzam11_20091101$$fScalable Performance Analysis of Large-Scale Parallel Applications$$x1
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000825488 7001_ $$0P:(DE-HGF)0$$aBode, Mathis$$b1
000825488 7001_ $$0P:(DE-Juel1)132302$$aWylie, Brian J. N.$$b2
000825488 773__ $$a10.1007/978-3-319-46079-6_4$$p45-55$$v9945
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000825488 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a  Institut für Technische Verbrennung, RWTH Aachen University$$b1
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