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In Situ Visualization of WRF Data Using Universal Data Junction

dc.contributor.authorEsposito, Aniello
dc.contributor.authorHolst, Glendon
dc.date.accessioned2021-12-06T07:21:59Z
dc.date.available2021-12-06T07:21:59Z
dc.date.issued2021-11-13
dc.identifier.citationEsposito, A., & Holst, G. (2021). In Situ Visualization of WRF Data Using Universal Data Junction. High Performance Computing, 475–483. doi:10.1007/978-3-030-90539-2_32
dc.identifier.isbn9783030905385
dc.identifier.issn1611-3349
dc.identifier.issn0302-9743
dc.identifier.doi10.1007/978-3-030-90539-2_32
dc.identifier.urihttp://hdl.handle.net/10754/673905
dc.description.abstractAn in situ co-processing visualization pipeline based on the Universal Data Junction (UDJ) library and Inshimtu is presented and used for processing data from Weather Research and Forecasting (WRF) simulations. For the common case of analyzing just a number of fields during simulation, UDJ transfers and redistributes the data in approximately 6 % of the time needed by WRF for a MPI-IO output of all variables upon which a previous method with Inshimtu is based. The relative cost of transport and redistribution compared to IO remains approximately constant up to the highest considered node count without obvious impediments to scale further.
dc.description.sponsorshipThis work is part of the HPE/Cray center of excellence collaboration at KAUST. UDJ development has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 773897. We want to thank Hari Dasari colleagues for helping with the test case as well as Tim Dykes and Utz Uwe Haus from the HPE EMEA research lab for support with UDJ.
dc.publisherSpringer International Publishing
dc.relation.urlhttps://link.springer.com/10.1007/978-3-030-90539-2_32
dc.rightsArchived with thanks to Springer International Publishing
dc.subjectIn situ
dc.subjectCo-processing
dc.subjectUniversal data junction
dc.subjectInshimtu
dc.titleIn Situ Visualization of WRF Data Using Universal Data Junction
dc.typeConference Paper
dc.contributor.departmentBiological and Environmental Science and Engineering (BESE) Division
dc.contributor.departmentVisualization
dc.conference.date2021-06-24 to 2021-07-02
dc.conference.nameInternational Conference on High Performance Computing, ISC High Performance 2021
dc.conference.locationVirtual, Online
dc.eprint.versionPost-print
dc.contributor.institutionHewlett Packard Enterprise, Basel, Switzerland
dc.identifier.volume12761 LNCS
dc.identifier.pages475-483
kaust.personHolst, Glendon
dc.identifier.eid2-s2.0-85119879531


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