000905719 001__ 905719
000905719 005__ 20220420144359.0
000905719 020__ $$a978-3-030-90538-5
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000905719 0247_ $$2doi$$a10.1007/978-3-030-90539-2_35
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000905719 037__ $$aFZJ-2022-00944
000905719 1001_ $$0P:(DE-Juel1)177933$$aWitzler, Christian$$b0$$eCorresponding author
000905719 1112_ $$aISC High Performance Digital 2021 International Workshops$$cFrankfurt$$d2021-06-24 - 2021-07-02$$wGermany
000905719 245__ $$aIncluding in situ visualization and analysis in PDI
000905719 260__ $$aCham$$bSpringer$$c2021
000905719 300__ $$a508-512
000905719 3367_ $$2ORCID$$aCONFERENCE_PAPER
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000905719 3367_ $$0PUB:(DE-HGF)8$$2PUB:(DE-HGF)$$aContribution to a conference proceedings$$bcontrib$$mcontrib$$s1648735215_30678
000905719 3367_ $$0PUB:(DE-HGF)7$$2PUB:(DE-HGF)$$aContribution to a book$$mcontb
000905719 4900_ $$aLecture Notes in Computer Science$$v12761
000905719 520__ $$aThe goal of this work was to integrate in situ possibilities into the general-purpose code-coupling library PDI [1]. This is done using the simulation code Alya as an example. Here, an open design is taken into account to later create possibilities to extend this to other simulation codes, that are using PDI.Here, an in transit solution was chosen to separate the simulation as much as possible from the analysis and visualization. To implement this, ADIOS2 is used for data transport. However, to prevent too strong a commitment to one tool, SENSEI is interposed between simulation and ADIOS2 as well as in the in-transit endpoint between ADIOS2 and the visualization software. This allows a user who wants a different solution to easily implement it. However, the visualization with ParaView Catalyst was chosen as default for the time being
000905719 536__ $$0G:(DE-HGF)POF4-5112$$a5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
000905719 536__ $$0G:(EU-Grant)824158$$aEoCoE-II - Energy Oriented Center of Excellence : toward exascale for energy (824158)$$c824158$$fH2020-INFRAEDI-2018-1$$x1
000905719 536__ $$0G:(EU-Grant)952181$$aCoEC - Center of Excellence in Combustion (952181)$$c952181$$fH2020-INFRAEDI-2019-1$$x2
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000905719 7001_ $$0P:(DE-HGF)0$$aMiguel Zavala-Aké, J.$$b1
000905719 7001_ $$0P:(DE-HGF)0$$aSierocinski, Karol$$b2
000905719 7001_ $$0P:(DE-HGF)0$$aOwen, Herbert$$b3
000905719 773__ $$a10.1007/978-3-030-90539-2_35
000905719 8564_ $$uhttps://juser.fz-juelich.de/record/905719/files/5thInSituWorkshop.pdf$$yOpenAccess
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000905719 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)177933$$aForschungszentrum Jülich$$b0$$kFZJ
000905719 9131_ $$0G:(DE-HGF)POF4-511$$1G:(DE-HGF)POF4-510$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5112$$aDE-HGF$$bKey Technologies$$lEngineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action$$vEnabling Computational- & Data-Intensive Science and Engineering$$x0
000905719 9141_ $$y2021
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000905719 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
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